Ph.D. Program

Degree requirements.

In outline, to earn the PhD in either Mathematics or Applied Mathematics, the candidate must meet the following requirements.

  • Take at least 4 courses, 2 or more of which are graduate courses offered by the Department of Mathematics
  • Pass the six-hour written Preliminary Examination covering calculus, real analysis, complex analysis, linear algebra, and abstract algebra; students must pass the prelim before the start of their second year in the program (within three semesters of starting the program)
  • Pass a three-hour, oral Qualifying Examination emphasizing, but not exclusively restricted to, the area of specialization. The Qualifying Examination must be attempted within two years of entering the program
  • Complete a seminar, giving a talk of at least one-hour duration
  • Write a dissertation embodying the results of original research and acceptable to a properly constituted dissertation committee
  • Meet the University residence requirement of two years or four semesters

Detailed Regulations

The detailed regulations of the Ph.D. program are the following:

Course Requirements

During the first year of the Ph.D. program, the student must enroll in at least 4 courses. At least 2 of these must be graduate courses offered by the Department of Mathematics. Exceptions can be granted by the Vice-Chair for Graduate Studies.

Preliminary Examination

The Preliminary Examination consists of 6 hours (total) of written work given over a two-day period (3 hours/day). Exam questions are given in calculus, real analysis, complex analysis, linear algebra, and abstract algebra. The Preliminary Examination is offered twice a year during the first week of the fall and spring semesters.

Qualifying Examination

To arrange the Qualifying Examination, a student must first settle on an area of concentration, and a prospective Dissertation Advisor (Dissertation Chair), someone who agrees to supervise the dissertation if the examination is passed. With the aid of the prospective advisor, the student forms an examination committee of 4 members.  All committee members can be faculty in the Mathematics Department and the chair must be in the Mathematics Department. The QE chair and Dissertation Chair cannot be the same person; therefore, t he Math member least likely to serve as the dissertation advisor should be selected as chair of the qualifying exam committee . The syllabus of the examination is to be worked out jointly by the committee and the student, but before final approval, it is to be circulated to all faculty members of the appropriate research sections. The Qualifying Examination must cover material falling in at least 3 subject areas and these must be listed on the application to take the examination. Moreover, the material covered must fall within more than one section of the department. Sample syllabi can be reviewed online or in 910 Evans Hall. The student must attempt the Qualifying Examination within twenty-five months of entering the PhD program. If a student does not pass on the first attempt, then, on the recommendation of the student's examining committee, and subject to the approval of the Graduate Division, the student may repeat the examination once. The examining committee must be the same, and the re-examination must be held within thirty months of the student's entrance into the PhD program. For a student to pass the Qualifying Examination, at least one identified member of the subject area group must be willing to accept the candidate as a dissertation student.

PhD Program

More information and a full list of requirements for the PhD program in Mathematics can be found in the University Bulletin .

During their first year in the program, students typically engage in coursework and seminars which prepare them for the  Qualifying Examinations .  Currently, these two exams test the student’s breadth of knowledge in algebra and real analysis. 

Starting in Autumn 2023, students will choose 2 out of 4 qualifying exam topics: 

  • real analysis
  • geometry and topology
  • applied mathematics

Course Requirements for students starting prior to Autumn 2023

To qualify for candidacy, the student must have successfully completed 27 units of Math graduate courses numbered between 200 and 297.

Within the 27 units, students must satisfactorily complete a course sequence. This can be fulfilled in one of the following ways:

  • Math 215A, B, & C: Algebraic Topology, Differential Topology, and Differential Geometry
  • Math 216A, B, & C: Introduction to Algebraic Geometry
  • Math 230A, B, & C: Theory of Probability
  • 3 quarter course sequence in a single subject approved in advance by the Director of Graduate Studies.

Course Requirements for students starting in Autumn 2023 and later

To qualify for candidacy, the student must have successfully completed 27 units of Math graduate courses numbered between 200 and 297. The course sequence requirement is discontinued for students starting in Autumn 2023 and later.

By the end of Spring Quarter of their second year in the program, students must have a dissertation advisor and apply for Candidacy.

During their third year, students will take their Area Examination , which must be completed by the end of Winter Quarter. This exam assesses the student’s breadth of knowledge in their particular area of research. The Area Examination is also used as an opportunity for the student to present their committee with a summary of research conducted to date as well as a detailed plan for the remaining research.

Years 4&5

Typically during the latter part of the fourth or early part of the fifth year of study, students are expected to finish their dissertation research. At this time, students defend their dissertation as they sit for their University Oral Examination. Following the dissertation defense, students take a short time to make final revisions to their actual papers and submit the dissertation to their reading committee for final approval.

Throughout the PhD Program

All students continue through each year of the program serving some form of Assistantship: Course, Teaching or Research, unless they have funding from outside the department.

Our graduate students are very active as both leaders and participants in seminars and colloquia in their chosen areas of interest.

phd in maths duration

  • Doing a PhD in Mathematics
  • Doing a PhD

What Does a PhD in Maths Involve?

Maths is a vast subject, both in breadth and in depth. As such, there’s a significant number of different areas you can research as a math student. These areas usually fall into one of three categories: pure mathematics, applied mathematics or statistics. Some examples of topics you can research are:

  • Number theory
  • Numerical analysis
  • String theory
  • Random matrix theory
  • Graph theory
  • Quantum mechanics
  • Statistical forecasting
  • Matroid theory
  • Control theory

Besides this, because maths focuses on addressing interdisciplinary real-world problems, you may work and collaborate with other STEM researchers. For example, your research topic may relate to:

  • Biomechanics and transport processes
  • Evidence-based medicine
  • Fluid dynamics
  • Financial mathematics
  • Machine learning
  • Theoretical and Computational Optimisation

What you do day-to-day will largely depend on your specific research topic. However, you’ll likely:

  • Continually read literature – This will be to help develop your knowledge and identify current gaps in the overall body of knowledge surrounding your research topic.
  • Undertake research specific to your topic – This can include defining ideas, proving theorems and identifying relationships between models.
  • Collect and analyse data – This could comprise developing computational models, running simulations and interpreting forecasts etc.
  • Liaise with others – This could take many forms. For example, you may work shoulder-to-shoulder with individuals from different disciplines supporting your research, e.g. Computer scientists for machine learning-based projects. Alternatively, you may need frequent input from those who supplied the data for your research, e.g. Financial institutions or biological research colleagues.
  • Attend a wide range of lectures, seminars and events.

Browse PhD Opportunities in Mathematics

Application of artificial intelligence to multiphysics problems in materials design, study of the human-vehicle interactions by a high-end dynamic driving simulator, physical layer algorithm design in 6g non-terrestrial communications, machine learning for autonomous robot exploration, detecting subtle but clinically significant cognitive change in an ageing population, how long does it take to get a phd in maths.

The average programme duration for a mathematics PhD in the UK is 3 to 4 years for a full-time studying. Although not all universities offer part-time maths PhD programmes, those that do have a typical programme duration of 5 to 7 years.

Again, although the exact arrangement will depend on the university, most maths doctorates will require you to first register for an MPhil . At the end of your first year, your supervisor will assess your progress to decide whether you should be registered for a PhD.

Additional Learning Modules

Best Universities for Maths PhD UK

Some Mathematics departments will require you to enrol on to taught modules as part of your programme. These are to help improve your knowledge and understanding of broader subjects within your field, for example, Fourier Analysis, Differential Geometry and Riemann Surfaces. Even if taught modules aren’t compulsory in several universities, your supervisor will still encourage you to attend them for your development.

Most UK universities will also have access to specialised mathematical training courses. The most common of these include Pure Mathematics courses hosted by Mathematics Access Grid Conferencing ( MAGIC ) and London Taught Course Centre ( LTCC ) and Statistics courses hosted by Academy for PhD Training in Statistics ( APTS ).

What Are the Typical Entry Requirements for A PhD in Maths?

In the UK, the typical entry requirements for a Maths PhD is an upper second-class (2:1) Master’s degree (or international equivalent) in Mathematics or Statistics [1] .

However, there is some variation on this. From writing, the lowest entry requirement is an upper second-class (2:1) Bachelor’s degree in any math-related subject. The highest entry requirement is a first-class (1st) honours Master’s degree in a Mathematics or Statistics degree only.

1st Class Honours Master’s degree. Degree must be in Mathematics or Statistics. 2:1 Master’s degree in Mathematics, Statistics or a closely related subject. 2:1 Bachelor’s degree in Mathematics, Statistics or a closely related subject.

It’s worth noting if you’re applying to a position which comes with funding provided directly by the Department, the entry requirements will usually be on the higher side because of their competitiveness.

In terms of English Language requirements, most mathematics departments require at least an overall IELTS (International English Language Testing System) score of 6.5, with no less than 6.0 in each individual subtest.

Tips to Consider when Making Your Application

When applying to any mathematics PhD, you’ll be expected to have a good understanding of both your subject field and the specific research topic you are applying to. To help show this, it’s advisable that you demonstrate recent engagement in your research topic. This could be by describing the significance of a research paper you recently read and outlining which parts interested you the most, and why. Additionally, you can discuss a recent mathematics event you attended and suggest ways in how what you learnt might apply to your research topic.

As with most STEM PhDs, most maths PhD professors prefer you to discuss your application with them directly before putting in a formal application. The benefits of this is two folds. First, you’ll get more information on what their department has to offer. Second, the supervisor can better discover your interest in the project and gauge whether you’d be a suitable candidate. Therefore, we encourage you to contact potential supervisors for positions you’re interested in before making any formal applications.

How Much Does a Maths PhD Typically Cost?

The typical tuition fee for a PhD in Maths in the UK is £4,407 per year for UK/EU students and £20,230 per year for international students. This, alongside the range in tuition fees you can expect, is summarised below:

UK/EU Full-Time £4,407 £4,327 – £8,589
UK/EU Part-Time £2,204 £2,164 – £4,295
International Full-Time £20,230 £15,950 – £24,531
International Part-Time £10,115 £7,975 – £12,266

Note: The above tuition fees are based on 12 UK Universities [1]  for 2020/21 Mathematic PhD positions. The typical fee has been taken as the median value.

In addition to the above, it’s not unheard of for research students to be charged a bench fee. In case you’re unfamiliar with a bench fee, it’s an annual fee additional to your tuition, which covers the cost of specialist equipment or resources associated with your research. This can include the upkeep of supercomputers you may use, training in specialist analysis software, or travelling to conferences. The exact fee will depend on your specific research topic; however, it should be minimal for most mathematic projects.

What Specific Funding Opportunities Are There for A PhD in Mathematics?

Alongside the usual funding opportunities available to all PhD Research students such as doctoral loans, departmental scholarships, there are a few other sources of funding available to math PhD students. Examples of these include:

You can find more information on these funding sources here: DiscoverPhDs funding guide .

What Specific Skills Do You Gain from Doing a PhD in Mathematics?

A doctorate in Mathematics not only demonstrates your commitment to continuous learning, but it also provides you with highly marketable skills. Besides subject-specific skills, you’ll also gain many transferable skills which will prove useful in almost all industries. A sample of these skills is listed below.

  • Logical ability to consider and analyse complex issues,
  • Commitment and persistence towards reaching research goals,
  • Outstanding verbal and written skills,
  • Strong attention to detail,
  • The ability to liaise with others from unique disciple backgrounds and work as part of a team
  • Holistic deduction and reasoning skills,
  • Forming and explaining mathematical and logical solutions to a wide range of real-world problems,
  • Exceptional numeracy skills.

What Jobs Can You Get with A Maths PhD?

Jobs for Maths PhDs - PhD in Mathematics Salary

One of the greatest benefits maths PostDocs will have is the ability to pursue a wide range of career paths. This is because all sciences are built on core principles which, to varying extents, are supported by the core principles of mathematics. As a result, it’s not uncommon to ask students what path they intend to follow after completing their degree and receive entirely different answers. Although not extensive by any means, the most common career paths Math PostDocs take are listed below:

  • Academia – Many individuals teach undergraduate students at the university they studied at or ones they gained ties to during their research. This path is usually the preferred among students who want to continue focusing on mathematical theories and concepts as part of their career.
  • Postdoctoral Researcher – Others continue researching with their University or with an independent organisation. This can be a popular path because of the opportunities it provides in collaborative working, supervising others, undertaking research and attending conferences etc.
  • Finance – Because of their deepened analytical skills, it’s no surprise that many PostDocs choose a career in finance. This involves working for some of the most significant players in the financial district in prime locations including London, Frankfurt and Hong Kong. Specific job titles can include Actuarial, Investment Analyst or Risk Modeller.
  • Computer Programming – Some students whose research involves computational mathematics launch their career as a computer programmer. Due to their background, they’ll typically work on specialised projects which require high levels of understanding on the problem at hand. For example, they may work with physicists and biomedical engineers to develop a software package that supports their more complex research.
  • Data Analyst – Those who enjoy number crunching and developing complex models often go into data analytics. This can involve various niches such as forecasting or optimisation, across various fields such as marketing and weather.

What Are Some of The Typical Employers Who Hire Maths PostDocs?

As mentioned above, there’s a high demand for skilled mathematicians and statisticians across a broad range of sectors. Some typical employers are:

  • Education – All UK and international universities
  • Governments – STFC and Department for Transport
  • Healthcare & Pharmaceuticals – NHS, GSK, Pfizer
  • Finance & Banking – e.g. Barclays Capital, PwC and J. P. Morgan
  • Computing – IBM, Microsoft and Facebook
  • Engineering – Boeing, Shell and Dyson

The above is only a small selection of employers. In reality, mathematic PostDocs can work in almost any industry, assuming the role is numerical-based or data-driven.

Math PhD Employer Logos

How Much Can You Earn with A PhD in Maths?

As a mathematics PhD PostDoc, your earning potential will mostly depend on your chosen career path. Due to the wide range of options, it’s impossible to provide an arbitrary value for the typical salary you can expect.

However, if you pursue one of the below paths or enter their respective industry, you can roughly expect to earn [3] :

Academic Lecturer

  • Approximately £30,000 – £35,000 starting salary
  • Approximately £40,000 with a few years experience
  • Approximately £45,000 – £55,000 with 10 years experience
  • Approximately £60,000 and over with significant experience and a leadership role. Certain academic positions can earn over £80,000 depending on the management duties.

Actuary or Finance

  • Approximately £35,000 starting salary
  • Approximately £45,000 – £55,000 with a few years experience
  • Approximately £70,000 and over with 10 years experience
  • Approximately £180,000 and above with significant experience and a leadership role.

Aerospace or Mechanical Engineering

  • Approximately £28,000 starting salary
  • Approximately £35,000 – £40,000 with a few years experience
  • Approximately £60,000 and over with 10 years experience

Data Analyst

  • Approximately £45,000 – £50,000 with a few years experience
  • Approximately £90,000 and above with significant experience and a leadership role.

Again, we stress that the above are indicative values only. Actual salaries will depend on the specific organisation and position and responsibilities of the individual.

Facts and Statistics About Maths PhD Holders

The below chart provides useful insight into the destination of Math PostDocs after completing their PhD. The most popular career paths from other of highest to lowest is education, information and communication, finance and scientific research, manufacturing and government.

Percentage of Math PostDocs entering an industry upon graduating

Note: The above chart is based on ‘UK Higher Education Leavers’ data [2] between 2012/13 and 2016/17 and contains a data size of 200 PostDocs. The data was obtained from the Higher Education Statistics Agency ( HESA ).

Which Noteworthy People Hold a PhD in Maths?

Alan turing.

Alan_Turing

Alan Turing was a British Mathematician, WW2 code-breaker and arguably the father of computer science. Alongside his lengthy list of achievements, Turning achieved a PhD in Mathematics at Princeton University, New Jersey. His thesis titled ‘Systems of Logic Based on Ordinals’ focused on the concepts of ordinal logic and relative computing; you can read it online here . To this day, Turning pioneering works continues to play a fundamental role in shaping the development of artificial intelligence (AI).

Ruth Lawrence

phd in maths duration

Ruth Lawrence is a famous British–Israeli Mathematician well known within the academic community. Lawrence earned her PhD in Mathematics from Oxford University at the young age of 17! Her work focused on algebraic topology and knot theory; you can read her interesting collection of research papers here . Among her many contributions to Maths, her most notable include the representation of the braid groups, more formally known as Lawrence–Krammer representations.

Emmy Noether

phd in maths duration

Emmy Noether was a German mathematician who received her PhD from the University of Erlangen, Germany. Her research has significantly contributed to both abstract algebra and theoretical physics. Additionally, she proved a groundbreaking theorem important to Albert Einstein’s general theory of relativity. In doing so, her theorem, Noether’s theorem , is regarded as one of the most influential developments in physics.

Other Useful Resources

Institute of Mathematics and its Applications (IMA) – IMA is the UK’s professional body for mathematicians. It contains a wide range of useful information, from the benefits of further education in Maths to details on grants and upcoming events.

Maths Careers – Math Careers is a site associated with IMA that provides a wide range of advice to mathematicians of all ages. It has a section dedicated to undergraduates and graduates and contains a handful of information about progressing into research.

Resources for Graduate Students – Produced by Dr Mak Tomford, this webpage contains an extensive collection of detailed advice for Mathematic PhD students. Although the site uses US terminology in places, don’t let that put you off as this resource will prove incredibly helpful in both applying to and undertaking your PhD.

Student Interviews – Still wondering whether a PhD is for you? If so, our collection of PhD interviews would be a great place to get an insider perspective. We’ve interviewed a wide range of PhD students across the UK to find out what doing a PhD is like, how it’s helped them and what advice they have for other prospective students who may be thinking of applying to one. You can read our insightful collection of interviews here .

[1] Universities used to determine the typical (median) and range of entry requirements and tuition fees for 2020/21 Mathematics PhD positions.

  • http://www.lse.ac.uk/study-at-lse/Graduate/Degree-programmes-2020/MPhilPhD-Mathematics
  • https://www.ox.ac.uk/admissions/graduate/courses/dphil-mathematics?wssl=1
  • https://www.graduate.study.cam.ac.uk/courses/directory/mapmpdpms
  • https://www.ucl.ac.uk/prospective-students/graduate/research-degrees/mathematics-mphil-phd
  • http://www.bristol.ac.uk/study/postgraduate/2020/sci/phd-mathematics/
  • https://www.surrey.ac.uk/postgraduate/mathematics-phd
  • https://www.maths.ed.ac.uk/school-of-mathematics/studying-here/pgr/phd-application
  • https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/mathematics-phd/
  • https://www.sussex.ac.uk/study/phd/degrees/mathematics-phd
  • https://www.manchester.ac.uk/study/postgraduate-research/programmes/list/05325/phd-pure-mathematics/
  • https://warwick.ac.uk/study/postgraduate/research/courses-2020/mathematicsphd/
  • https://www.exeter.ac.uk/pg-research/degrees/mathematics/

[2] Higher Education Leavers Statistics: UK, 2016/17 – Outcomes by subject studied – https://www.hesa.ac.uk/news/28-06-2018/sfr250-higher-education-leaver-statistics-subjects

[3] Typical salaries have been extracted from a combination of the below resources. It should be noted that although every effort has been made to keep the reported salaries as relevant to Math PostDocs as possible (i.e. filtering for positions which specify a PhD qualification as one of their requirements/preferences), small inaccuracies may exist due to data availability.

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Department of Mathematics

Requirements for the ph.d. degree.

In order to qualify for the Mathematics Ph.D., all students are required to:

  • Complete eight term courses at the graduate level, at least two with Honors grades.
  • Pass qualifying examinations on their general mathematical knowledge;
  • Submit a dissertation prospectus;
  • Participate in the instruction of undergraduates ;
  • Be in residence for at least three years;
  • Complete a dissertation that clearly advances understanding of the subject it considers.

All students must also complete any other  Graduate School of Arts and Sciences degree requirements  as they appear in the Programs and Policies bulletin.

The normal time for completion of the Ph.D. program is five to six years. Requirement (1) normally includes basic courses in algebra, analysis, and topology.  Students typically complete the eight-course requirement by the end of their third year.  The Honors grades of (1) must be achieved within the first two years.  A sequence of three qualifying examinations (algebra and number theory, real and complex analysis, topology) is offered each term.  All qualifying examinations must be passed by the end of the second year.  There is no limit to the number of times that students can take the exams, and so they are encouraged to take them as soon as possible.

The dissertation prospectus should be submitted during the third year. 

The thesis is expected to be independent work, done under the guidance of an adviser. This adviser should be contacted not long after the student passes the qualifying examinations. A student is admitted to candidacy after completing requirements (1)–(5) and obtaining an adviser.

In addition to all other requirements, students must successfully complete MATH 991a, Ethical Conduct of Research, prior to the end of their first year of study. This requirement must be met prior to registering for a second year of study.

Master’s Degrees :

The M.Phil. and M.S. degrees are conferred only en route to the Ph.D.; there is no separate master’s program in Mathematics.

M.Phil.   Please refer to the Graduate School Degree Requirements

M.S.   A student must complete six term courses with at least one Honors grade, perform adequately on the general qualifying examination, and be in residence at least one year.

UCI Mathematics

UCI Mathematics

Ph.d program, doctor of philosophy (phd) in mathematics.

To earn a PhD in Mathematics one must satisfy the following requirements:

  • Completion of all required coursework
  • Completion of required written examinations
  • Completion of Advancement to Candidacy Oral Examination & Graduate Division paperwork
  • Completion of Teaching Experience
  • Submission of Doctoral Dissertation & Graduate Division paperwork

When accepted into the doctoral program, the student embarks on a program of formal courses, seminars, and individual study courses to prepare for the Ph.D. written examinations, advancement to candidacy oral examination, and dissertation.

Upon entering the program, students are expected to take Math 210 (Real Analysis), Math 220 (Complex Analysis) and Math 230 (Algebra), which must be passed with a grade of B or better.  Students must complete these sequences by the end of the second year.

By the start of the second year , students must achieve at least two passes at the M.S. level among four exams in Real Analysis, Complex Analysis, Algebra and Applied Mathematics.  

By the start of the third year , students must achieve at least two passes at the Ph.D. level among four exams in Real Analysis, Complex Analysis, Algebra and Applied Mathematics.

To satisfy the exam requirements, students may take the Comprehensive Exam (offered in the Spring of every year) or the Qualifying Exams (offered before the start of the fall quarter) in these areas. Students may not attempt to take an exam in a particular subject area more than 3 times .  A student who passes a Qualifying examination prior to taking the corresponding course will be exempted from taking the course.

Please Note: Corresponding qualifying exam coursework, MATH 210,220, & 230 cannot be used to satisfy both exam and coursework requirements (i.e. you can’t ‘double dip’).

Some students may require additional background prior to entering Math 210.  This will be determined by assessment prior to the start of the students’ first year by the Vice Chair for Graduate Studies, upon consultation with the graduate studies committee.  Such students will be directed into Math 205 during their first year.  These students may pass one Comprehensive Exam in the area of Analysis in lieu of achieving a M.S. pass on the Qualifying Exam, which must be satisfied prior to the start of the students’ second year. The Comprehensive Exam in Analysis will be offered once per year in the Spring quarter.

By the end of the second year, students must declare a major specialization from the following areas:

  • Applied & Computational Mathematics
  • Geometry & Topology
  • Probability

Students are required to take two series of courses from their chosen area (students who later decide to change their area must also take two series of courses from the new area).  Additionally, all students must take two series of courses outside their declared major area of specialization.  Special topics courses within certain areas of specialization and courses counted toward the M.S. degree, (other than MATH 205), will count toward the fulfillment of the major specialization requirement.

By the beginning of their third year, students must have an advisor specializing in their major area.  With the advisor's aid, one should begin to form a committee for the Advancement to Candidacy PhD oral examination.  This committee will be approved by the Department on behalf of the Dean of Graduate Studies and the Graduate Council and will have five faculty members.  At least one (and at most two), of the committee members must be faculty from outside the Department.  Before the end of the third year, students must have a written proposal, approved by their committee, for the Advancement to Candidacy oral examination.  The proposal should explain the role of at least two series of courses from the student's major area of specialization that will be used to satisfy the Advancement to Candidacy requirements.  The proposal should also explain the role of additional research reading material as well as providing a plan for investigating specific topics under the direction of the student's advisor(s).  Only one of the core courses, MATH 210ABC, 220ABC, and 230ABC may count for the course requirement for Advancement to Candidacy Examinations.

After one meets these requirements, the Graduate Studies Committee recommends to the Dean of Graduate Studies the advancement to candidacy for the PhD. degree.  Students should advance to candidacy by the beginning of their fourth year .  After advancing to candidacy, a student is expected to be fully involved in research toward writing his or her PhD dissertation.  Ideally, a student should keep in steady contact/interaction with their doctoral committee.  Teaching experience and training is an integral part of the PhD program.  All doctoral students are expected to participate in the Department's teaching program, unless otherwise communicated during the admissions process.

The candidate must demonstrate independent, creative research in Mathematics by writing and defending a dissertation that makes a new and valuable contribution to mathematics in the candidate's area of concentration.  Upon advancement to candidacy a student must form a thesis committee, a subcommittee of the advancement examination committee, consisting of at least three total faculty members, chaired by the student's advisor.  The committee guides and supervises the candidate's research, study, and writing of the dissertation; participates in or attends the oral defense of the dissertation; and recommends that the PhD be conferred upon approval of the doctoral dissertation.

The normal time for completion of the PhD is six years , and the maximum time permitted is seven years (please note the department may only provide financial support for a maximum of six years ). 

Completion of the PhD degree must occur within 9 quarters of Advancement to PhD candidacy.

Areas of Specialization and Their Corresponding Advancement to Candidacy Courses

PhD students will choose one specialization from the following six areas, as offered by the Mathematics Department, which determines coursework requirements.  Each area of specialization will have a core course, which the Department will do its best to offer each year.  The department will offer other courses every other year, or more frequently depending on student demands and other department priorities.

Algebra : Math 230ABC (core), Math 232ABC, Math 233ABC, 234ABC, 235ABC, 239ABC

Analysis : Math 210ABC (core), Math 220ABC (core), Math 211ABC, Math 260ABC, Math 295ABC, Math 296

Applied & Computational Mathematics: Math 290ABC (core), Math 225ABC, Math 226ABC, Math 227AB, Math 291ABC, Math 295ABC

Geometry & Topology: Math 218ABC (core), Math 222ABC, Math 240ABC, Math 245ABC, Math 250ABC

Logic : Math 280ABC (core), Math 281ABC, Math 282ABC, Math 285ABC

Probability : Math 210ABC, Math 211ABC, Math 270ABC, Math 271ABC, Math 272ABC, Math 274

*PhD Requirements Summarized*

By the beginning of the 2nd year: Pass at the MS level two exams in real analysis, complex analysis, algebra or applied math.

By end of the 2nd year: (1) Declare a major specialization; (2) complete the course series 210ABC, 220ABC, 230ABC.

By the beginning of the 3rd year : (1) Pass at the PhD level two qualifying exams in real analysis, complex analysis, algebra or applied math; (2) Select an advisor specialist in the major area and form a committee for the Advancement to Candidacy oral exam.

Before the end of the 3rd year: (1) Have a written proposal, approved by the committee, for the PhD Advancement to Candidacy examination.

By the beginning of the 4th year: (1) Advanced to Candidacy at the PhD level; (2) form a thesis committee (that is, a subcommittee of the advancement examination committee)

Completion of the PhD:  Average completion time is 5.8 years ; maximum time permitted is seven years . The Department will not financially support students past their sixth year in the PhD program.  Completion of the PhD degree must occur within 9 quarters (three years) of advancement to PhD candidacy.

Graduate Program in Mathematical and Computation Biology (MCSB)

The graduate program in Mathematical, Computational Systems Biology (MCSB) is designed to meet to meet the interdisciplinary training challenges of modern biology and function in concert with selected department programs, including the Ph.D. in Mathematics.

http://mcsb.uci.edu/

Department of Mathematics

Mathematics phd program.

The Ph.D. program in the Department of Mathematics provides students with in-depth knowledge and rigorous training in all the subject areas of mathematics. A core feature is the first-year program, which helps bring students to the forefront of modern mathematics. Students work closely with faculty and each other and participate fully in both research and student-run seminars.

Questions? Email [email protected]

  • The firm deadline for applications for Autumn 2025, is December 5, 2024.
  • The (general and advanced) GRE tests are no longer accepted. Please do not submit these scores.

phd in maths duration

Ph.D. Program Overview

Description.

The graduate program in the field of mathematics at Cornell leads to the Ph.D. degree, which takes most students five to six years of graduate study to complete. One feature that makes the program at Cornell particularly attractive is the broad range of  interests of the faculty . The department has outstanding groups in the areas of algebra, algebraic geometry,  analysis, applied mathematics, combinatorics, dynamical systems, geometry, logic, Lie groups, number theory, probability, and topology. The field also maintains close ties with distinguished graduate programs in the fields of  applied mathematics ,  computer science ,  operations research , and  statistics .

Core Courses

A normal course load for a beginning graduate student is three courses per term. 

There are no qualifying exams, but the program requires that all students pass four courses to be selected from the six core courses. First-year students are allowed to place out of some (possibly, all) of the core courses. In order to place out of a course, students should contact the faculty member who is teaching the course during the current academic year, and that faculty member will make a decision. The minimum passing grade for the core courses is B-; no grade is assigned for placing out of a core course.

At least two core courses should be taken (or placed out) by the end of the first year. At least four core courses should be taken (or placed out) by the end of the second year (cumulative). These time requirements can be waived for students with health problems or other significant non-academic problems. They can be also waived for students who take time-consuming courses in another area (for example, CS) and who have strong support from a faculty; requests from such students should be made before the beginning of the spring semester. 

The core courses  are distributed among three main areas: analysis, algebra and topology/geometry. A student must pass at least one course from each group. All entering graduate students are encouraged to eventually take all six core courses with the option of an S/U grade for two of them. 

The six core courses are:

MATH 6110, Real Analysis

MATH 6120, Complex Analysis

MATH 6310, Algebra 1

MATH 6320, Algebra 2

MATH 6510, Introductory Algebraic Topology

MATH 6520, Differentiable Manifolds.

Students who are not ready to take some of the core courses may take MATH 4130-4140, Introduction to Analysis, and/or MATH 4330-4340, Introduction to Algebra, which are the honors versions of our core undergraduate courses.

"What is...?" Seminar

The "What Is...?" Seminar is a series of talks given by faculty in the graduate field of Mathematics. Speakers are selected by an organizing committee of graduate students. The goal of the seminar is to aid students in finding advisors.

Schedule for the "What Is...?" seminar

Special Committee

The Cornell Graduate School requires that every student selects a special committee (in particular, a thesis adviser, who is the chair or the committee) by the end of the third semester.

The emphasis in the Graduate School at Cornell is on individualized instruction and training for independent investigation. There are very few formal requirements and each student develops a program in conjunction with his or her special committee, which consists of three faculty members, some of which may be chosen from outside the field of mathematics. 

Entering students are not assigned special committees. Such students may contact any of the members on the Advising Committee if they have questions or need advice.

Current Advising Committee

Analysis / Probability / Dynamical Systems / Logic: Lionel Levine Geometry / Topology / Combinatorics: Kathryn Mann Probability / Statistics:  Philippe Sosoe Applied Mathematics Liaison: Richard Rand

Admission to Candidacy

To be admitted formally to candidacy for the Ph.D. degree, the student must pass the oral admission to candidacy examination or A exam. This must be completed before the beginning of the student's fourth year. Upon passing the A exam, the student will be awarded (at his/her request) an M.S. degree without thesis.

The admission to candidacy examination is given to determine if the student is “ready to begin work on a thesis.” The content and methods of examination are agreed on by the student and his/her special committee before the examination. The student must be prepared to answer questions on the proposed area of research, and to pass the exam, he/she must demonstrate expertise beyond just mastery of basic mathematics covered in the core graduate courses. 

To receive an advanced degree a student must fulfill the residence requirements of the Graduate School. One unit of residence is granted for successful completion of one semester of full-time study, as judged by the chair of the special committee. The Ph.D. program requires a minimum of six residence units. This is not a difficult requirement to satisfy since the program generally takes five to six years to complete. A student who has done graduate work at another institution may petition to transfer residence credit but may not receive more than two such credits.

The candidate must write a thesis that represents creative work and contains original results in that area. The research is carried on independently by the candidate under the supervision of the chairperson of the special committee. By the time of the oral admission to candidacy examination, the candidate should have selected as chairperson of the committee the faculty member who will supervise the research. When the thesis is completed, the student presents his/her results at the thesis defense or B Exam. All doctoral students take a Final Examination (the B Exam, which is the oral defense of the dissertation) upon completion of all requirements for the degree, no earlier than one month before completion of the minimum registration requirement.

Masters Degree in the Minor Field

Ph.D. students in the field of mathematics may earn a Special Master's of Science in Computer Science. Interested students must apply to the Graduate School using a form available for this purpose. To be eligible for this degree, the student must have a member representing the minor field on the special committee and pass the A-exam in the major field. The rules and the specific requirements for each master's program are explained on the referenced page.

Cornell will award at most one master's degree to any student. In particular, a student awarded a master's degree in a minor field will not be eligible for a master's degree in the major field.

Graduate Student Funding

Funding commitments made at the time of admission to the Ph.D. program are typically for a period of five years. Support in the sixth year is available by application, as needed. Support in the seventh year is only available by request from an advisor, and dependent on the availability of teaching lines. Following a policy from the Cornell Graduate School, students who require more than seven years to complete their degree shall not be funded as teaching assistants after the 14th semester.

Special Requests

Students who have special requests should first discuss them with their Ph.D. advisor (or with a field member with whom they work, if they don't have an advisor yet). If the advisor (or field faculty) supports the request, then it should be sent to the Director of Graduate Studies.  

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» » Graduate PhD Program

The Department of Mathematics offers a program leading to the degree of Doctor of Philosophy.

The PhD program is an intensive course of study designed for the full-time student planning a career in research and teaching at the university level or in quantitative research and development in industry or government. Admission is limited and highly selective. Successful applicants have typically pursued an undergraduate major in mathematics.

In the first year of PhD studies, students must pass written examinations in the areas of the basic . In the second year an oral examination on two selected topics must be passed. Subsequent years are devoted to seminars, research, and the preparation of a dissertation. Students are required to serve as a teaching assistant or instructor for four years beginning with the second year of study. All students must serve as a primary instructor for at least one semester; all others semesters students will serve as a teaching assistant. En route to the Ph.D., students will earn three degrees: a Master of Arts (after year one), a Master of Philosophy (after year four), and the Doctorate of Philosophy (after a successful thesis defense).

There are also allied doctoral programs in , , and .

The Mathematics Department is housed in a comfortable building containing an excellent , computing and printing facilities, faculty and graduate student offices, a lounge for tea and conversation, and numerous seminar and lecture rooms.

The department has a broad fellowship program designed to help qualified students achieve the PhD degree in the shortest practicable time. Each student admitted to the PhD program is appointed a fellow in the Department of Mathematics for a period of five years, contingent on good progress. A fellow receives a stipend for the nine-month academic year and is exempt from payment of tuition.

A fellow in the Department of Mathematics may hold a fellowship from a source outside Columbia University. When not prohibited by the terms of the outside fellowship, the University supplements the outside stipend to bring it up to the level of the University fellowship. Candidates for admission are urged to apply for fellowships for which they are eligible (e.g., National Science Foundation, Ford and Hertz Foundations).

All students admitted to the PhD program become fellows in the Department and are exempt from tuition. Students may be responsible for certain : a student activity fee and transcript fee.

Students in the PhD program are entitled to affordable University housing near the Department in Morningside Heights. This makes it possible to live comfortably in the University neighborhood on the fellowship stipend.

The PhD program in mathematics has an enrollment of approximately 60 students. Typically, 10-12 students enter each year. While students come from all over the world, they form an intellectually cohesive and socially supportive group.

New York City is America’s major center of culture. Columbia University’s remarkably pleasant and sheltered , near the Hudson River and Riverside Park, is situated within 20-30 minutes of Lincoln Center, Broadway theaters, Greenwich Village, and major museums. Most department members live within a short walk of the University.

Since receiving its charter from King George II in 1754, Columbia University has played an eminent role in American education. In addition to its various faculties and professional schools (such as Engineering, Law, and Medicine), the University has close ties with nearby museums, schools of music and theology, the United Nations, and the city government.

The application deadline is typically early December for admission the following September. Precise details on requirements and deadlines can be found . Applicants must submit all required documents by the posted deadline. Students whose undergraduate degree was not from an English-speaking country must also submit scores from the TOEFL or IELTS.  Applications must be filed .

 

:

Graduate School of Arts and Sciences
Columbia University
Office of Student Affairs
107 Low Library, MC 4304
New York, NY 10027
212-854-6729

Michael Harris
Director of Graduate Studies
Department of Mathematics
Columbia University
2990 Broadway
509 Mathematics, MC 4406
New York, NY 10027


Welcome to the Math PhD program at Harvard University and the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences.

Learn more about Harvard’s Math community and our statement on diversity and inclusion.

The Harvard Griffin GSAS Office of Equity, Diversity, Inclusion & Belonging offers diversity resources and student affinity groups for graduate students.

The Harvard University Office for Gender Equity has dedicated GSAS Title IX resource coordinators who work with and support graduate students.

open. The application deadline is December 15, 2021. -->

The pure math PhD admissions application is open. The application submission deadline is December 15, 2024.

For information on admissions and financial support , please visit the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences.

Harvard Griffin GSAS is committed to ensuring that our application fee does not create a financial obstacle. Applicants can determine eligibility for a fee waiver by completing a series of questions in the Application Fee section of the application. Once these questions have been answered, the application system will provide an immediate response regarding fee waiver eligibility.

Note for Harvard College Undergraduates

Since it is better for a student’s mathematical development to learn mathematics at different institutions so as to be exposed to a broader range of mathematical perspectives, ordinarily applications for the mathematics PhD program from Harvard College undergraduates are not considered. If exceptional circumstances warrant an application from a Harvard undergraduate, an advisor or mentor of that student should seek approval from the Director of Graduate Studies before the student submits an application.

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COLLEGE OF LIBERAL ARTS AND SCIENCES

Department of Mathematics

  • Ph.D. in Mathematics
  • General Information
  • Financial Aid
  • Answers to FAQ
  • M.S. in Mathematics
  • Ph.D. in Mathematics with Thesis in Actuarial Science
  • M.S. in Actuarial Science
  • M.S. in Applied Financial Mathematics
  • M.S. in Applied Financial Mathematics – Actuarial Science
  • Course Schedule
  • Preliminary Exams

Overview of Graduation Requirements

To graduate with a PhD in Mathematics, a student must satisfy all of the following requirements:

  • 45 credits, including 15 doctoral dissertation research credits/GRAD 6950
  • If you have a Master’s degree in mathematics at UConn, then 30 credits are required, including 15 doctoral dissertation research credits.
  • Pass at least one prelim exam after each semester for the first three semesters of their graduate study.
  • Finish all prelim exam requirements by the beginning of the spring semester in their second year.
  • Finish all core course requirements by the end of their second year of graduate study,
  • Choose a thesis advisor no later than the end of the fall semester of the third year.
  • Form your advisory committee :  Major Advisor and at least two Associate Advisors or Co-Major Advisors and at least one Associate Advisor.
  • Meant to further the student’s education, scholarship and professional development.
  • Material should be in the broad area in which the student intends to write a dissertation, but should not focus on the actual thesis research.  Students present and answer questions about the material they have studied.
  • The exam is normally taken at the end of the third year or beginning of the fourth year.
  • Submit Dissertation Proposal
  • Submit Plan of Study
  • Apply for Graduation in Student Admin by the fourth week of the final semester.
  • Dissertation Specifications under Dissertation Information
  • Thesis templates (for LaTex) are available on our Thesis Formatting page
  • Submit Approval Page – Step 7
  • Complete Survey of Earned Doctorates – Step 7
  • Add Diploma Address in Student Admin and Diploma Info.

Preliminary Examination and Core Course Requirements

Pure Mathematics

  • Math 5111/Measure and Integration
  • Math 5120/Complex Function Theory
  • Math 5210/Abstract Algebra
  • Math 5310/Introduction to Geometry and Topology I
  • Math 5160/Probability Theory and Stochastic Processes I
  • Math 5210/Abstract Algebra I
  • Math 5211/Abstract Algebra II
  • Math 5260/Mathematical Logic I
  • Math 5360/Differential Geometry

Applied Mathematics

  • Math 5410/Introduction to Applied Mathematics I
  • Math 5510/Numerical Analysis and Approximation Theory I
  • Math 5440/Partial Differential Equations
  • Math 5520/Finite Element Solution Methods I

Past Prelim Exams

Graduate Program

Our graduate program is unique from the other top mathematics institutions in the U.S. in that it emphasizes, from the start, independent research. Each year, we have extremely motivated and talented students among our new Ph.D. candidates who, we are proud to say, will become the next generation of leading researchers in their fields. While we urge independent work and research, there exists a real sense of camaraderie among our graduate students. As a result, the atmosphere created is one of excitement and stimulation as well as of mentoring and support. Furthermore, there exists a strong scholarly relationship between the Math Department and the Institute for Advanced Study, located just a short distance from campus, where students can make contact with members there as well as attend the IAS seminar series.  Our program has minimal requirements and maximal research and educational opportunities. We offer a broad variety of advanced research topics courses as well as more introductory level courses in algebra, analysis, and geometry, which help first-year students strengthen their mathematical background and get involved with faculty through basic course work. In addition to the courses, there are several informal seminars specifically geared toward graduate students: (1) Colloquium Lunch Talk, where experts who have been invited to present at the Department Colloquium give introductory talks, which allows graduate students to understand the afternoon colloquium more easily; (2) Graduate Student Seminar (GSS), which is organized and presented by graduate students for graduate students, creating a vibrant mathematical interaction among them; and, (3) What’s Happening in Fine Hall (WHIFH) seminar where faculty give talks in their own research areas specifically geared towards graduate students. Working or reading seminars in various research fields are also organized by graduate students each semester. First-year students are set on the fast track of research by choosing two advanced topics of research, beyond having a strong knowledge of three more general subjects: algebra, and real and complex analysis, as part of the required General Examination. It is the hope that one, or both, of the advanced topics will lead to the further discovery of a thesis problem. Students are expected to write a thesis in four years but will be provided an additional year to complete their work if deemed necessary. Most of our Ph.D.'s are successfully launched into academic positions at premier mathematical institutions as well as in industry .

Chenyang Xu

Jill leclair.

Ph.D. Degree Programs

The UCSD Mathematics Department admits students into the following Ph.D. programs:

  • Ph.D. in Mathematics -- Pure or Applied Mathematics.
  • Ph.D. in Mathematics with a  Specialization in Computational Science .
  • Ph.D. in Mathematics with a  Specialization in Statistics .

In addition, the department participates in the following Ph.D. programs:

  • Ph.D. in  Bioinformatics .
  • Ph.D. in  Mathematics and Science Education  (joint program between UCSD and SDSU).

For application information, go to  How to Apply (Graduate) .  

Ph.D. in Mathematics

The Ph.D. in Mathematics allows study in pure mathematics, applied mathematics and statistics. The mathematics department has over 60 faculty, approximately 100 Ph.D. students, and approximately 35 Masters students. A list of the UCSD mathematics faculty and their research interests can be found at  here . The Ph.D. in Mathematics program produces graduates with a preparation in teaching and a broad knowledge of mathematics. Our students go on to careers as university professors, as well as careers in industry or government.

In the first and second years of study, Ph.D. students take courses in preparation for three written qualifying examinations (quals). One qual must be taken in Algebra or Topology, and another in Real or Complex Analysis. A third qual may be taken in Numerical Analysis or Statistics or one of the remaining topics in the first two groups. All three quals must be passed by the start of the third year. After the qualifying exams are passed, the student is expected to choose an advisor and follow a course of study agreed on by the two of them. At this point, the student chooses a thesis topic, finds a doctoral committee and presents a talk on his or her proposed research topic. If the committee is satisfied with this talk, the student has "Advanced to Candidacy." The student will then pursue their research agenda with their advisor until they have solved an original problem. The student will submit a written dissertation and reconvene his or her committee for a Final Defense. At the Final Defense, the student gives a seminar talk that is very similar to a talk that he or she might give for a job interview.

Nearly every admitted Ph.D. student gets financial support. The financial support is most commonly in the form of a Teaching Assistantship, however, Research Assistantships and other fellowships are also available.

Because of the large faculty to student ratio, graduate students have many opportunities to interact with faculty in courses or smaller research seminars. The graduate students also run their own "Food for Thought" seminar for expository talks as well as a research seminar where they give talks about their research.

UCSD has excellent library facilities with strong collections in mathematics, science, and engineering. Ph.D. students are provided with access to computer facilities and office space.

Full-time students are required to register for a minimum of twelve (12) units every quarter, eight (8) of which must be graduate-level mathematics courses taken for a letter grade only. The remaining four (4) units can be approved upper-division or graduate-level courses in mathematics-related subjects (MATH 500 may not be used to satisfy any part of this requirement). After advancing to candidacy, Ph.D. candidates may take all course work on a Satisfactory/Unsatisfactory basis. Typically, students should not enroll in MATH 299 (Reading and Research) until they have passed at least two Qualifying Examinations at the PhD or Provisional PhD level, or obtained approval of their faculty advisor.  

Written Qualifying Examinations

Effective Fall Quarter 1998, the department made changes in their qualifying exam requirements with a view to:

  • improving applied mathematics' access to students and the attractiveness of its program to applicants; and
  • broadening the education of our doctoral students and leading more of them towards applied areas.

The department now offers written qualifying examinations in  SEVEN (7)  subjects. These are grouped into three areas as follows:  

Qualifying Examination Subject Areas
Complex Analysis
(MATH 220A-B-C)
Real Analysis
(MATH 240A-B-C)
 
Algebra
(MATH 200A-B-C)
Applied Algebra
(MATH 202A-B-C)
Topology
(MATH 290A-B-C)
Numerical Analysis
(MATH 270A-B-C)
Statistics
(MATH 281A-B-C)
 
  • Three qualifying examinations must be passed. At least one must be passed at the Ph.D. level and a second must be passed at either the Ph.D. or Provisional Ph.D. level.
  • Of the three qualifying exams, there must be at least one from each of Areas 1 and 2. 
  • Students must pass at least two exams from distinct areas with a minimum grade of Provisional Ph.D. (For example, a Ph.D. pass in Real Analysis, Provisional Ph.D. pass in Complex Analysis, M.A. pass in Algebra would  NOT  satisfy this requirement, but a Ph.D. pass in Real Analysis, M.A. pass in Complex Analysis, Provisional Ph.D. pass in Algebra would, as would a Ph.D. pass in Numerical Analysis, Provisional Ph.D. pass in Applied Algebra, and M.A. pass in Real Analysis.) All exams must be passed by the September exam session prior to the beginning of the third year of graduate studies. (Thus, there is no limit on the number of attempts, encouraging new students to take exams when they arrive, without penalty.) Except for this deadline, there is no limit on the number of exams a student may attempt.

After qualifying exams are given, the faculty meet to discuss the results of the exams with the Qualifying Exam and Appeals Committee (QEAC). Exam grades are reported at one of four levels:  

Qualifying Examination Pass Levels
Excellent performance, suitable for continuing towards doctoral work
Marginal performance at doctoral level
Not suitable for continuing towards doctoral work, but satisfactory for terminal M.A. or M.S.
Unsatisfactory for Master's level work

Department policy stipulates that at least one of the exams must be completed with a Provisional Ph.D. pass or better by September following the end of the first year. Anyone unable to complete this schedule will be terminated from the doctoral program and transferred to one of our Master's programs. Any grievances about exams or other matters can be brought before the Qualifying Exam and Appeals Committee for consideration.

Exams are typically offered twice a year, one scheduled late in the Spring Quarter and again in early September (prior to the start of Fall Quarter). Copies of past exams are available on the  Math Graduate Student Handbook .

In choosing a program with an eye to future employment, students should seek the assistance of a faculty advisor and take a broad selection of courses including applied mathematics, such as those in Area 3.  

Master's Transferring to Ph.D.

Any student who wishes to transfer from masters to the Ph.D. program will submit their full admissions file as Ph.D. applicants by the regular closing date for all Ph.D. applicants (end of the fall quarter/beginning of winter quarter). It is the student's responsibility to submit their files in a timely fashion, no later than the closing date for Ph.D. applications at the end of the fall quarter of their second year of masters study, or earlier. The candidate is required to add any relevant materials to their original masters admissions file, such as most recent transcript showing performance in our graduate program. Letters of support from potential faculty advisors are encouraged. The admissions committee will either recommend the candidate for admission to the Ph.D. program, or decline admission. In the event of a positive recommendation, the Qualifying Exam Committee checks the qualifying exam results of candidates to determine whether they meet the appropriate Ph.D. program requirements, at the latest by the fall of the year in which the application is received. For students in the second year of the master's program, it is required that the student has secured a Ph.D. advisor before admission is finalized. An admitted student is supported in the same way as continuing Ph.D. students at the same level of advancement are supported. Transferring from the Master's program may require renewal of an I-20 for international students, and such students should make their financial plans accordingly. To be eligible for TA support, non-native English speakers must pass the English exam administered by the department in conjunction with the Teaching + Learning Commons.  

Foreign Language Requirement

There is no Foreign Language requirement for the Ph.D. in Mathematics.  

Advancement to Candidacy

It is expected that by the end of the third year (9 quarters), students should have a field of research chosen and a faculty member willing to direct and guide them. A student will advance to candidacy after successfully passing the oral qualifying examination, which deals primarily with the area of research proposed but may include the project itself. This examination is conducted by the student's appointed doctoral committee. Based on their recommendation, a student advances to candidacy and is awarded the C. Phil. degree.  

Dissertation and Final Defense

Submission of a written dissertation and a final examination in which the thesis is publicly defended are the last steps before the Ph.D. degree is awarded. When the dissertation is substantially completed, copies must be provided to all committee members at least four weeks in advance of the proposed defense date. Two weeks before the scheduled final defense, a copy of the dissertation must be made available in the Department for public inspection.  

Time Limits

The normative time for the Ph.D. in mathematics is five (5) years. Students must be advanced to candidacy by the end of eleven (11) quarters. Total university support cannot exceed six (6) years. Total registered time at UCSD cannot exceed seven (7) years.  

Ph.D. Program Time Limits
Pass Qualifying Exams
Find thesis advisor
Advance to Candidacy
Final Defense

It may be useful to describe what the majority of students who have successfully completed their Ph.D. and obtained an academic job have done. In the past some students have waited until the last time limit before completing their qualifying exams, finding an advisor or advancing to candidacy. We strongly discourage this, because experience suggests that such students often do not complete the program. Although these are formal time limits, the general expectation is that students pass two qualifying exams, one at the Ph.D. level and one at the masters level by the beginning of their second year. (About half of our students accomplish this.) In the second year, a student begins taking reading courses so that they become familiar with the process of doing research and familiarize themselves with a number of faculty who may serve as their advisor. In surveying our students, on average, a student takes 4 to 5 reading courses before finding an advisor. Optimally, a student advances to candidacy sometime in their third year. This allows for the fourth and fifth year to concentrate on research and produce a thesis. In contrast to coursework, research is an unpredictable endeavor, so it is in the interest of the student to have as much time as possible to produce a thesis.

A student is also a teaching assistant in a variety of courses to strengthen their resume when they apply for a teaching job. Students who excel in their TA duties and who have advanced to candidacy are selected to teach a course of their own as an Associate Instructor. Because there are a limited number of openings to become an Associate Instructor, we highly recommend that you do an outstanding job of TAing in a large variety of courses and advance to candidacy as soon as possible to optimize your chances of getting an Associate Instructorship.

phd in maths duration

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NYU Courant Department of Mathematics

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Ph.D. Program in Mathematics

Degree requirements.

A candidate for the Ph.D. degree in mathematics must fulfill a number of different departmental requirements.

NYU Shanghai Ph.D. Track

The Ph.D. program also offers students the opportunity to pursue their study and research with Mathematics faculty based at NYU Shanghai. With this opportunity, students generally complete their coursework in New York City before moving full-time to Shanghai for their dissertation research. For more information, please visit the  NYU Shanghai Ph.D. page .

Sample course schedules (Years 1 and 2) for students with a primary interest in:

Year I - Fall Term Year I - Spring Term
Linear Algebra Topology II
Differential Geometry I Differential Geometry II
Real Variables Ordinary Differential Equations
Complex Variables Functional Analysis I
Year II - Fall Term Year II - Spring Term
Advanced Topics in Geometry: Isometric Immersions Before and After Nash Advanced Topics in Geometry: Randomness and Complexity
Advanced Topics in Geometry: High Dimensional Expanders and Ramanujan Complexes Advanced Topics in Geometry: Topics in Geometric Nonlinear Functional Analysis
Harmonic Analysis Advanced Topics in Geometry: Analysis and Geometry of Scalar Curvature
Advanced Topics in PDE: Resonances in PDEs Advanced Topics in PDE: Analytic Aspects of Harmonic Maps

Applied Math (Math Biology, Scientific Computing, Physical Applied Math, etc.)

Year I - Fall Term Year I - Spring Term
Linear Algebra Applied Stochastic Processes
PDE I Asymptotic Analysis
Fluid Mechanics Continuum mechanics
Numerical Methods I Numerical Methods II
Year II - Fall Term Year II - Spring Term
Neurophysiology and Neuronal Networks Data Analysis
Complex fluids Mathematical Physiology
Real Variables Geophysical Fluid Dynamics
Computational Fluid Dynamics Nonlinear Optimization

Additional information for students interested in studying applied math is available here .

Probability

Year I - Fall Term Year I - Spring Term
Stochastic Calculus Probability: Limit Theorems II
Probability: Limit Theorems I Applied Stochastic Analysis
Real Variables Advanced Topics in Probability: Random Graphs
Complex Variables Advanced Topics in Math Biology:Stochastic Problems in Cellular Molecular and Neural Biology
Year II - Fall Term Year II - Spring Term
Advanced Topics in Probability: Ergodic Theory of Markov Processes Advanced Topics in Geometry: Randomness and Complexity
Advanced Topics in Probability: Motion in Random Media Advanced Topics in Probability: Random Matrices
Advanced Topics in Applied Math: Quantifying Uncertainty in Complex Turbulent Systems Advanced Topics in Probability: Markov Chain Analysis
Derivative Securities Advanced Topics in Numerical Analysis: Monte Carlo Methods

PDE/Analysis

Year I - Fall Term Year I - Spring Term
Linear Algebra Topology II
PDE I Ordinary Differential Equations
Real Variables PDE II
Complex Variables Functional Analysis I
Year II - Fall Term Year II - Spring Term
Differential Geometry I Algebra II
Harmonic Analysis Advanced Topics in PDE: Extreme Problems for Elliptic Eigenvalues
Advanced Topics in Analysis: Calculus of Variations Advanced Topics in Analysis: Dynamics of the Nonlinear Schroedinger Equation
Probability: Limit Theorems I Probability: Limit Theorems II

The Written Comprehensive Examination

The examination tests the basic knowledge required for any serious mathematical study. It consists of the three following sections: Advanced Calculus, Complex Variables, and Linear Algebra. The examination is given on three consecutive days, twice a year, in early September and early January. Each section is allotted three hours and is written at the level of a good undergraduate course. Samples of previous examinations are available in the departmental office. Cooperative preparation is encouraged, as it is for all examinations. In the fall term, the Department offers a workshop, taught by an advanced Teaching Assistant, to help students prepare for the written examinations.

Entering students with a solid preparation are encouraged to consider taking the examination in their first year of full-time study. All students must take the examinations in order to be allowed to register for coursework beyond 36 points of credit; it is recommended that students attempt to take the examinations well before this deadline. Graduate Assistants are required to take the examinations during their first year of study.

For further details, consult the page on the written comprehensive exams .

The Oral Preliminary Examination

This examination is usually (but not invariably) taken after two years of full-time study. The purpose of the examination is to determine if the candidate has acquired sufficient mathematical knowledge and maturity to commence a dissertation. The phrase "mathematical knowledge" is intended to convey rather broad acquaintance with the basic facts of mathematical life, with emphasis on a good understanding of the simplest interesting examples. In particular, highly technical or abstract material is inappropriate, as is the rote reproduction of information. What the examiners look for is something a little different and less easy to quantify. It is conveyed in part by the word "maturity." This means some idea of how mathematics hangs together; the ability to think a little on one's feet; some appreciation of what is natural and important, and what is artificial. The point is that the ability to do successful research depends on more than formal learning, and it is part of the examiners' task to assess these less tangible aspects of the candidate's preparation.

The orals are comprised of a general section and a special section, each lasting one hour, and are conducted by two different panels of three faculty members. The examination takes place three times a year: fall, mid-winter and late spring. Cooperative preparation of often helpful and is encouraged. The general section consists of five topics, one of which may be chosen freely. The other four topics are determined by field of interest, but often turn out to be standard: complex variables, real variables, ordinary differential equations, and partial differential equations. Here, the level of knowledge that is expected is equivalent to that of a one or two term course of the kind Courant normally presents. A brochure containing the most common questions on the general oral examination, edited by Courant students, is available at the Department Office.

The special section is usually devoted to a single topic at a more advanced level and extent of knowledge. The precise content is negotiated with the candidate's faculty advisor. Normally, the chosen topic will have a direct bearing on the candidate's Ph.D. dissertation.

All students must take the oral examinations in order to be allowed to register for coursework beyond 60 points of credit. It is recommended that students attempt the examinations well before this deadline.

The Dissertation Defense

The oral defense is the final examination on the student's dissertation. The defense is conducted by a panel of five faculty members (including the student's advisor) and generally lasts one to two hours. The candidate presents his/her work to a mixed audience, some expert in the student's topic, some not. Often, this presentation is followed by a question-and-answer period and mutual discussion of related material and directions for future work.

Summer Internships and Employment

The Department encourages Ph.D. students at any stage of their studies, including the very early stage, to seek summer employment opportunities at various government and industry facilities. In the past few years, Courant students have taken summer internships at the National Institute of Health, Los Alamos National Laboratory, Woods Hole Oceanographic Institution, Lawrence Livermore National Laboratory and NASA, as well as Wall Street firms. Such opportunities can greatly expand students' understanding of the mathematical sciences, offer them possible areas of interest for thesis research, and enhance their career options. The Director of Graduate Studies and members of the faculty (and in particular the students' academic advisors) can assist students in finding appropriate summer employment.

Mentoring and Grievance Policy

For detailed information, consult the page on the Mentoring and Grievance Policy .

Visiting Doctoral Students

Information about spending a term at the Courant Institute's Department of Mathematics as a visiting doctoral student is available on the Visitor Programs  page.

phd in maths duration

  • Doctor of Philosophy in Mathematics (PhD)
  • Graduate School
  • Prospective Students
  • Graduate Degree Programs

Go to programs search

Mathematicians use theoretical and computational methods to solve a wide range of problems from the most abstract to the very applied. UBC's mathematics graduate students work in many branches of pure and applied mathematics. The PhD program trains students to operate as research mathematicians. The focus of the program is on substantial mathematical research leading to the PhD dissertation. Students also develop their skills in presenting and teaching mathematics and its applications.

For specific program requirements, please refer to the departmental program website

What makes the program unique?

UBC has one of the largest and most vigorous departments of mathematics in Canada. Our faculty routinely win national and international awards for their research and teaching achievements. We have an engaged and sociable cohort of graduate students who are essential members of a broad selection of active research groups. Each group holds a variety of seminars and events that allow graduate students, postdoctoral fellows, visitors and faculty to enjoy regular interaction.

UBC is the headquarters for the Pacific Institute of Mathematical Sciences (PIMS). PIMS hosts a plethora of mathematical events such as conferences and summer schools, greatly enriching the scientific environment in the quantitative sciences at UBC. Our mathematics students are also regular participants at the nearby Banff International Research Station for Mathematical Innovation and Discovery. Finally, our Institute for Applied Mathematics provides options for interdisciplinary studies for PhD students who wish to work in applied and computational mathematics.

Being affiliated with the Institute for Applied Mathematics meant I could easily collaborate with other departments and not get stuck in a box for my degree. I also wanted a program where I could develop my skills as a teacher because it is something I enjoy and is useful should I stay in academia.

phd in maths duration

Nicholas Richardson

Quick Facts

Program enquiries, admission information & requirements, 1) check eligibility, minimum academic requirements.

The Faculty of Graduate and Postdoctoral Studies establishes the minimum admission requirements common to all applicants, usually a minimum overall average in the B+ range (76% at UBC). The graduate program that you are applying to may have additional requirements. Please review the specific requirements for applicants with credentials from institutions in:

  • Canada or the United States
  • International countries other than the United States

Each program may set higher academic minimum requirements. Please review the program website carefully to understand the program requirements. Meeting the minimum requirements does not guarantee admission as it is a competitive process.

English Language Test

Applicants from a university outside Canada in which English is not the primary language of instruction must provide results of an English language proficiency examination as part of their application. Tests must have been taken within the last 24 months at the time of submission of your application.

Minimum requirements for the two most common English language proficiency tests to apply to this program are listed below:

TOEFL: Test of English as a Foreign Language - internet-based

Overall score requirement : 100

IELTS: International English Language Testing System

Overall score requirement : 7.0

Other Test Scores

Some programs require additional test scores such as the Graduate Record Examination (GRE) or the Graduate Management Test (GMAT). The requirements for this program are:

The GRE is not required.

2) Meet Deadlines

3) prepare application, transcripts.

All applicants have to submit transcripts from all past post-secondary study. Document submission requirements depend on whether your institution of study is within Canada or outside of Canada.

Letters of Reference

A minimum of three references are required for application to graduate programs at UBC. References should be requested from individuals who are prepared to provide a report on your academic ability and qualifications.

Statement of Interest

Many programs require a statement of interest , sometimes called a "statement of intent", "description of research interests" or something similar.

  • Supervision

Students in research-based programs usually require a faculty member to function as their thesis supervisor. Please follow the instructions provided by each program whether applicants should contact faculty members.

Instructions regarding thesis supervisor contact for Doctor of Philosophy in Mathematics (PhD)

Citizenship verification.

Permanent Residents of Canada must provide a clear photocopy of both sides of the Permanent Resident card.

4) Apply Online

All applicants must complete an online application form and pay the application fee to be considered for admission to UBC.

Tuition & Financial Support

FeesCanadian Citizen / Permanent Resident / Refugee / DiplomatInternational
$114.00$168.25
Tuition *
Installments per year33
Tuition $1,838.57$3,230.06
Tuition
(plus annual increase, usually 2%-5%)
$5,515.71$9,690.18
Int. Tuition Award (ITA) per year ( ) $3,200.00 (-)
Other Fees and Costs
(yearly)$1,116.60 (approx.)
Estimate your with our interactive tool in order to start developing a financial plan for your graduate studies.

Financial Support

Applicants to UBC have access to a variety of funding options, including merit-based (i.e. based on your academic performance) and need-based (i.e. based on your financial situation) opportunities.

Program Funding Packages

All full-time students who begin a UBC-Vancouver PhD Mathematics program in September 2018 or later will be provided with a funding package of at least $24,256 for each of the first four years of their PhD. The funding package may consist of any combination of internal or external awards, teaching-related work, research assistantships, and graduate academic assistantships.

Average Funding

  • 52 students received Teaching Assistantships. Average TA funding based on 52 students was $13,784.
  • 48 students received Research Assistantships. Average RA funding based on 48 students was $11,580.
  • 3 students received Academic Assistantships. Average AA funding based on 3 students was $1,814.
  • 54 students received internal awards. Average internal award funding based on 54 students was $13,279.
  • 4 students received external awards. Average external award funding based on 4 students was $27,083.

Scholarships & awards (merit-based funding)

All applicants are encouraged to review the awards listing to identify potential opportunities to fund their graduate education. The database lists merit-based scholarships and awards and allows for filtering by various criteria, such as domestic vs. international or degree level.

Graduate Research Assistantships (GRA)

Many professors are able to provide Research Assistantships (GRA) from their research grants to support full-time graduate students studying under their supervision. The duties constitute part of the student's graduate degree requirements. A Graduate Research Assistantship is considered a form of fellowship for a period of graduate study and is therefore not covered by a collective agreement. Stipends vary widely, and are dependent on the field of study and the type of research grant from which the assistantship is being funded.

Graduate Teaching Assistantships (GTA)

Graduate programs may have Teaching Assistantships available for registered full-time graduate students. Full teaching assistantships involve 12 hours work per week in preparation, lecturing, or laboratory instruction although many graduate programs offer partial TA appointments at less than 12 hours per week. Teaching assistantship rates are set by collective bargaining between the University and the Teaching Assistants' Union .

Graduate Academic Assistantships (GAA)

Academic Assistantships are employment opportunities to perform work that is relevant to the university or to an individual faculty member, but not to support the student’s graduate research and thesis. Wages are considered regular earnings and when paid monthly, include vacation pay.

Financial aid (need-based funding)

Canadian and US applicants may qualify for governmental loans to finance their studies. Please review eligibility and types of loans .

All students may be able to access private sector or bank loans.

Foreign government scholarships

Many foreign governments provide support to their citizens in pursuing education abroad. International applicants should check the various governmental resources in their home country, such as the Department of Education, for available scholarships.

Working while studying

The possibility to pursue work to supplement income may depend on the demands the program has on students. It should be carefully weighed if work leads to prolonged program durations or whether work placements can be meaningfully embedded into a program.

International students enrolled as full-time students with a valid study permit can work on campus for unlimited hours and work off-campus for no more than 20 hours a week.

A good starting point to explore student jobs is the UBC Work Learn program or a Co-Op placement .

Tax credits and RRSP withdrawals

Students with taxable income in Canada may be able to claim federal or provincial tax credits.

Canadian residents with RRSP accounts may be able to use the Lifelong Learning Plan (LLP) which allows students to withdraw amounts from their registered retirement savings plan (RRSPs) to finance full-time training or education for themselves or their partner.

Please review Filing taxes in Canada on the student services website for more information.

Cost Estimator

Applicants have access to the cost estimator to develop a financial plan that takes into account various income sources and expenses.

Career Outcomes

88 students graduated between 2005 and 2013: 1 is in a non-salaried situation; for 19 we have no data (based on research conducted between Feb-May 2016). For the remaining 68 graduates:

phd in maths duration

Sample Employers in Higher Education

Sample employers outside higher education, sample job titles outside higher education, phd career outcome survey, career options.

A great majority of our PhD graduates move on to postdoctoral fellowships and faculty positions at universities and research institutes in North America and around the world. However, a significant fraction of students move into careers in industry. Students considering non-academic careers are encouraged to complete an industrial internship (for instance through the Mitacs Accelerate program - headquartered at UBC) during their studies.

Enrolment, Duration & Other Stats

These statistics show data for the Doctor of Philosophy in Mathematics (PhD). Data are separated for each degree program combination. You may view data for other degree options in the respective program profile.

ENROLMENT DATA

 20232022202120202019
Applications155167176176114
Offers3021272922
New Registrations1211171317
Total Enrolment7268646572

Completion Rates & Times

  • Research Supervisors

Advice and insights from UBC Faculty on reaching out to supervisors

These videos contain some general advice from faculty across UBC on finding and reaching out to a supervisor. They are not program specific.

phd in maths duration

This list shows faculty members with full supervisory privileges who are affiliated with this program. It is not a comprehensive list of all potential supervisors as faculty from other programs or faculty members without full supervisory privileges can request approvals to supervise graduate students in this program.

  • Adem, Alejandro (Cohomology of finite groups, orbifolds, stringy topology, algebra, sporadic simple group, group actions, arithmetic groups, K-theory, homotopy theory, spaces of homomorphisms)
  • Alacaoglu, Ahmet (Mathematical optimization; Machine learning; Mathematical operations research; Numerical optimization; Machine Learning; Stochastic algorithms; Min-max games; Monotone operator theory)
  • Angel, Omer (Probability theory, percolation, random graphs, random walks, particle processes, scaling limits)
  • Bachmann, Sven (Mathematics and statistics; Mathematical Analysis; quantum phenomena; Mathematical physics; Quantum statistical physics; Topological states of matter)
  • Balmforth, Neil (Fluid mechanics, nonlinear dynamics and applied partial differential equations)
  • Behrend, Kai (Moduli spaces, Gromov-Witten invariants, string theory, Donaldson-Thomas invariants, Euler characteristics, categorification)
  • Bennett, Michael (Number Theory, Diophantine Approximation and Classical Analysis)
  • Bryan, Jim (Algebraic and differential geometry; Algebraic geometry, moduli spaces, enumerative invariants related to theoretical physics.)
  • Cautis, Sabin (Mathematics and statistics; Geometry)
  • Chau, Albert (Differential Geometry and Partial Differential Equations)
  • Chen, Jingyi (Algebraic and differential geometry; Differential Geometry, Partial Differential Equations)
  • Colliander, James (hamiltonian dynamical systems; partial differential equations; harmonic analysis)
  • Coombs, Daniel (Mathematical biology; Cellular immunology; Complex physical systems; Epidemiology (except nutritional and veterinary epidemiology); Cell Signaling and Infectious and Immune Diseases; Cell biophysics; Disease models; Epidemiology; Immune cell signalling; Mathematics)
  • Cytrynbaum, Eric (Bacterial cell division, Microtubule and cellular organization, Wave propagation in excitable media)
  • Dao Duc, Khanh (Genomics; Mathematical biology; Neurocognitive patterns and neural networks; Agricultural spatial analysis and modelling; combine mathematical,computational and statistical tools to study fundamental biological processes; regulation and determinants of gene expression and translation; Machine Learning for Biological Imaging and Microscopy; Database development and management; Biological and Artificial Neural Networks for geometric representation)
  • Doebeli, Michael Walter (Mathematical ecology and evolution, evolution of diversity, adaptive speciation, evolution of cooperation, game theory, experimental evolution in microorganisms)
  • Feng, James (Chemical engineering; Mathematics and statistics; Biophysics; Complex fluids; Fluid mechanics; Mathematical biology)
  • Fraser, Ailana (Differential Geometry, Geometric Analysis)
  • Friedlander, Michael (numerical optimization, numerical linear algebra, scientific computing, Scientific computing)
  • Frigaard, Ian (Fluid mechanics (visco-plastic fluids))
  • Ghioca, Dragos (Drinfeld modules, isotrivial semiabelian varieties, Lehmer inequality)
  • Gordon, Julia Yulia (Representation theory of p-adic groups and motivic integration; Trace Formula and its applications)
  • Gustafson, Stephen James (Mathematics and statistics; Mathematical Analysis; Differential Equation; Global and Non-Linear Analysis; Mathematical physics; Nonlinear partial differential equations; Nonlinear waves; Topological solitons)
  • Hauert, Christoph (Mathematics and statistics; Modelization and Simulation; Evolution and Phylogenesis; Biological Behavior; dynamical systems; evolution; game theory; social dilemmas; stochastic processes)
  • Hermon, Jonathan (probability theory; Markov chains and the cutoff phenomenon; particle systems; percolation)

Doctoral Citations

Year Citation
2024 Dr. Oliveira studied a new class of surfaces of interest to researchers in different areas of mathematics and provided many previously unknown examples. His research contributes to an understanding of the deeper relationships between seemingly separate subjects.
2024 Dr. Gheorghiu has made a contribution to algebra. One of the simplest algebraic structures are groups. Cohomology is an algebraic tool that can discern geometric objects by looking at their "holes". Then group cohomology is a tool that can discern different groups. Dr. Gheorghiu has developed a generalization of a specific form of group cohomology.
2024 Dr. Hamidi studied elliptic curves over quadratic imaginary fields. Using a new and robust technique, Dr. Hamidi proved significant results about the vanishing and bounding of certain invariants. His results could have applications in number theory, cryptography, and other areas of mathematics.
2024 Dr. Bajpai made theoretical and algorithmic contributions to the study of integer solutions to polynomial equations. He developed methods to resolve several new families of such equations, and applied these methods to prove novel results on approximations to complex numbers.
2023 Dr. Huet developed numerical tools that allow fast and accurate simulations of complex fluid systems, ranging from rockfall dynamics to cell-resolved biological flows. His open-source software contributions can be used to better design microfluidic cell-sorting devices, thus speeding up many labour intensive tasks in biotechnology research.
2023 Dr. Zhang developed the gluing method to construct the bubble tower of the ancient solutions and infinite time blow-up solutions for the critical heat equations, and finite time blow-up solutions simultaneously at any prescribed N points for the Landau-Lifshitz-Gilbert equation.
2023 Dr. Jana rigorously investigated algebraic invariants of two spaces: Classifying space for commutativity and Unordered flag manifolds. Their research explored algebraic topology, employing algebraic methods to analyze shapes. The core of the research lies in the pursuit of simplification through decomposition, marking its fundamental significance.
2023 Dr. Michta studied how phase transitions occur in finite volume for some classical models from statistical physics. This work contributes to a better and rigorous understanding of finite-size scaling theory in high dimensions. This is useful to the wide spectrum of people working at the interface between physics and mathematics.
2023 Counting sums and differences between sets is a central part of many questions in additive combinatorics. Dr. White developed a new technique combining harmonic analysis and optimization to nearly resolve a longstanding question in this field. He expects that his new method can be extended to other problems in additive combinatorics.
2023 Dr. Lawrence unified elements from reinforcement learning and control theory to solve industrially relevant problems. His framework enables learning stable control policies directly from data. This ensures that maintaining controllers in an industrial setting is efficient, safe, and automated.

Sample Thesis Submissions

  • Set-restricted isometry for sub-Gaussian matrices and inversion of deep generative models
  • On problems of regularity and existence for critical drift elliptic equations and Navier-Stokes equations
  • Symmetry-breaking bifurcations in compartmental-reaction diffusion systems with comparable diffusivities
  • The polynomial method over finite rings and fields
  • Global well-posedness and localized patterns of several reaction-diffusion systems involving advection
  • Topics in arithmetic combinatorics
  • Free boundary minimal submanifolds in geodesic balls of simply connected space forms
  • On a completion of cohomological functors generalizing Tate cohomology
  • Distribution of integral points on varieties
  • Effective and explicit S-unit equations with many terms
  • Classifying space for commutativity and unordered flag manifolds
  • Finite-size scaling of a few statistical physics models in high dimensions
  • Residual supersingular Iwasawa theory and μ-invariants for Zₚ²-extensions
  • Numerical methods for biological flows laden with deformable capsules and solid particles
  • The construction of blow-up solutions for some evolution equations

Related Programs

Same specialization.

  • Master of Science in Mathematics (MSc)

At the UBC Okanagan Campus

Further information, specialization.

Mathematicians use theoretical and computational methods to solve a wide range of problems from the most abstract to the very applied. UBC's mathematics graduate students work in many branches of pure and applied mathematics.

UBC Calendar

Program website, faculty overview, academic unit, program identifier, classification, social media channels, supervisor search.

Departments/Programs may update graduate degree program details through the Faculty & Staff portal. To update contact details for application inquiries, please use this form .

phd in maths duration

Pardis Semnani

When I was admitted to the department of mathematics by my advisor and learned about her area of research, algebraic statistics, I found it intriguing that her problems of interest build a bridge between pure and applied mathematics. That is why I decided to work under her supervision and study at...

phd in maths duration

Gabriel Currier

I quite like the kind of math that people do here, and enjoy working with my supervisors. The campus is also a beautiful place and the graduate student community is pretty laid back and friendly.

phd in maths duration

Nathan Lawrence

Many factors contributed to my choice of UBC for graduate school. I was attracted to Vancouver’s geographical similarities to Portland in the pacific northwest. Also, I have family in the area. However, most importantly, I was intrigued and inspired by my professors and advisors to take on the...

phd in maths duration

Start calling Vancouver “Home”

The metropolitan area is known for its diversity and UBC is one of the most international universities in Canada. This multicultural community means we have a wide range of restaurants, grocery stores, and events to provide a sense of belonging.

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  • Reimagining Graduate Education
  • Enriching the Student Experience

Initiatives

  • Public Scholars Initiative
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  • PhD Career Outcomes

PhD in Applied Mathematics

Phd in applied mathematics degree.

Applied Mathematics at the Harvard John A. Paulson School of Engineering is an interdisciplinary field that focuses on the creation and imaginative use of mathematical concepts to pose and solve problems over the entire gamut of the physical and biomedical sciences and engineering, and increasingly, the social sciences and humanities. The program has focuses on understanding nature through the fusion of Artificial Intelligence, Computing (classical to quantum), and Mathematics. We value foundational contributions, societal impact, and ethics in our work. Our program uniquely interfaces with diverse fields, including physics, neuroscience, materials science, economics, biology and fluid mechanics, to tackle some of the most pressing challenges of our time, such as sustainability, responsible digital transformations, and health and well-being.

Working individually and as part of teams collaborating across the University and beyond, you will partner with faculty to quantitatively describe, predict, design and control phenomena in a range of fields. Projects current and past students have worked on include collaborations with mechanical engineers to uncover some of the fundamental properties of artificial muscle fibers for soft robotics and developing new ways to simulate tens of thousands of bubbles in foamy flows for industrial applications such as food and drug production.

Our core mission is to provide students with individualized programs tailored to their interests, needs, and background. We welcome students from diverse technical backgrounds. Our program is dedicated to the principles of diversity, equity, and inclusion. We celebrate and value differences among our members, and we strive to create an equitable and inclusive environment for people of all backgrounds.

APPLY NOW >

Applied Mathematics PhD Degree

Harvard School of Engineering offers a  Doctor of Philosophy (Ph.D.) degree in Applied Mathematics conferred through the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences . Doctoral students may earn the masters degree en route to the Ph.D. Prospective students apply through Harvard Griffin GSAS; in the online application, select  “Engineering and Applied Sciences” as your program choice and select “PhD Applied Math” in the Area of Study menu.

The Applied Mathematics program does not offer an independent Masters Degree.

Applied Mathematics PhD Career Paths

Our graduates have gone on to careers such as start-up pioneers, social innovators, and a range of careers in industry in organizations like the Kingdom of Morocco, Meta, and Bloomberg. Others have secured faculty positions at Dartmouth, Imperial College in London, and UCLA. More generally, students with a PhD in Applied Mathematics can go on to careers in academia, banking, data science, bioinformatics, management consulting, government/military research, and more. Also, r ead about some of our Applied Mathematics alumni .

Admissions & Academic Requirements

Please review the  admissions requirements and other information  before applying. Our website also provides  admissions guidance ,   program-specific requirements , and a PhD program academic timeline .

Academic Background

Applicants typically have bachelor’s degrees in the natural sciences, mathematics, computer science, or engineering. 

Standardized Tests

GRE General: Not Accepted

Applied Mathematics Faculty & Research Areas

View a list of our  Applied Mathematics faculty and applied mathematics  affiliated research areas , Please note that faculty members listed as “Affiliates" or "Lecturers" cannot serve as the primary research advisor.  

Applied Mathematics Centers & Initiatives

View a list of the research centers & initiatives at SEAS and the Applied Mathematics faculty engagement with these entities .

Graduate Student Clubs

Graduate student clubs and organizations bring students together to share topics of mutual interest. These clubs often serve as an important adjunct to course work by sponsoring social events and lectures. Graduate student clubs are supported by the Harvard Kenneth C. Griffin School of Arts and Sciences. Explore the list of active clubs and organizations .

Funding and Scholarship

Learn more about financial support for PhD students.

  • How to Apply

Learn more about how to apply  or review frequently asked questions for prospective graduate students.

In Applied Mathematics

  • First-Year Exploration
  • Areas of Application
  • AM & Economics
  • How to Declare
  • Who are my Advisors?
  • Secondary Field
  • Senior Thesis
  • Research for Course Credit (AM 91R & AM 99R)
  • AB/SM Information
  • Peer Concentration Advisors (PCA) Program
  • Student Organizations
  • PhD Timeline
  • PhD Model Program (Course Guidelines)
  • Oral Qualifying Examination
  • Committee Meetings
  • Committee on Higher Degrees
  • Research Interest Comparison
  • Collaborations
  • Cross-Harvard Engagement
  • Clubs & Organizations
  • Centers & Initiatives
  • Alumni Stories
  • Graduate student stories
  • Undergraduate Student Stories

Graduate News

Harvard SEAS students Sudhan Chitgopkar, Noah Dohrmann, Stephanie Monson and Jimmy Mendez with a poster for their master's capstone projects

Master's student capstone spotlight: AI-Enabled Information Extraction for Investment Management

Extracting complicated data from long documents

Academics , AI / Machine Learning , Applied Computation , Computer Science , Industry

Harvard SEAS student Susannah Su with a poster for her master's student capstone project

Master's student capstone spotlight: AI-Assisted Frontline Negotiation

Speeding up document analysis ahead of negotiations

Academics , AI / Machine Learning , Applied Computation , Computer Science

Harvard SEAS students Samantha Nahari, Rama Edlabadkar, Vlad Ivanchuk with a poster for their computational science and engineering capstone project

Master's student capstone spotlight: A Remote Sensing Framework for Rail Incident Situational Awareness Drones

Using drones to rapidly assess disaster sites

Study Postgraduate

Phd in mathematics (2025 entry).

Mathematics of Systems lecturer at the University of Warwick.

Course code

6 October 2025

3-4 years full-time

Qualification

Mathematics Institute

University of Warwick

Sign up for updates Link opens in a new window

Virtual tour

Find out more about our Mathematics PhD at Warwick

The PhD in Mathematics offers an intellectually stimulating and dynamic research course. Study at the University of Warwick's Mathematics Institute, an international centre of research excellence, ranked 3rd for research power and 3rd for the number of 4* research outputs in REF 2021 (amongst UK universities).

Course overview

Mathematics at Warwick covers the full spectrum of mathematics and its applications. The Mathematics Postgraduate Degrees are appropriate for students with a strong and broad mathematical background who wish to engage in advanced mathematical techniques and attack mathematical research problems in their postgraduate work.

All students are required to undergo training in Year One and are encouraged to make use of further training opportunities available in subsequent years. Training ranges from gaining a broader knowledge of mathematics through taught modules, seminars and workshops, to enhancing your professional and transferrable skills. Our PhD students undertake high quality original research and are being well-prepared for a career, either in academia or elsewhere.

Teaching and learning

Students are required to complete a series of modules in their first year (from a very wide selection of bespoke modules), with assessment including an oral examination component. Upon the successful completion of these modules, students are required to complete a research project before being formally upgraded to a PhD at the end of the first year.

Training will be supplemented with attendance to seminars, cohort building activities, and additional transferable skills training.

General entry requirements

Minimum requirements.

First Class Honours undergraduate integrated Master's (4-year) degree from a UK university in Mathematics or a science degree with high mathematical content, or the equivalent qualification and grade from a non-UK university.

Alternatively, applicants who have a Bachelor's degree AND a Distinction in a postgraduate Master's degree would be considered.

English language requirements

You can find out more about our English language requirements Link opens in a new window . This course requires the following:

  • IELTS overall score of 6.5, minimum component scores not below 6.0

International qualifications

We welcome applications from students with other internationally recognised qualifications.

For more information, please visit the international entry requirements page Link opens in a new window .

Additional requirements

There are no additional entry requirements for this course.

Our research

The mathematics department covers a wide range of research areas in mathematics and its applications.

You may also wish to explore the research interest of current Warwick academics .

Find a supervisor

The 'Find A Supervisor' link below will allow you to explore the research interests of academics within the department. Please include in your application the names of potential supervisors, with interests aligned with yours, or people you would like to work with.

The mathematics department, unlike some other departments, does not require students to make any arrangements with any potential supervisors before applying, though of course you are welcome to contact them directly and discuss your interests and any potential projects they may offer.

Mathematics staff directory Link opens in a new window  

Research proposals

Warwick academics can supervise thesis research in a wide range of topics in mathematics and its applications. In addition, all PhD projects are expected to be co-supervised by an external partner, bringing knowledge, data and experience to the modelling of real-world problems.

The mathematics department covers a wide range of research areas Link opens in a new window in mathematics and its applications.

Research proposal guidance

In many cases, applicants have not settled on a specific area or project and have rather broad interests. If that is the case, this document can be used to describe your interests, your background on those areas, and what attracts you to those topics for example. This will help in assessing your application and help us determine potential supervisors and projects that you might be interested in.

Find out more about writing a research proposal.

Tuition fees

Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and registration and some student amenities.

Find your research course fees

Fee Status Guidance

We carry out an initial fee status assessment based on the information you provide in your application. Students will be classified as Home or Overseas fee status. Your fee status determines tuition fees, and what financial support and scholarships may be available. If you receive an offer, your fee status will be clearly stated alongside the tuition fee information.

Do you need your fee classification to be reviewed?

If you believe that your fee status has been classified incorrectly, you can complete a fee status assessment questionnaire. Please follow the instructions in your offer information and provide the documents needed to reassess your status.

Find out more about how universities assess fee status

Additional course costs

As well as tuition fees and living expenses, some courses may require you to cover the cost of field trips or costs associated with travel abroad.

For departmental specific costs, please see the Modules tab on the course web page for the list of core and optional core modules with hyperlinks to our  Module Catalogue  (please visit the Department’s website if the Module Catalogue hyperlinks are not provided).

Associated costs can be found on the Study tab for each module listed in the Module Catalogue (please note most of the module content applies to 2022/23 year of study). Information about module department specific costs should be considered in conjunction with the more general costs below:

  • Core text books
  • Printer credits
  • Dissertation binding
  • Robe hire for your degree ceremony

Scholarships and bursaries

Scholarships and financial support.

Find out about the different funding routes available, including; postgraduate loans, scholarships, fee awards and academic department bursaries.

Living costs

Find out more about the cost of living as a postgraduate student at the University of Warwick.

Mathematics Funding Opportunities

Find out more about the various funding opportunities that are available in our department.

Mathematics at Warwick

Our challenging Mathematics degrees will harness your strong mathematical ability and commitment, enabling you to explore your passion for mathematics.

Find out more about us on our website Link opens in a new window

Our courses

  • Mathematics (Diploma plus MSc)
  • Mathematics (MSc)
  • Mathematics (PhD)

How to apply

The application process for courses that start in September and October 2025 will open on 2 October 2024.

For research courses that start in September and October 2025 the application deadline for students who require a visa to study in the UK is 2 August 2025. This should allow sufficient time to complete the admissions process and to obtain a visa to study in the UK.

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Mathematics Education PhD

Doctor of philosophy.

The Doctor of Philosophy (Ph.D.) degree emphasizes research competencies. The degree requires a scholarly dissertation of intellectual merit and sound research methodology. Dissertation research may include analytical studies of the process of teaching or experimental studies of the teaching-learning process, including studies of verbal learning and laboratory practice or historical studies.

A student is engaged in conversation with one her peers at a study group at Teachers College.

Admissions Information

Displaying requirements for the Spring 2025, Summer 2025, and Fall 2025 terms.

  • Points/Credits: 75
  • Entry Terms: Spring, Summer, Fall
  • Enrollment Formats: Full-Time, Part-Time

Application Deadlines

Entry Term AvailablePriority DeadlinesFinal DeadlinesExtended Deadlines
SpringNovember 15, 2024November 15, 2024N/A
SummerDecember 1, 2024June 1, 2025N/A
FallDecember 1, 2024July 1, 2025N/A

Select programs remain open beyond our standard application deadlines , such as those with an extended deadline or those that are rolling (open until June or July). If your program is rolling or has an extended deadline indicated above, applications are reviewed as they are received and on a space-available basis. We recommend you complete your application as soon as possible as these programs can close earlier if full capacity has been met.

Application Requirements

 Requirement
  , including Statement of Purpose and Resume
 
 Results from an accepted (if applicable)
 $75 Application Fee
 Two (2) Letters of Recommendation

Requirements from the TC Catalog (AY 2023-2024)

Displaying catalog information for the Fall 2023, Spring 2024 and Summer 2024 terms.

View Full Catalog Listing

Doctoral Degrees

All candidates for the Ed.D., Ed.D.C.T., or Ph.D. degrees are expected to demonstrate both mathematics and mathematics education competencies through a series of certification examinations taken upon the completion of 60 graduate points. Certification examinations test the student’s knowledge of current research and theory in mathematics education and mathematics content. Examinations are offered once in the fall, spring, and summer terms. Courses recommended as preparation for the examinations in mathematics education include MSTM 6037,  MSTM 4019, and other mathematics education courses; Courses recommended as preparation for the examinations in mathematics are 6000- level mathematics content courses.

Students must demonstrate acceptable proficiency in at least three of the following six mathematics content areas: algebra, analysis, discrete mathematics, foundations of mathematics, geometry and topology, and probability and statistics. Students may sit for the examination in mathematics content during the regular certification examination times. Alternatively, they may register for advanced content courses and, with permission of the program, sit for the content area certification examination upon completion of the course. Incoming doctoral candidates should register for MSTM 6037 Professional Seminar in Mathematics during the first year of doctoral studies.

Doctoral students whose dissertations require statistical analysis should include appropriate statistics courses in their programs. These points can be included either in the mathematics/mathematics education requirement or can be taken as research electives.

Doctor of Philosophy in Mathematics Education

The Doctor of Philosophy (Ph.D.) degree emphasizes research competencies. The degree program requires a scholarly dissertation of intellectual merit and sound research methodology. Dissertation research may include analytical studies of the process of teaching or experimental studies of the teaching-learning process, including studies of verbal learning and laboratory practice or historical studies.

Candidates are encouraged to develop an association with a faculty member early in their studies to identify a problem area of mutual interest to plan a course of studies that leads to the competencies needed to complete dissertation research and prepare for a professional role. Further details are available in the brochures on doctoral studies and in the general descriptions of doctoral programs available from the Office of Doctoral Studies (ODS).

A program of study for the Doctor of Philosophy degree must include at least 45 points taken under Teachers College registration. In order to permit the acquisition of broad and basic scholarship, each program of study should include at least 60 points in mathematics, mathematics education, statistics, and computing. At least 35 points should be in advanced courses – including research courses (MSTM 6500 or 6501 and MSTM 7500). (Any Teachers College course at the 6000 level or above, any Columbia University Graduate School of Arts and Sciences course with a “G” prefix, any “W” course numbered above 4000, or any transferred course with a graduate-level prerequisite will be considered an advanced course.) Further, 15 points in the philosophical, psychological, and curricular foundations of education must be included in every Ph.D. degree program. Students whose dissertations require statistical analysis should include appropriate statistics courses in their programs. These points can be included either in the mathematics/mathematics education requirement or can be taken as research electives.

Candidates for the Ph.D. degree are required to demonstrate competency in two languages chosen from among French, German, and Russian. Students who require other languages for the preparation of their dissertation may petition the program to request one substitution. Students in mathematics may not use computer languages or statistics to satisfy the language requirement.

The Ph.D. dissertation is a scholarly study contributing new theoretical knowledge to the field and should be planned early in the program when sufficient advanced courses have been completed to permit the candidate to enroll in relevant research courses. Ph.D. dissertations in mathematics education should be (1) experimental studies in learning, (2) analytical studies in policy theory in mathematics education, or (3) other scholarly investigations of problems and issues of broad significance in the field.

The website of the Program offers a list of Topic study groups which doctoral students are recommended to join.

  • View Other Degrees

Program Director : Professor Alexander Karp

Teachers College, Columbia University 323 Thompson

Phone: (212) 678-3381 Fax: (212) 678-8319

Email: tcmath@tc.edu

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Ph.D. Mathematics Course, Eligibility, Entrance Exams, Syllabus, Colleges, Jobs and Scope 2024

phd in maths duration

Satyam Purwar

Content Curator

Ph.D. (Mathematics) - Latest Notifications

  • 09 September, 2024 : NEET PG 2024 Counselling Schedule Released, Check Dates Here
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Ph.D. Mathematics is a Doctorate of Mathematics course . It is the study of structure, space, quantity, and change. It seeks out patterns and formulates new conjectures. On the completion of a doctorate, scholars should submit their ‘thesis’ and, then they deserve the respective degree they are pursuing. 

The duration of the program is a minimum of 3 years and a maximum of 5-6 years . The minimum qualifications and other eligibility criteria for admission are M.Sc. Degree in Mathematical or Physical Sciences/ B. Tech Candidates from any discipline can also apply/ Some Institutes also offer direct admission for Graduate students with excellent academic performance. Ph.D. Mathematics is a broad-based course involving a minimum course credit requirement and a research thesis.

After completion of this course, graduates may work in fields like Banks, Investment Firms, Commerce Industry, Business Industry, Colleges, Universities, Research and Development Firms, Indian Civil Services, Inventory Management, Insurance Agencies, Statistics, etc. These professionals may work in positions like Mathematician, Statistician, Loan Officer, Accountant, Economist, Demographer, etc. The average salary for these professionals ranges between INR 3 to 9 Lakhs as per their experience and expertise in this field.


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Ph.D. Mathematics: Course Highlights

Course Level Doctorate Course
Full-Form Doctor of Philosophy in Mathematics
Duration 3 years
Examination Type Semester-based
Eligibility M.Sc. Degree in Mathematical or Physical Sciences/ B. Tech Candidates from any discipline with a minimum of 55% score
Admission process Merit-based / Entrance Examination
Course Fee INR 20,000 – 3 Lakhs per annum
Average Salary INR 3 – 9 Lakhs per annum
Top Recruiting Companies Banks, Investment Firms, Commerce Industry, Business Industry, Colleges, Universities, Research and Development Firms, Indian Civil Services, Inventory Management, Insurance Agencies, Statistics (e.g. Ernst & Young, Tiger Analytics, TCS Innovation Lab, Weizmann Institute, etc.)
Job Positions Mathematician, Statistician, Loan Officer, Accountant, Economist, Researcher, Personal Banker, Cryptographer, Demographer, Professor, etc.

Ph.D. Mathematics: What is it about?

Ph.D. Mathematics is the program of choice for students who wish to pursue a career in a mathematical research field.

  • The minimum duration of this course is 2-years , whereas you can complete this course in a maximum time span of 3-5 years .
  • Ph.D. Mathematics is a full-time doctoral degree.
  • In Ph.D. Mathematics, students study statistical concepts relating to inspection, engineering design, and quality assurance.
  • Ph.D. in Mathematics course involves research that uses various methods of mathematical types associated with the graph theory, asymptotic analysis, scientific computation, bifurcation theory, probability and statistics, ordinary and partial differential equations, stability theory, singular perturbations, and stochastic processes.
  • In this course, major topics studied by the students are correlation, normality, probability, sampling, regression, and confidence intervals in reliability. This course is designed to enrich the applications like algebra and trigonometry, systems of linear equations, algebraic fractions, literal equations, quadratic equations, right triangles, vectors, word problems, and their solutions.

Why study the Ph.D. Mathematics course?

Candidates who are inclined towards a research career, many positions are available in research institutions and universities for them. And who wish to pursue a teaching career, well-paying teaching positions are available in plenty in private engineering colleges. Many research labs of multinational companies, financial services companies, and others are massively recruiting Indian mathematicians.

Some of the popular reasons why Ph.D. Mathematics must be pursued is as follows:

  • This program prepares someone to keep momentum with the expanding frontiers of knowledge and provides research training relevant to the present social and economic objectives of the country.
  • It comprehends to write a good research report and acquires the skill of presenting data in graphical form.
  • They can also go for accountancy and business services , banking, investment and insurance, government, and public administration.
  • They can become teachers and lecturers in schools and colleges/universities respectively; for becoming a lecturer in colleges they should pass the NET exam and the UGC guidelines.

Ph.D. Mathematics: Admission Process

Most colleges and institutes offering Ph.D. Mathematics courses admit students based on the graduate degree level examination marks. Some institutes, however, do conduct entrance examinations to judge a candidate’s capability.

PHD Mathematics Admission Process

The following are the two major pathways through which Ph.D. Mathematics admissions takes place:

Merit-Based Admission:

Most private universities such as Lovely Professional, AMU, and others that offer Ph.D. (Mathematics) courses usually admit students based on the marks secured at the master’s/ graduate degree. Apart from this, these colleges may conduct a Personal Interview or a small Written Test to further know the candidate and his/her skills.

Entrance Exam Based:

Top Ph.D. Colleges like Chandigarh University, RKMVCC, Stella Maris College, etc. offer admission in the Ph.D. (Mathematics) program through entrance examinations that usually consist of MCQ based questions related to Algebra, Analysis, Discrete Mathematics, etc. helping the college to screen the deserving candidates for admission.

After the result declaration of these Entrance Exams, colleges may further conduct a Personal Interview Round of the qualified candidates to know their interest in the course, skills, and career and might go through their Art Portfolio as well.

Ph.D. Mathematics: Eligibility

The common Ph.D. (Mathematics) eligibility criteria to be successfully admitted into a college offering this course is as follows:

  • M.Sc./ Master’s Degree in Mathematical or Physical Sciences
  • B. Tech Candidates from any discipline can also apply, it may vary by Institutes.
  • Some Institutes also offer direct admission for Graduate Students with excellent academics records.
  • Each college also further has a set minimum aggregate marks. Overall, it should be 55% (50% for SC / ST).

The above-stated eligibility criteria are the basic eligibility criteria. Each college will have its criterion on which prospective candidates are judged.

Ph.D. Mathematics: Entrance Exams

Some colleges that offer Ph.D. (Mathematics) programs require their candidates to sit for an entrance examination. This paper carries a total of 100 marks where candidates need to conclude writing the exam within a period of 3 hours.

Listed below are some of the popular Ph.D. Mathematics entrance exams.

  • CSIR-UGC NET for JRF Entrance Exam: CSIR UGC NET is a national-level exam conducted by the National Testing Agency (NTA) on behalf of Council of Scientific and Industrial Research (CSIR) to shortlist candidates for the award of Junior Research Fellowship (JRF) or lectureship in Indian universities and colleges.
  • UGC NET Entrance Exam: The UGC NET for JRF, also known as National Eligibility Test (NET) or NTA-UGC-NET, is the test for determining the eligibility for the post of Junior Research Fellowship (JRF) or Asst. Professor award in Indian universities and colleges.
  • NBHM Entrance Exam: National Board for Higher Mathematics is a board in India that conducts a national entrance exam intended to foster the development of higher mathematics, help in the establishment and development of mathematics centers, and give financial assistance to research projects and to doctoral and postdoctoral scholars.

There are few private colleges like Chandigarh University , LPU , etc. conducts their own entrance tests for this course.

How to Prepare for a Ph.D. Mathematics Entrance Exams?

The syllabus for Ph.D. Mathematics entrance exams will vary from institute to institute. However, most exams concentrate on mathematics-related subject knowledge and skills.

The paper shall have two different parts,

  • Part I - Here 10 questions will be given. Out of these, 6 will have to be answered. This part will carry 40 marks.
  • Part II - Here also 10 questions will be given, out of this 6 ought to be answered. This part will carry 60 marks.

The following sections are generally covered in Ph.D. Mathematics entrance exams syllabus:

  • Abstract Algebra
  • Complex Analysis
  • Elements of Numerical Analysis
  • Linear Algebra
  • Ordinary Differential Equations
  • Partial Differential Equations
  • Real Analysis

Students should consider buying study material and practice material of Ph.D. Mathematics entrance exams so that they prepare well for the same. This paper carries a total of 100 marks where candidates will need to conclude writing the exam within a period of 3 hours.

How to get admission in a good Ph.D. Mathematics college?

To get admission in top Ph.D. Mathematics colleges, the following points must be kept in mind:

  • The application process for most of the institutes starts in January every year and the classes begin in August.
  • The Colleges shortlist candidates through respective entrance exams followed by an interview.
  • The best way is to appear for CSIR-NET and UGC-NET exams to get a good college for Ph.D. and for some of the colleges’ GATE is also used as a prerequisite.
  • For example, ISI Kolkata uses the GATE score for admission in its Ph.D. Mathematics program. Some institutes also take admission through the NBHM Screening test conducted for Ph.D. Scholarships.

Ph.D. Mathematics: Syllabus

Although the Ph.D. Mathematics course curriculum varies from college to college, it mostly consists of some common foundation courses that students can select based on his/her interests.

The table below shows common subjects that are included in the structured Ph.D. Mathematics syllabus and subjects included in it:

1 Year 2 Year 3 Year
Algebra Differential Equation Mathematical Finance
Analysis Differential Geometry Mechanics
Calculus Discrete Mathematics Metric Space
Computational Techniques English Literature Number Theory
Computer Science Linear Programming Probability Theory

Ph.D. Mathematics: Books

Tabulated below are some of the Ph.D. Mathematics subject books that can help students to have a broader and better understanding of the course. The books mentioned below will also help the students in cracking various Ph.D. Mathematics exams.

Name of the Book Author
Calculus for Scientists and Engineers K.D. Joshi
Foundations of Discrete Mathematics K.D. Joshi
Introduction to Measure and Integration Inder K Rana
Fundamental Complex Analysis of One variable Anant R Shastri
Ordinary Differential Equations Mohan C Joshi

Ph.D. Mathematics: Top Colleges

The table below shows the best Ph.D. Mathematics colleges and universities that offer the course in a full-time mode.

College Name City Average Annual Fees
Bangalore INR 75,600
Varanasi INR 22,268
Coimbatore INR 27,855
Kolkata INR 21,000
Chennai INR 5,805
Coimbatore INR 60,000
Noida INR 3 Lakhs
Chennai INR 6,000
Ranchi INR 1.75 Lakhs
Shimoga INR 1.62 Lakhs

View More   Top Ph.D. Mathematics Colleges

College Comparison

The tabulation below shows the comparison made among the three top Ph.D. Mathematics colleges in India.

Parameter Banaras Hindu University Ramakrishna Mission Vivekananda College Aligarh Muslim University
Overview Banaras Hindu University, a public university from Varanasi is one of the oldest universities in the country. It is one of the best colleges to pursue a Ph.D. program RKMVCC College started functioning in 1963 with a view of remembering the first birth centenary of Swami Vivekananda. It offers UG, PG & PH.D. research programs in the field of science. Established in 1875, the Aligarh Muslim University has students from around the world. Its Ph.D. program is highly ranked.
Average Fees INR 22,268 INR 21,000 INR 27,855
Average Placement Offered INR 4 Lakhs INR 5 Lakhs INR 4.5 Lakhs
Courses Offered Ph.D., B.Tech, MBBS, BBA, MBA, M.Tech, PG Program, MA, and BA (Hons) B.Com, BBA, BCA, BSc, BA, M.Phil, MSc, Ph.D., and MSW. Ph.D., B.Tech, MBBS, BBA, MBA, M.Tech, PG Program, MA, and BA (Hons)
Top Companies Visited Infosys, Coal India, ICICI Bank, IDBI Bank, Pantaloon, Visa Steel, FINO, Ansal API, etc. Tata Consultancy Services, ACC Limited, etc. IBM, TCS, ICICI Bank, ONGC, L&T, Kotak Securities, Genpact, etc.

PHD Mathematics Colleges Comparison

Source: Official Websites of Colleges and Universities

Course Comparison

Ph.D. Mathematics Vs Ph.D. Economics

Both Ph.D. Mathematics and Ph.D. Economics have a bright future in the field of research with several aspects. There are many colleges in India who prefer both of the courses in their academic structure. Check the table below for more comparative details:

Parameters Ph.D. Mathematics Ph.D. Economics
Full-Form Doctor of Philosophy in Mathematics Doctor of Philosophy in Economics
Duration 3 years 3 years
Eligibility M.Sc. Degree in Mathematical or Physical Sciences/ B. Tech Candidates from any discipline with a minimum of 55% Post-graduation in Economics
Exam Type Semester-based Semester-based
Job Profiles Mathematician, Statistician, Loan Officer, Accountant, Economist, Researcher, Personal Banker, Cryptographer, Demographer, Professor, etc. Accounting, Auditor, Banking and Finance, Insurance Investment, Marketing, Stock Broker, Media Analyst, Management, Manufacturing, Advertising, Communication, etc.
Average Fees INR 20,000-3 Lakhs INR 80,000 -6 Lakhs
Average Salary INR 3 – 9 Lakhs per annum INR 2 – 8 Lakhs per annum

PHD Mathematics Vs PHD Economics

Source: Official Surveys

The eligibility and admission criteria for both these degrees are the same. In terms of Career and Salary, both Ph.D. Mathematics and Ph.D. Economics almost have the same career prospects and job opportunities, and individuals can earn an average salary of around INR 2-9 Lakhs per annum or more in some cases depending upon candidate's skills, knowledge, and experience.

Ph.D. Mathematics: Job Prospects and Career Options

In India, Ph.D. Mathematics is one of the top career choices made by students. There are lots of job opportunities available in India as well as in foreign countries for Mathematical graduates.

  • Ph.D. graduates may work in a wide range of mathematical areas like Numerical Analysis, Computational Complex Analysis Group, Biomathematics Group, Complexity and Networks, Dynamical Systems, Fluid Dynamics, Mathematical Physics, etc.
  • Graduates who have the ability to handle customers and basic knowledge about the industry may also work in both private and government banks.
  • They can also seek employment in various sectors such as in markets research, public accounting firms, government and private banks, government and private financial sectors, budget planning, consultancies, and corporations.
  • Top companies that offer jobs for these professionals are Aquis, Airtel, ITC Infotech, IBM Global Services, ABC Consultants, NEXT Techno Enterprises, Brainfuse, etc.

The table below shows some of the most common Ph.D. Mathematics job profiles and career prospects after completing the course is as follows:

Job profile Job Description Average Annual Salary
Cashier Cashiers are responsible for selecting the right product, and also consider becoming a retail sales worker. They may also set up store displays and perform cashier duties. The training is generally offered by the employer. INR 3 Lakhs
Insurance Manager Insurance Managers are responsible for researching which helps them forecast how likely it is for certain risk events to occur and how these events will impact their company with a potential loss. INR 6 Lakhs
Finance Manager Finance Managers are responsible for monitoring accounts, reviewing financial reports, maintaining reports, and preparing activity reports and financial forecasts. They also examine the ways to raise profitability and analyze markets for business opportunities. INR 8 Lakhs
Accountant These professionals are responsible for performing administrative duties such as the production of forms, and maintaining schedules. They prepare financial statements and tax returns, and accounting firms represent clients on matters pertaining to their financial affairs. INR 3.5 Lakhs
Loan Counselor Loan counselors are responsible for working with a financial institution, they process a client's application materials, verify the information, and work with the client to come up with a financial plan. INR 4 Lakhs
Professor/ Asst. Professor They are much needed to provide basic education to the students who are interested to study art at doctoral level programs. INR 5 Lakhs

PHD Mathematics Job Prospects

Source: Payscale

Ph.D. Mathematics: Future Scope

Students having a Ph.D. mathematics degree are importantly serving the education industry and due to the laws of UGC one position of Head of Department is always secured for Ph.D. holders only.

  • Employment of mathematicians in India is expected to grow by 23% as the surging demand for knowledge and expertise in private sector analytics firms.
  • The private sector offers better pay and opportunities. The package can also increase if they add advanced computing skills and statistical tools in their profile.

Ph.D. Mathematics: FAQs

Ques. What are the top colleges for Ph.D. Mathematics?

Ans. The top institutes and colleges for Ph.D. Mathematics are Banaras Hindu University, Aligarh Muslim University, Amity University Noida, Birla Institute of Technology Ranchi, Queen Mary’s College, among others.

Ques. What are the subjects in Ph.D. Mathematics?

Ans. Some of the subjects taught in Ph.D. Mathematics are Algebra, Calculus, Discrete Mathematics, Differential Equations, Computational Techniques, Differential Geometry, etc.

Ques. Which job profiles are available for a Ph.D. Mathematics?

Ans. Students of Ph.D. Mathematics can work as Mathematician, Loan Officer, Accountant, Economist, Researcher, Personal Banker, Demographer, Professor, etc.

Ques. What is the annual average tuition fee charged for a Ph.D. Mathematics program?

Ans. The annual average tuition fee at the top Ph.D. Mathematics colleges is between INR 2K to INR 3 Lakh.

Ques. What is the scope of the Ph.D. Mathematics course?

Ans. Students can choose for both private and public sector jobs in several sectors like the professor, loan counselor, Insurance Manager, etc.

Ques. What is the average salary in Ph.D. Mathematics?

Ans. The salary ranges from INR 3-9 Lakhs per annum as per the job profile.

Ques. What are the job positions in the Ph.D. Mathematics field?

Ans. Job positions like Mathematician, Statistician, Loan Officer, Accountant, Economist, Researcher, Personal Banker, Cryptographer, Demographer, Professor, etc. are available in the Ph.D. Mathematics field.

Most Popular Tags

12 Reviews found

research in MANIT

Campus life.

You can avail free internet, computer labs, library, e-library (all reputeted Journals like scopus, sci, scie, ugc, ieee etc) and most important support of yor guide. anuual function, conferences, workshop, tranning session which will help you for exploring the research and enhance your knowldge. also time to time sports activities, social activities are held and you can take part accordinly.

Loan/ Scholarship Provisions

@ the time of my admission tution fees is 26000 per year in two installment and 20000 thesis submission fees and no other fees included. If you are GATE/ NET qualified then eligible for stipends (25000/ month) which is a good amount. Otherwise no stipends for scholars. other stationary amount yo have to bear. after completion of PhD you can apply for projects and earn monthly.

Life of campus is good.It has students from various regions of India and also from countries like Africa ,Niziria etc. Most of students of the CUP are from Kerala and South .It has a good library wher you can stay upto midnight.

If you have any external funding then you can easily avail that fellowship.But if you don't have any fellowship then university provide a fellowship of 8000 per month to scholors which doesn't have any external funding.

Home of the traditional- SRC

Course curriculum overview.

Actually I like mathematics from my childhood itself. That's why I chose Mathematics in UG. And also I like teaching profession. So I would like to complete PhD. My guide help me lot for my research. And also other faculties of my department are also so supportive and motivating for my research.

Placement Experience

Usually at the final semester students get the opportunities for the placement. Lot of schools and companies around Trichy came here for the interview. Capgemini, SRV higher secondary school from samayapuram and AKT school from kallakurichi are the most visited schools for our campus.

Campus Life at NIT Rourkela

NIT Rourkela has nice research environment and many professsor are collaborating with some foreign unoversity professsor. The infrastructure and campus are the main attraction to many students and PhD scholars. NIT Rourkela has also actively working placement Cell. 3 students got 45 lakh package and 9 students got 43 lakh package during this pandemic year. The statistic for placement shows that its placement percentage is going to increase in upcoming days.

I have joined in this course because I want to do research in Optimization.Faculties are highly motivated towards research. Most of the Faculties have done their PhD in Top IITs and Teaching standard is upto the mark. There are two term. One is mid semi and another is End term. We have to solve the assignment regularly to perform well in the exam and exam paper are mostly moderate to difficult level.

The revolutionary mathematics research institute

Though I was doing my Master's in mathematics I had to focus more on the TIFR GS entrance exam to pursue my Ph.D. in Mathematics. Not only that, after I qualified the exam with good ranking, but only 1.5 % of top merit list students were being considered! It was such a critical situation, yet eventually, I was noticed and called for the interview that went quite well.

TIFR is financed by the Department of Atomic Energy of Government of India. A minimal (or no) fee is charged for the course, in fact, an effective amount as accommodation is given to the students depending on the course they choose.

HARJOT KAUR

Pursuing PhD mathematics

I want to take a doctoral degree in mathematics because I always have a huge interest in mathematics so that's the reason I opt that course. Chandigarh university provided a huge area of research so that reason i choose Chandigarh university. Firstly fill the registration forms for the entrance test then give entrance test.

College Events

Chandigarh university celebrates every festival of all religions and they organize various events eveRy month like DJ night, tech events, fresher party, farewell parties also hostels night. Bollywood and Hollywood celebrities are visiting the campus for promotion of their movies.

IIT Patna PhD in mathematics

After doing PhD we can apply for assistant professor. IIT Patna provide stipend and fellowship by mhrd, csir, ugc, dst, nbhm, pmrf e. t. c. I am a CSIR fellow whuch give fellowship very late but IIT Patna provide some help if we needed money which you can return after getting money.

PhD is higer degree and needed for to be a professor. We have to do 5 courses from elective including English literature. After that we have labs for research and computational work. We are free to choose our course paper so it reduces our complications for unwanted subjects.

My college experience

An annual book/contingency grant of Rs. 32,000 and support for research-related domestic and international travel is available to students. Junior Research Fellowships are awarded to all selected PhD students. These fellowships include a monthly stipend ranging from Rs. 25,000/- to Rs. 28,000/-, hostel accommodation (or a house rent allowance) and medical benefits.

They are various extra-cirricular activities provided by the college. They are various grounds provided for badminton, soccer and cricket. They are coaches too if you want to learn a sport and they are various events conducted. They are also labs provides for yoir research and they are well equipped.

Phd admission to Math dept

All students of the elite Indian Institutes of Technology, patna whose annual family income is less than ? 9 lakh will be eligible for interest-free education loans for a period of of five years.if you are admitted though external fellowship you give rs 31000 per month for initial three months which can be returned after start external fellowship. And if you admitted through gate you will get 31000 per month which credited first week of the month.

Research Scholars' Day (popularly known as RSD) is an annual event celebrated by the research scholars of IIT Patna. In this programme, the students are present there research paper and many of famous scientists are invited in this program.

Tushar Bag

My Doctoral College

'Anwesha', is IIT Patna’s annual 3-day techno-cultural festival organised by the student community. Indian Institute of technology Patna each year celebrates its Technical Fest, christened as ''CELESTA'. This is a great beginning, which strives to inculcate interest in young minds to pursue technology and make it their passion. It was started in 2008 and since then it has gained unmatched popularity. It is a cultural celebration held around 'Diwali'. Beautiful decoration through lights added with fantastic cultural performances makes IIT Patna really reverberate with joy during the ‘Reverberance’. The Students' Gymkhana Building, situated in the IIT Patna hostel compound, has a synthetic badminton court and a gymnasium. In addition, the students have access to a basketball court, a volleyball court, table tennis tables and a football-cum-cricket ground within the transit campus. State-of-the-art facilities for all sports are planned at IIT Patna’s main campus in Bihita. We have good gender ration in campus. There is no such problems.

All students of the Indian Institutes of Technology Patna (IITP) whose annual family income is less than Rs.9 lakh will be eligible for interest-free education loans for a period of five years, the human resource development ministry said on Thursday. Earlier, the interest subvention scheme was for students whose annual family income was Rs.4.5 lakh.

Anand Kumar

Wastage of time and life

Worst among all the IITs, characterless, rude, unethical, all the works to be performed by teaching assistants which are research scholars. Institute lacks faculty and research scholars have to perform all the academic tasks of guide as well as teaching supervisor.

Need to fulfill the required CGPI in a year and then a comprehensive examination will be held. After successful completion of comprehensive exam including written test and presentation of the work done in past, finally registered as a Ph D. student.

Srikumar Panda

Jadavpur University is the great

Fee structure and facilities.

The fee structure is very low in this university so that any poor student can effort their expenses. In addition, there are few scholarships available in this university like Merit cum means fellowship.

Internships Opportunities

Engineering faculty of this university offers various internship in India as well as abroad also. During the internship, some stipend was offered by the various companies/institute.

Ph.D. (Chemistry)

Ph.d. (physics), ph.d. (biotechnology), ph.d. (zoology), ph.d. (botany), ph.d. (english), master of science [ms], master of science [m.sc] (biotechnology), ph.d. (mathematics) colleges in india.

IIT Madras - Indian Institute of Technology - [IITM]

IIT Madras - Indian Institute of Technology - [IITM]

IIT Delhi - Indian Institute of Technology [IITD]

IIT Delhi - Indian Institute of Technology [IITD]

IIT Bombay - Indian Institute of Technology - [IITB]

IIT Bombay - Indian Institute of Technology - [IITB]

IIT Kharagpur - Indian Institute of Technology - [IITKGP]

IIT Kharagpur - Indian Institute of Technology - [IITKGP]

IIT Kanpur - Indian Institute of Technology - [IITK]

IIT Kanpur - Indian Institute of Technology - [IITK]

IIT Roorkee - Indian Institute of Technology - [IITR]

IIT Roorkee - Indian Institute of Technology - [IITR]

BITS Pilani (Pilani Campus)

BITS Pilani (Pilani Campus)

IIT Guwahati - Indian Institute of Technology - [IITG]

IIT Guwahati - Indian Institute of Technology - [IITG]

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Mathematics Education, PHD

On this page:, at a glance: program details.

  • Location: Tempe campus
  • Second Language Requirement: No

Program Description

Degree Awarded: PHD Mathematics Education

This transdisciplinary PhD program in mathematics education accommodates students from a variety of academic backgrounds. It provides students with a solid foundation in graduate-level mathematics as well as research skills and perspectives that enable them to incorporate mathematics into such core educational areas as:

Conducting individual and collaborative research in the learning and teaching of mathematics is an integral part of the program.

Degree Requirements

Curriculum plan options.

  • 84 credit hours, a written comprehensive exam, an oral comprehensive exam, a prospectus and a dissertation

Required Core (12 credit hours) MTE 501 Research in Undergraduate Mathematics Education I (3) MTE 502 Research in Undergraduate Mathematics Education II (3) MTE 503 Research in Undergraduate Mathematics Education Ill (3) MTE 504 Research in Undergraduate Mathematics Education IV (3)

Electives (42 credit hours)

Area Courses (12 credit hours)

Research (6 credit hours) MTE 792 Research (6)

Culminating Experience (12 credit hours) MTE 799 Dissertation (12)

Additional Curriculum Information Four to five graduate-level (500 and above) elective courses from mathematics, cognitive science, psychology, educational technology, philosophy or research should be taken as approved by the advisor.

For the area courses, students are required to take four graduate-level courses from the following areas of interest: mathematics, applied mathematics or statistics. Students should see the academic unit for the approved course list.

Students should see the school's website for information about qualifier and comprehensive examinations based on math coursework.

The doctoral dissertation culminating experience consists of a dissertation prospectus, oral dissertation defense and the submission of a final revised, formatted dissertation document to the Graduate College. Dissertations are composed under chair- and committee-supervised research, including literature review, research, data collection and analysis, and writing.

When approved by the student's supervisory committee and the Graduate College, up to 30 credit hours from a previously awarded master's degree may be used for this program. If students do not have a previously awarded master's degree, the remaining coursework is made up of electives and research.

Admission Requirements

Applicants must fulfill the requirements of both the Graduate College and The College of Liberal Arts and Sciences.

Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in mathematics or a closely related area, with exceptionally high grades in advanced coursework in mathematics, from a regionally accredited institution.

Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.

All applicants must submit:

  • graduate admission application and application fee
  • official transcripts
  • statement of education and career goals
  • writing sample
  • three letters of recommendation
  • proof of English proficiency

Additional Application Information An applicant whose native language is not English must provide proof of English proficiency regardless of their current residency.

At least two of the letters of recommendation must be from faculty.

Next Steps to attend ASU

Learn about our programs, apply to a program, visit our campus, application deadlines, learning outcomes.

  • Able to complete original research in applied mathematics.
  • Able to incorporate mathematical concepts into novel teaching methods.
  • Address an original research question in mathematics education.

Career Opportunities

Graduates of the doctoral program in mathematics education have opportunities in Arizona, the U.S. and internationally. Opportunities are typically at research universities and liberal arts colleges, community colleges, and education consulting firms and in roles such as:

  • faculty-track academic
  • education consultant or analyst
  • mathematics professor, instructor or researcher

Program Contact Information

If you have questions related to admission, please click here to request information and an admission specialist will reach out to you directly. For questions regarding faculty or courses, please use the contact information below.

Graduate Degree in Statistics

Overview of the statistics graduate program.

The Department of Mathematics and Statistics offers graduate degrees in statistics at the MS and PhD levels. Note that until 2023, these degrees were granted as concentrations of the corresponding math degrees.  This page summarizes the main features of the Statistics degrees, and contains the most up-to-date information. The information on this page supersedes the information in the Axioms (Handbook), which are in the process of being updated.

The MS degree provides students with training in statistical applications, statistical computing and theory, preparing them for statistics and data science careers in industry, government, educational organizations, consulting firms, health care and research organizations, or for moving on to a PhD in Statistics or Biostatistics. The PhD provides a combination of theory and application preparing students for positions in academia, industry or government. The Certificate in Statistical and Computational Data Science is a joint program with Statistics and Computer Science. Each of these programs is described in more detail below.

MS Degree in Statistics

The MS program in Statistics is designed to prepare students for statistics and data science positions in industry, government, educational organizations, consulting firms, health care and research organizations. It also serves as a basis for future work towards a PhD in Statistics or Biostatistics. This program is designed to provide the student with a background in basic theory along with experience in various applications, including computational aspects. As part of their training, students will receive comprehensive exposure to popular statistical software packages. In addition to courses offered within the department, the program allows room for the students to take statistics courses in other departments on campus.

Prerequisites:  Students entering the MS program are expected to have had Linear Algebra and Calculus up through Multivariate Calculus (this is typically covered by a three-semester sequence in U.S. schools).

The requirements for the MS degree in Statistics involve coursework, a project and consulting or qualifying exams.

The student must complete 30 hours of coursework with grades of C or better, including at least 24 hours with grades of B or better (pass or fail grades cannot be used to satisfy this requirement). In addition, the student must have at least an overall B average.

The required 30 hours must include:

  • Stat 625: Regression Modeling
  • Stat 607-608: Probability and Mathematical Statistics I, II
  • Stat 535: Statistical Computing
  • At least five other courses which are either Statistics courses numbered 526 or above, from within the department, or some courses outside the department numbered 500 and above subject to prior approval by the Statistics coordinator (pre-approved list below).

Consulting or Basic Exam

Students completing the MS program in Statistics are required to either complete at least one credit of statistical consulting (typically STAT 598C) or pass two of three basic exams we offer: applied statistics, probability, and statistics, which are based on ST625 and ST535, ST607, and ST608, respectively. The Basic Exam is given twice a year, in January and in August.

The project is completed under the guidance of a faculty member. This project must have prior approval of the Statistics coordinator and involves 3 credit hours which may be used to satisfy the 30 hour coursework requirement. The project can take many forms; an expository report on a particular area, an examination of methods through simulations or a detailed statistical analysis of real data. A final report is required. This requirement is typically satisfied by the successful completion of the project seminar course Stat 691P.

Accelerated (4+1) M.S. in Statistics

This section explains how a UMass Amherst or Five College student can complete the M.S. degree in statistics in a fifth year.

Preparing and Applying for the Accelerated (4+1) M.S. in Statistics

In order to enter the Accelerated M.S. in Statistics program, students need to do the following.

  • a maximum of 6 credits can be counted toward both the MS in Statistics and the baccalaureate degree ("double-counted")**, and
  • an additional 6 credits completed as an undergraduate student may be applied to the M.S. degree if completed "over and above" the requirements for the Baccalaureate degree, meaning the course(s) cannot be used to satisfy any undergraduate degree requirements.
  • Apply in their senior years to the Accelerated M.S. program in Statistics program by following instructions  here . The priority deadline to apply is January 10 for fall admission.

Important notes regarding preparing for the 4+1 in Statistics:

1. Taking fewer than 12 transferable credits is permitted to pursue the Accelerated M.S. in Statistics, but taking the full 12 makes for the smoothest path to completing the M.S. in 1 year. Students who enter the accelerated program with less than 12 credits may need additional semester(s) to complete their M.S. degree.

2. **Per the University's multiple credentials policy, a course can only be counted towards two credentials. If a course is already double-counted towards two undergraduate majors, or a major and a minor, it is not eligible to be used as a double-counted course for the M.S. in Statistics. 

3. Any graduate-level coursework completed by a 4+1 applicant that is not Stat 535, 607, 608, or 625 must be approved by the Statistics Coordinator in order to be eligible for transfer to the M.S. in Statistics.

4. The Accelerated M.S. in Statistics can be completed at either the Amherst or Newton (Mt. Ida) campus. When submitting an application for the 4+1 program, please submit an application for the campus you are applying for.

Finishing the 4+1 M.S. in Statistics

After being accepted into the program, students

  • need to take additional 18 credits and fulfill the requirements for the regular MS degree in statistics in the fifth year (typically 9 credits in fall and 9 credits in spring), if eligible to transfer all 12 credits to the graduate program as stated above
  • may take longer than 2 semesters to complete the M.S. in Statistics if transferring less than 12 credits (depending on the number of remaining credits)
  • are not obligated to finish the program in the fifth year, although financial assistantship, if any, is only guaranteed for the fifth year

Please note that students who are interested in the fifth year MS program in statistics should start planning during the fall of the their junior year and contact the  coordinator of the statistics program  if there are any questions. To process the transfer of credits from undergraduate to the graduate degree, students must submit a  Transfer of Credit  form. This must be submitted to Graduate Program Manager Kaitlyn O'Konis at  @email . It is recommended that this form be submitted during the summer between your undergraduate senior year and first semester in the graduate program.

MS in Statistics at Newton Satellite Campus (Boston Area), Completely Flexible (In Person/Remote or 100% Remote)

-For information regarding this program, please see the following link.

-A 100 percent remote option is available for this program.

http://people.math.umass.edu/~conlon/statmtida/

-Note: non-degree students can register for graduate statistics courses at Newton Mount Ida starting one week before the beginning of classes each semester. See:

http://www.umass.edu/graduate/apply/non-degree-students

PhD Degree in Statistics

The PhD degree in statistics prepares students for academic positions or positions in academia, or as applied statisticians in industry or government. Entering students are expected to have had linear algebra, calculus, and advanced calculus. Typically, an incoming student in the PhD program in statistics will have had an introductory course or two in statistics at the undergraduate level. Students seeking the PhD degree in statistics must complete the following: coursework, qualifying exams, language requirement, and dissertation.

  • The student must complete successfully 36 hours of coursework, including Math 523 (or Math 623, or Math 605), Stat 535, 607, 608, 625, 705, and 725.
  • The student must also complete five elective courses, including two 600 level statistics courses, and 3 courses of the student’s choice, which require prior approval by the statistics coordinator (pre-approved list below).
  • Qualifying Exams

There are two tiers of exams, basic and advanced, which are intended to measure a student's overall mastery of standard material. The exams are administered during the week preceding each semester (August and January).

Basic Exams:  The student must pass three basic exams at the PhD level: the Applied Statistics exam and the Basic Probability and Basic Statistics exams, which cover the material from Stat 535 and Stat 625, Stat 607 and Stat 608 respectively.

Advanced Exams:  The student must pass the Advanced Exam in advanced statistics and the oral literature-based exam. The advanced statistics exam version I is based on advanced topics in Stat 607 and Stat 608, and topics from Stat 705. The advanced statistics exam version II is based on advanced topics in Stat 607 and Stat 608, and topics from Stat 725. The two versions are offered in alternate years depending which of Stat 705 and Stat 725 is offered in a year. For the literature-based exam, students need to choose a topic from the list of topics in the Axioms and form an exam committee that includes the primary faculty of that topic and two secondary faculty. Students are then given reference papers on the chosen topic to read. The exam is in the form of oral presentation and responding questions in front of the exam committee. A student may select a non-standard exam topic, in which case, the student must have the agreement of their committee members on the topic and the reading list. In order to take the literature-based exam, a student is responsible for forming an exam committee by the end of September for a January exam, or by the last day of spring classes for an August exam. Decisions on passing the exam are by unanimous consent of the exam committee. A student who does not pass will have one more chance to pass the literature-based exam. The second attempt may be on the same or a different topic.

Dissertation

After passing the Advanced Exam, the student becomes a PhD in statistics candidate. The student must write a satisfactory dissertation and pass a final oral examination (primarily a defense of the dissertation) and must satisfy all other requirements of his or her dissertation committee. The student is required to register for a minimum of 18 dissertation credits.

Data Science Certificate (possible to earn completely remotely/online)

The Certificate in Statistical and Computational Data Science is offered jointly between statistics and computer science. The certificate can be completed in one year and requires five courses total, with a minimum of two courses each of statistics and computer science.

It is possible to earn the certificate completely remotely/online. Please visit:  https://people.math.umass.edu/~conlon/statmtida/datascience.html

For more information on the certificate, please visit:

https://www.cics.umass.edu/academics/graduate-certificate-programs/certificate-statistical-and-computational-data

Approved Courses Outside the Department

The following courses are pre-approved to count toward STAT MS and PhD degrees (as specified) without additional prior approval.  Please contact the statistics coordinator for pre-approval of any other courses outside the department.

Toward MS degree only:

  • PHYSICS 597D (ST- Topics in Statistics and Data Analysis)
  • COMPSCI 514 (Algorithms for Data Science), CS 590V (Data Visualization and Exploration)
  • Biostats 597D, Biostats 650, Biostat 690Z  

Toward MS or PhD degree:

  • CS589 (Machine Learning), CS 682 (Neural Networks), CS 688 and CS690OP, CS 690D, CS 696DS, CS 611 (Advanced Algorithms), COMPSCI 688 (PROBABILISTIC GRAPHICAL MODELS),
  • Biostat 683/Biostat 690B (intro to causal inference), Biostat 690T (Applied Statistical Genetics), Biostat 730, Biostat 740 (Analysis of Mixed Models Data), Biostat 743 (Categorical), Biostat 748 (Applied Survival Analysis), Biostat 749 (Clinical Trials), Biostat 750 (Applied Statistical Learning), Biostat  790A,
  • Psych 891FM
  • PoliSci 797TA (Text as Data)

Related Information

  • Program Overview
  • Applied Mathematics MS
  • Remote Statistics MS
  • How to Apply
  • Financial Aid
  • Admissions FAQ
  • Recent Courses
  • Alumni Testimonials

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Department Phone: (413) 545-2762 Department Fax: (413) 545-1801 Department Office: LGRT 1657

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Mathematical Sciences

A photo of students completing a math equation on a blackboard

Where Numbers Meet Innovation

Seminars and colloquia.

  • Summer Math Modeling Program for High Schoolers
  • Mathematical Sciences Learning Laboratory
  • Math 010 – Intermediate Algebra
  • Math 113 - Contemporary Mathematics
  • Math 114 - Mathematics and Statistics
  • Math 115 - Pre-Calculus
  • Math 117 - Pre-Calculus for Scientists and Engineers
  • Math 221 - Calculus
  • Math 231/232 Integrated Calculus IA and IB
  • Math 241 - Analytic Geometry and Calculus A
  • Intermediate and Advanced Courses

Math Placement Exam

  • Student Organizations
  • Math Proficiency Exam
  • Scholarships and Awards
  • Careers in Math
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  • Dual Degree MSDS & PhD
  • Graduate Student Mathematical Modeling Camp
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  • Research Programs
  • Make a Gift

The Department of Mathematical Sciences at the University of Delaware offers undergraduate and graduate programs in mathematics, applied mathematics, economics, secondary math education and more. Our world-class faculty are dedicated to providing students with a rigorous education, cutting-edge research opportunities, and personalized mentoring. Students gain analytical and problem-solving skills for successful careers in academia, industry, and government. Discover the power and beauty of mathematics at UD.

Math Placement Exam >

Math course registration >, transfer of credit >, wh​y ud mathematical sciences .

Our f​​​​​​​​aculty do cutting-edge research, publishing over 100 papers per year in refereed journals and conference proceedings. 

  • The department is helping to train the next generation of mathematicians, awarding approximately eight doctoral degrees, 12 master's degrees, and 65 bachelor's degrees each year.
  • Most of our graduate students are funded as teaching assistants, and we are constantly improving the training we provide on how to teach effectively. Students aiming for academic careers have the opportunity to serve as instructor of record.

Nearly 100%

The placement rate for nearly 100% of our graduates as future teachers of mathematics.

According to a recent New York Federal Reserve study, mathematics is one of the top 12 highest-paying college majors, five years after graduation.

31% growth in careers

Employment of mathematicians is projected to grow 31 percent from 2021 to 2031, much faster than the average for all occupations.

Campus building

College of Arts and Sciences Announces New Faculty & Chairs

Forging stem’s next generation, for the love of math, upcoming events.

​The Department of Mathematical Sciences hosts a regular series of seminars and colloquia in the mathematical sciences and in the teaching and learning of mathematics. 

  • Applied Mathematics and Mathematical Medicine and Biology
  • Departmental Colloquia
  • Discrete Mathematics
  • Hallenbeck Graduate Student Seminar
  • Mathematics Education Seminar
  • Mathematics of Quantum Science
  • Numerical Analysis and PDE
  • Probability and Stochastic Processes
  • Teaching Seminar

View our Seminars and Colloquia >

Working together to ensure your success.

Students studying at the Mathematical Sciences Learning Laboratory

The purpose of math placement exam is to ensure that students begin their mathematical studies at UD in a course for which they are prepared and can succeed.

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IMAGES

  1. PhD in Mathematics

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  2. Estimated total duration of PhD

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  3. How Long Does It Take To Get A PhD In Mathematics

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  4. How To Do Phd In Mathematics

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  5. PhD In Mathematics

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  6. PhD in Mathematics

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  1. 3-Minute Thesis Competition 2023

  2. MPHIL| PHD MATHS ADMISSIONS GCU 2022|ABDUS SALAM SCHOOL OF MATHEMATICS |SIR M AHMAD NAZEER

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  4. DDU| Phd RET Entrance Exam 2024|Syllabus pattern,Number of questions|Duration| Complete Information|

  5. One year PhD program| Duration to pursue a PhD

  6. Full Video 👆

COMMENTS

  1. Ph.D. Program

    In outline, to earn the PhD in either Mathematics or Applied Mathematics, the candidate must meet the following requirements. During the first year of the Ph.D. program: Take at least 4 courses, 2 or more of which are graduate courses offered by the Department of Mathematics. Pass the six-hour written Preliminary Examination covering calculus ...

  2. PhD Program

    PhD Program. More information and a full list of requirements for the PhD program in Mathematics can be found in the University Bulletin. During their first year in the program, students typically engage in coursework and seminars which prepare them for the Qualifying Examinations. Currently, these two exams test the student's breadth of ...

  3. Guide To Graduate Study

    Guide to Graduate Studies. The PhD Program. The Ph.D. program of the Harvard Department of Mathematics is designed to help motivated students develop their understanding and enjoyment of mathematics. Enjoyment and understanding of the subject, as well as enthusiasm in teaching it, are greater when one is actively thinking about mathematics in ...

  4. PhD in Mathematics

    The average programme duration for a mathematics PhD in the UK is 3 to 4 years for a full-time studying. Although not all universities offer part-time maths PhD programmes, those that do have a typical programme duration of 5 to 7 years.

  5. How Long Does It Take To Get a PhD in Math?

    Typically, it takes about five years to get a Ph.D. in math. This amount of time is in addition to your undergraduate education, which usually takes about four years to complete. You don't necessarily have to get a master's degree, which takes about two years to complete, to pursue a Ph.D. in math. However, many students choose to earn a master ...

  6. Requirements for the Ph.D. Degree

    The normal time for completion of the Ph.D. program is five to six years. Requirement (1) normally includes basic courses in algebra, analysis, and topology. Students typically complete the eight-course requirement by the end of their third year. The Honors grades of (1) must be achieved within the first two years.

  7. Ph.D Program

    Completion of the PhD: Average completion time is 5.8 years; maximum time permitted is seven years. The Department will not financially support students past their sixth year in the PhD program. Completion of the PhD degree must occur within 9 quarters (three years) of advancement to PhD candidacy.

  8. Mathematics PhD Program

    The Ph.D. program in the Department of Mathematics provides students with in-depth knowledge and rigorous training in all the subject areas of mathematics. A core feature is the first-year program, which helps bring students to the forefront of modern mathematics. Students work closely with faculty and each other and participate fully in both ...

  9. Ph.D. Program Overview

    The graduate program in the field of mathematics at Cornell leads to the Ph.D. degree, which takes most students five to six years of graduate study to complete. One feature that makes the program at Cornell particularly attractive is the broad range of interests of the faculty. The department has outstanding groups in the areas of algebra ...

  10. Department of Mathematics at Columbia University

    The Department of Mathematics offers a program leading to the degree of Doctor of Philosophy. The PhD program is an intensive course of study designed for the full-time student planning a career in research and teaching at the university level or in quantitative research and development in industry or government.

  11. Harvard Mathematics Department Graduate Information

    The pure math PhD admissions application is open. The application submission deadline is December 15, 2024. For information on admissions and financial support, please visit the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences.. Harvard Griffin GSAS is committed to ensuring that our application fee does not create a financial obstacle. . Applicants can determine eligibility for ...

  12. Ph.D. in Mathematics

    To graduate with a PhD in Mathematics, a student must satisfy all of the following requirements: Course Credits: 45 credits, including 15 doctoral dissertation research credits/GRAD 6950. If you have a Master's degree in mathematics at UConn, then 30 credits are required, including 15 doctoral dissertation research credits.

  13. Graduate Program

    Our graduate program is unique from the other top mathematics institutions in the U.S. in that it emphasizes, from the start, independent research. Each year, we have extremely motivated and talented students among our new Ph.D. candidates who, we are proud to say, will become the next generation of leading researchers in their fields. While we ...

  14. PhD in Applied Mathematics

    Undergraduate-level courses cannot be used. For details on course requirements, see the school's overall PhD course requirements and the individual program pages linked therein. Program Plan (i.e., the set of courses to be used towards the degree) approval by the Committee on Higher Degrees (CHD). Minimum full-time academic residency of two years.

  15. PhD in Mathematics

    The doctoral program in Mathematics offers the personalized attention of a small department and a range of faculty with expertise to support research. ... Full-time PhD students in mathematics are supported primarily through teaching assistantship (TA) positions. Students making acceptable progress in the PhD program are normally funded for at ...

  16. Ph.D. in Mathematics

    Full-time students are required to register for a minimum of twelve (12) units every quarter, eight (8) of which must be graduate-level mathematics courses taken for a letter grade only. The remaining four (4) units can be approved upper-division or graduate-level courses in mathematics-related subjects (MATH 500 may not be used to satisfy any ...

  17. Ph.D. in Mathematics

    The Ph.D. program also offers students the opportunity to pursue their study and research with Mathematics faculty based at NYU Shanghai. With this opportunity, students generally complete their coursework in New York City before moving full-time to Shanghai for their dissertation research. For more information, please visit the NYU Shanghai Ph ...

  18. Doctor of Philosophy in Mathematics (PhD)

    UBC's mathematics graduate students work in many branches of pure and applied mathematics. The PhD program trains students to operate as research mathematicians. The focus of the program is on substantial mathematical research leading to the ... Study Period: Sep 2022 to Aug 2023 - average funding for full-time PhD students enrolled in three ...

  19. PhD in Applied Mathematics

    Applied Mathematics PhD Degree. Harvard School of Engineering offers a Doctor of Philosophy (Ph.D.) degree in Applied Mathematics conferred through the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences. Doctoral students may earn the masters degree en route to the Ph.D. Prospective students apply through Harvard Griffin GSAS; in ...

  20. PhD in Mathematics (2025 Entry)

    The PhD in Mathematics offers an intellectually stimulating and dynamic research course. Study at the University of Warwick's Mathematics Institute, an international centre of research excellence, ranked 3rd for research power and 3rd for the number of 4* research outputs in REF 2021 (amongst UK universities). Course overview. Entry requirements.

  21. Mathematics Education PhD

    Examinations are offered once in the fall, spring, and summer terms. Courses recommended as preparation for the examinations in mathematics education include MSTM 6037, MSTM 4019, and other mathematics education courses; Courses recommended as preparation for the examinations in mathematics are 6000- level mathematics content courses.

  22. Ph.D. Mathematics Course, Eligibility, Entrance Exams, Syllabus

    Ph.D. Mathematics is the program of choice for students who wish to pursue a career in a mathematical research field. The minimum duration of this course is 2-years, whereas you can complete this course in a maximum time span of 3-5 years.; Ph.D. Mathematics is a full-time doctoral degree.

  23. Mathematics Education, PHD

    Program Contact Information. If you have questions related to admission, please click here to request information and an admission specialist will reach out to you directly. For questions regarding faculty or courses, please use the contact information below. [email protected]. 480/965-3951.

  24. Graduate Programs

    The graduate programs in Mathematical Sciences at the University of Delaware offer a comprehensive educational experience with a strong emphasis on research and student life. With a range of degree options, including Ph.D., M.S., and 4+1 programs, students are well-equipped to pursue successful careers in academia, industry, and government.

  25. Graduate Degree in Statistics : Department of Mathematics and

    The Department of Mathematics and Statistics offers graduate degrees in statistics at the MS and PhD levels. Note that until 2023, these degrees were granted as concentrations of the corresponding math degrees. ... The student must complete successfully 36 hours of coursework, including Math 523 (or Math 623, or Math 605), Stat 535, 607, 608 ...

  26. Mathematical Sciences

    The Department of Mathematical Sciences at the University of Delaware is renowned for its research excellence in fields such as Analysis, Discrete Mathematics, Fluids and Materials Sciences, Mathematical Medicine and Biology, and Numerical Analysis and Scientific Computing, among others. Our faculty are internationally recognized for their contributions to their respective fields, offering ...

  27. Introducing OpenAI o1

    In our tests, the next model update performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology. We also found that it excels in math and coding. In a qualifying exam for the International Mathematics Olympiad (IMO), GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%.

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  29. OpenAI Unveils New ChatGPT That Can Reason Through Math and Science

    On the qualifying exam for the International Mathematical Olympiad, or I.M.O. — the premier math competition for high schoolers — its previous technology scored 13 percent. OpenAI o1, the ...