university of michigan computer science phd acceptance rate

University Of Michigan Computer Science Acceptance Rates And Admissions

Getting accepted into the University of Michigan’s top-ranked computer science program is highly competitive. If you’re looking for a quick answer, the overall acceptance rate for undergraduates is 23%, while the graduate program acceptance rate is 22% .

In this comprehensive guide, we’ll provide detailed information on acceptance rates, admissions requirements, and tips for getting into UMich’s prestigious computer science program.

Undergraduate Acceptance Rates and Admissions

When it comes to pursuing higher education, the University of Michigan is renowned for its exceptional academic programs. One of the most sought-after fields of study at the university is computer science.

Prospective students often wonder about the acceptance rates and admissions requirements for the computer science program. This article aims to provide valuable insights into the undergraduate acceptance rates and admissions process for the University of Michigan’s computer science program.

Overall Acceptance Rate

The University of Michigan is a highly competitive institution, and its overall acceptance rate reflects that. According to recent data, the university’s overall acceptance rate hovers around 23%. This means that out of every 100 applicants, only 23 are admitted.

It is important to note that this acceptance rate includes all undergraduate programs at the university, not just computer science. As a result, the acceptance rate for computer science may be slightly different.

Computer Science Acceptance Rate

The computer science program at the University of Michigan is highly regarded and attracts a large number of applicants each year. While the exact computer science acceptance rate is not publicly available, it is generally believed to be more competitive than the university’s overall acceptance rate.

Computer science is a popular major among students, and the limited number of spots available in the program makes the selection process highly competitive. Prospective students are encouraged to showcase their passion, skills, and dedication to computer science in their application materials to increase their chances of admission.

Admissions Requirements

The admissions requirements for the computer science program at the University of Michigan are rigorous. In addition to meeting the general requirements for admission to the university, applicants to the computer science program are expected to demonstrate a strong aptitude for mathematics, problem-solving skills, and a passion for technology.

The university looks for well-rounded students who have excelled in their high school curriculum, particularly in math and science courses. Additionally, strong letters of recommendation and a compelling personal statement can greatly enhance an applicant’s chances of being accepted into the program.

For more detailed information about the admissions process, prospective students are encouraged to visit the official University of Michigan website https://www.umich.edu . The website provides comprehensive information about the application process, deadlines, and any additional requirements for the computer science program.

Graduate Acceptance Rates and Admissions

The University of Michigan is known for its highly competitive admissions process. With a large number of applicants each year, the overall acceptance rate for graduate programs is quite low. As of the most recent data available, the overall acceptance rate for graduate programs at the University of Michigan is around 25%.

This means that out of every 100 applications, only 25 are accepted.

It is important to note that the acceptance rate can vary between different departments and programs within the university. Some programs may have higher acceptance rates, while others may be more selective.

The Computer Science program at the University of Michigan is highly sought after by aspiring students in the field. The acceptance rate for the Computer Science graduate program is typically lower than the overall acceptance rate for the university.

While the exact acceptance rate for the Computer Science program may vary from year to year, it is generally considered to be highly competitive. As of the most recent data available, the acceptance rate for the Computer Science graduate program at the University of Michigan is around 15%.

This means that out of every 100 applications, only 15 are accepted.

The low acceptance rate highlights the rigorous nature of the program and the high standards set by the university for admission into the Computer Science graduate program.

In order to be considered for admission into the Computer Science graduate program at the University of Michigan, applicants must meet certain requirements.

• A completed online application, including personal information, academic history, and statement of purpose
• Official transcripts from all previous institutions attended
• Letters of recommendation from professors or professionals who can speak to the applicant’s abilities and potential for success in the program
• A competitive GRE (Graduate Record Examination) score
• A strong academic background in computer science or a related field
• For international students, proof of English language proficiency through TOEFL or IELTS scores

Meeting these requirements is just the first step in the admissions process. The university also considers factors such as research experience, publications, and relevant work experience when evaluating applicants.

It is important for prospective students to thoroughly review the admissions requirements and ensure that they meet the criteria before applying to the Computer Science graduate program at the University of Michigan.

Application Tips to Get Accepted

Getting accepted into the University of Michigan’s Computer Science program can be a competitive process. To increase your chances of acceptance, it’s important to pay attention to several key factors during the application process.

GPA and Test Scores

Your GPA and test scores are crucial components of your application. The University of Michigan’s Computer Science program has high standards for academic achievement. Aim to maintain a strong GPA throughout your high school career and perform well on standardized tests such as the SAT or ACT.

While there is no specific GPA or test score requirement, it’s important to strive for excellence in these areas.

The essay portion of your application is an opportunity to showcase your unique qualities and highlight your passion for computer science. Take the time to craft a well-written and compelling essay that showcases your personality and demonstrates your understanding of the field.

Be sure to proofread your essay carefully and consider seeking feedback from teachers or mentors.

Recommendations

Strong letters of recommendation can greatly enhance your application. Choose individuals who can speak to your academic abilities, work ethic, and potential for success in the field of computer science.

Consider asking teachers, mentors, or employers who have firsthand knowledge of your skills and accomplishments. Provide them with any necessary information or materials to help them write a detailed and positive recommendation letter.

Some applicants to the University of Michigan’s Computer Science program may be invited to participate in an interview. If you are offered an interview, make sure to prepare in advance. Research common interview questions and practice your responses. Dress professionally and arrive on time.

During the interview, be confident, articulate, and enthusiastic about your interest in computer science. Use this opportunity to showcase your knowledge and passion for the field.

Remember, the application process for the University of Michigan’s Computer Science program is competitive, but with careful preparation and attention to these key factors, you can increase your chances of acceptance. Good luck with your application!

The University of Michigan boasts one of the top computer science programs in the country, but gaining admission is highly selective. Understanding acceptance rates and admissions criteria is key. With outstanding academics, test scores, essays, and recommendations, prospective students can maximize their chances of getting accepted into UMich’s prestigious program.

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Your chance of acceptance, your chancing factors, extracurriculars, umich cs acceptance rate: how competitive is it.

Hi guys! I'm really interested in applying for the Computer Science program at the University of Michigan. Does anyone know how competitive the acceptance rate is, or any tips to increase my chances of getting in? Thanks in advance!

The Computer Science (CS) program at the University of Michigan falls under the College of Engineering, which is known to be competitive. While Michigan doesn't officially release acceptance rates for individual colleges, given the popularity and strong reputation of the CS program, it's safe to assume the rate for this particular major/college is lower than Michigan's overall rate of about 18%.

To increase your chances of getting into the CS program, there are a few strategies you can follow:

1. Strong academics: Having a strong GPA, especially in relevant subjects like math and science, will help. Take advanced courses, such as AP or IB classes, to demonstrate your academic rigor in these subjects.

2. Test scores: While standardized tests are no longer required for all applicants, submitting a strong SAT or ACT score (if available) can help showcase your academic abilities when applying to such a competitive program, especially if your scores are high. If you want to read more about how to navigate test-optional policies, you can find more detailed guidance on CollegeVine's blog: https://blog.collegevine.com/does-test-optional-mean-test-optional/.

3. Extracurriculars: Emphasize your passion for CS and related fields through your extracurricular activities, such as participating in programming competitions, joining or leading technology clubs, or developing your own personal projects. If you're looking to bolster your extracurricular involvement during the summer when you have more time, you can find a list of reputable summer programs related to computer science on CollegeVine's blog: https://blog.collegevine.com/high-school-computer-science-summer-programs.

4. Essays: Write compelling essays that demonstrate your passion for CS, your experience in the field, and how you will contribute to and benefit from the UMich community. Be genuine and avoid cliché topics. You can read more detailed advice on how to tackle UMich's supplemental essay prompts on CollegeVine's blog: https://blog.collegevine.com/how-to-write-the-university-of-michigan-essays.

5. Letters of recommendation: Get strong letters of recommendation, preferably from teachers who can vouch for your academic strengths and your passion for CS.

6. Apply Early Action (EA): Applying for Early Action at UMich can give you a slight advantage in the admissions process. While it is not binding like Early Decision, submitting your application during the EA round demonstrates your sincere interest in attending the school.

Finally, research the specific requirements and expectations of the UMich CS program and make sure you submit a complete and polished application to maximize your chances. Good luck!

About CollegeVine’s Expert FAQ

CollegeVine’s Q&A seeks to offer informed perspectives on commonly asked admissions questions. Every answer is refined and validated by our team of admissions experts to ensure it resonates with trusted knowledge in the field.

College of Engineering and Computer Science

Artificial intelligence (ms).

Undergraduate Degree Required Bachelor's degree in science, technology, engineering, or mathematics (STEM) field with a cumulative GPA of 3.0 (on a 4.0 scale) or higher

Standardized Test Scores GRE not required

Prerequisite Courses

• ​Course in Probability and Statistics (IMSE 317 or STAT 326 or MATH 425 or equivalent)
• Course in Programming (CIS 2001/CIS 200 and CIS 350 or equivalent)
• Calculus II (MATH 116 or equivalent)
• Discrete Structures (CIS 275 or ECE/MATH 276 or equivalent) 
• Calculus III (MATH 215 or equivalent)  Recommended 
• Linear Algebra (MATH 227 or equivalent)  Recommended

*If missing prerequisite course(s), they may be taken concurrently within first two semesters of enrollment in the program (B or better) if admitted

Automotive and Mobility Systems Engineering (MSE)

Undergraduate Degree Required Bachelor's degree in engineering from an ABET-accredited program with a minimum cumulative GPA of 3.0 (on a 4.0 scale)

Automotive Systems and Mobility (DEng)

Previous Degrees Required

• Bachelor's degree from an accredited program with an expected GPA of 3.0 or higher on a 4-point scale
• Master's degree in a related engineering or computer science field from an accredited program with an expected GPA of 3.2 or higher on a 4-point scale 

Other Experience Required

At least 2 years of full-time equivalent engineering experience​

Please note: Preference will be given to applicants who meet one of the following criteria: 

• Scholarships provided by companies or government organizations
• Employer commitment in writing (ex. reduced working hours to 30 hours/week for three years)

Bioengineering (MSE)

Undergraduate Degree Required Bachelor of Science (BS) in bioengineering or a related engineering or science discipline from an  ABET-accredited program  with a cumulative grade point average of 3.0/4.0 or better  Students from non-bioengineering fields may be required to take preparatory courses before or after starting the program. If admission prerequisites are unfulfilled, the applicant must  speak to an advisor .

• Anatomy & physiology with lab
• One year of calculus-based physics (2 courses; PHYS 150 and PHYS 151 or equivalents)
• One year of chemistry (2 courses; CHEM 134 and CHEM 136 or equivalents)
• Mathematics through calculus III (MATH 205 or MATH 215 or equivalents) AND ordinary differential equations (MATH 216 or equivalent)
• Engineering core, including the following courses at minimum:
• Solid mechanics and dynamics (ME 265 or equivalent)
• Thermo-fluid sciences (BENG 325 or equivalent)

Accelerated 4+1 Options Current UM-Dearborn undergraduate students who have: 

• completed at least 60 undergraduate credit hours
• attained Junior standing
• cumulative GPA of 3.4 or higher 
• enrolled in the undergraduate BENG/ME dual program (BSE-BEME) for the  BEME Dual accelerated master's program  
• enrolled in the undergraduate BENG program (BSE-BENG) for the  Bioengineering 4+1 option

Interested students must also have completed the following courses with a B+ or better: 

• ME 265 and ME 230
• At least two: BENG 325, 351, 370, 375, 381 Note: a pre-admission interview is required for all applicants to the 4+1 option. 

Computer and Information Science (MS)

Undergraduate Degree Required Bachelor's degree from an accredited program with a minimum GPA of 3.0 or higher

Standardized Test Scores GRE not required

• Calculus I & II * (MATH 115 and 116 or equivalents)
• CIS 310  or equivalent (Computer Organization)*
• CIS 350 or equivalent (Data Structures and Algorithm Analysis)*
• CIS 450 or equivalent (Operating Systems)*
• IMSE 317 or equivalent (Engineering Probability and Statistics) or MATH 227 or equivalent (Linear Algebra)*

Other Experience Required Proficiency in at least 1 high-level programming language (preferably C/C++ 1&2 or Java 1&2)​

*Prerequisite courses may be taken concurrently within 2 years of admission to program.

Computer and Information Science (PhD)

• Bachelor's degree expected GPA of 3.2 or higher on a 4-point scale
• Master's degree expected GPA of 3.5 or higher on a 4-point scale

Standardized Test Scores GRE not required 

• 12 credit hours in Calculus
• Linear Algebra (MATH 217 or MATH 227 or equivalent)
• Data Structures (CIS 350 or equivalent)
• Computer Organization (CIS 310 or equivalent)
• Operating Systems (CIS 450 or equivalent)
• Calculus-based Probability and Statistics (IMSE 317 or equivalent)

Computer Engineering (MSE)

Undergraduate Degree Required Bachelor's degree in Electrical and/or Computer Engineering with an overall GPA of 3.0 or higher

Cybersecurity and Information Assurance (MS)

Undergraduate Degree Required Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field with a cumulative GPA of 3.0 on a 4.0 scale

• Probability and Statistics (IMSE 317 or STAT 326 or MATH 425 or equivalent)  required
• CIS 200/CIS 2001 or equivalent required
• CIS 350 or equivalent recommended
• Calculus II (MATH 116 or equivalent)  required
• Calculus III (MATH 215 or equivalent)  recommended
• Linear Algebra (MATH 227 or equivalent)   recommended

*Prerequisite courses may be taken concurrently within 2 years of admission to program with a grade or B or better

Data Science (MS)

Undergraduate Degree Required Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field with an average of 3.0 on the 4.0 scale

• One course in programming (CIS 2001 OR CIS 200 or equivalent)
• Probability and Statistics (IMSE 317 OR STAT 326 OR MATH 425 or equivalent)
• Calculus III (MATH 215 or equivalent)  Recommended

*Prerequisite courses may be taken concurrently within first 2 semesters in the program. 

Dual Degree - Business Administration (MBA)/Industrial Systems Engineering (MSE)

The College of Business and the College of Engineering and Computer Science offer an innovative dual degree program leading to the simultaneous award of a Master in Business Administration (MBA) and a Master of Science in Engineering-Industrial & Systems Engineering (MSE-ISE).​

Undergraduate Degree Required Bachelor's degree in engineering, a physical science, computer science, or applied mathematics

Standardized Test Scores Beginning Winter 2024, the GMAT and GRE are optional for admission to all College of Business master's degree programs.  As part of our selective and holistic admission process, the graduate admissions committee may ask some applicants to submit GMAT or GRE scores if additional information is necessary to help demonstrate readiness to succeed in the master's program. 

• A course in probability and statistics (IMSE 510 or equivalent)*
• A course in operations research (IMSE 500 or equivalent)*

*If admission prerequisites are unfulfilled, the applicant must  speak to an advisor .

Electrical and Computer Engineering (DEng)

• Bachelor's degree with an expected GPA of 3.0 or higher on a 4-point scale
• Master's degree with an expected GPA of 3.2 or higher on a 4-point scale   

         Standardized Test Scores

         GRE not required 

        Other Experience Required

At least 2 years of full-time equivalent research and development experience​ in industry

Please note: Preference will be given to applicants who meet one of the following criteria:

Electrical, Electronics and Computer Engineering (PhD)

• Bachelor or master's degree in electrical and/or computer engineering or computer science with an expected GPA of 3.2 or higher on a 4-point scale

Backgrounds in other engineering fields, physical science or mathematical science may be considered with the understanding that additional coursework may be required 

Standardized Test Scores No GRE Required 

• Ordinary Differential Equations (MATH 216 or equivalent)
• Linear Algebra (Math 227 or equivalent)
• Probability and Statistics (IMSE 317 or equivalent)
• Data Structures and Algorithms (IMSE 351 or equivalent)
• Knowledge in computer programming

Electrical Engineering (MSE)

Energy systems and sustainability engineering (mse).

Undergraduate Degree Required Bachelor of Science in engineering or equivalent

Engineering Management (MS)

Undergraduate Degree Required Bachelor's degree in engineering  OR  a degree in math, computer science, or a physical science coupled with at least 2 years experience in engineering after completion of bachelor's degree

Prerequisite Courses Calculus-based course in probability and statistics (IMSE 317 or equivalent)

Human Centered Design and Engineering (MS)

Undergraduate Degree Required Bachelor's degree in cognitive science, computer science, art, design, engineering, business, or related areas with an overall GPA of 3.0 or higher on a 4.0 scale

Industrial and Systems Engineering (MSE)

Undergraduate Degree Required

Bachelor's degree in engineering, a physical science, computer science, or applied mathematics

Standardized Test Scores

GRE not required

Industrial and Systems Engineering (PhD)

Previous Degrees Required Master's degree in engineering, applied mathematics, computer science, or a physical science with an expected GPA of 3.5 or higher on a 4-point scale (expected bachelor's GPA of 3.2 or higher)

Standardized Test Scores No GRE required

• Knowledge of computer programming
• Operations Research (IMSE 500 or equivalent)
• Calculus-based Probability and Statistics (IMSE 510 or equivalent)

Information Systems and Technology (MS)

Undergraduate Degree Required Bachelor's degree in engineering, a physical science, computer science, applied mathematics, business administration, or liberal arts with a minimum cumulative GPA of 3.0 or higher on a 4.0 scale

• A course in Data Structures (IMSE 350/351, CIS 350/352, or equivalent)
• Knowledge of computer programming, such as C++ or Java (IMSE 255, IMSE/CIS 150, CIS 205 or equivalent)

Manufacturing Systems Engineering (MSE)

Undergraduate Degree Required Bachelor of Science in engineering or a physical science from an accredited program with an average of B or better (3.0 GPA or higher on a 4.0 scale)

• a background in probability and statistics*
• a background in engineering materials*

*If the applicant does not have a background in probability and statistics, they will be required to take a statistics course at the undergraduate level (IMSE 317 or equivalent). If the applicant does not have a background in engineering materials, they will be required to take ENGR 250 (or equivalent) as a prerequisite to AE 587 or ECE 385 (or equivalent) as a prerequisite to ECE 539.

Materials Science and Engineering (MSE)

Undergraduate Degree Required Bachelor's degree in materials science, mechanical, aerospace, metallurgical, chemical, or biomedical engineering with a cumulative GPA of 3.0 or higher on a 4.0 scale Backgrounds in other engineering disciplines or natural science fields may be considered with the understanding that additional coursework may be required.  These courses should be completed to bring their educational background equivalent to graduates with a BSE in Materials Science and Engineering prior to applying.  

Mechanical Engineering (MSE)

Undergraduate Degree Required Bachelor of Science in mechanical engineering or equivalent with a GPA of 3.0 or higher on a 4.0 scale

Mechanical Sciences and Engineering (PhD)

• Bachelor or master's degree in mechanical engineering or a closely related field with an expected GPA of 3.2 or higher on a 4-point scale

Backgrounds in other engineering fields or non-engineering fields may be considered with the understanding that additional coursework may be required 

Program and Project Management (MS)

Undergraduate Degree Required Bachelor's degree in engineering, business, economics, math, computer science, or other physical sciences with a bachelor's cumulative GPA of 3.0 or higher

Prerequisite Courses Coursework in probability and statistics that can be satisfied by completing IMSE 510 as part of approved electives within the first two semesters of admission into the program

Other Experience Required At least 2 years of practical work experience​

Robotics Engineering (MSE)

Undergraduate Degree Required Bachelor's degree in physical or mathematics sciences with a bachelor's cumulative GPA of 3.0 or higher on a 4.0 scale.  Students from other related fields may be required to take preparatory courses before or after starting the program. 

• Linear Algebra (MATH 217 or equivalent)
• Dynamics (ECE 347 or equivalent)
• Data Structures and Algorithms (ECE 270 and ECE 370 or equivalent)  

          Other Experience Required          Computer programming (no particular language or methodology)

Software Engineering (MS)

Undergraduate Degree Required Bachelor's degree in computer science and/or computer engineering with an overall GPA of 3.0 or higher on a 4.0 scale 

• Calculus I & II * (MATH 115 and 116 or their equivalents)
• CIS 310 or equivalent (Computer Architecture) *
• CIS 350 or equivalent (Data Structures and Algorithm Analysis) *
• CIS 450 or equivalent (Operating Systems) *
• IMSE 317 or equivalent (Engineering Probability and Statistics) or MATH 227 or equivalent (Linear Algebra) *
• Programming Language, preferably C/C++ I & II (CIS 200 or equivalent)

*Prerequisite courses may be taken concurrently within 2 years of admission to program

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Study In Usa > Colleges In Usa > UMich > Programs > Ph.D[Computer Science and Engineering]

Doctor of Philosophy [Ph.D] [Computer Science and Engineering] From University of Michigan

Doctor of Philosophy [Ph.D] (Computer Science and Engineering)

Stem course.

This course focuses on Science, Technology, Engineering, or Mathematics subjects, offering a deep dive into these fields to enhance your knowledge and skills in STEM disciplines.

Field of Study : 

₽9,743,998 /Yr

• University of Michigan offers a Ph.D. in Computer Science and Engineering with a duration of 4 years.
• This program is full-time and thesis-based.
• It is delivered on-campus.
• In this program after all requirements except the dissertation are completed, students become candidates.
• Upon entering a doctoral program, there is a Ph.D. qualifying process, normally completed during the first two years.
• Students entering this program with a bachelor’s degree typically become candidates in the third year.
• Students with a Bachelor’s are strongly encouraged to complete the degree within five years.
• Students with Master’s become candidates in the second year and are encouraged to complete the degree within 4 years.
• Doctoral students cannot take time off from their studies, or pursue the later stages of their degree without registering, except in special circumstances.
• According to QS Global World Ranking University of Michigan ranks #21.
• The student-faculty ratio at University of Michigan is 15:1, and the school has 55.2% of its classes with fewer than 20 students.
• The average salary after this program goes upto $124,490.

Important Dates

Tuition Fees

Other Expenses

All Michigan Engineering doctoral students are guaranteed full funding, provided they continue to meet all the milestones on the path to their doctorate. The package includes:

• Tuition and fees
• University Health Insurance
• Monthly living stipend

Eligibility & Entry Requirement

Academic Eligibility:

• Successful completion of a Master’s degree with GPA of at least 3.5/4.0.
• In addition, students admitted to the Ph.D. program often have prior research experience or have demonstrated research aptitude.

Indian Eligibility:

• Successful completion of a Masters's degree from a recognized college or university.
• Students should have 80% in previous studies.

Due to the coronavirus pandemic, GRE scores for this admissions cycle are neither required nor expected.

Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.

Scores Required

Avg. Score in

Required Document List

The following required documents are:

• Resume:  Outline of academic achievements and/or awards, publications, relevant work, and/or volunteer experience.
• Official Mark Sheets and Degree Certificates:   The marks statement provided by the education board after completion of the previous academic qualifications.
• List All Post-Secondary Educational Institutions: It includes technical and professional schools, regardless of the duration of attendance or whether the study was related to the field of management.
• Two   Letter of Recommendation:  A recommendation letter should include information about the student, their connection with the person they are recommending, why they are qualified, and the specific skills they have.
• Statement of Purpose -  This is an essay or any written statement written by the student while applying.
• ELP Scores:  Students have to submit their English language proficiency scores like IELTS, TOEFL, or other test scores.

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PhD in USA: Fees 2024, Top Colleges, Placements & Salaries

Career and Placement after Course

Career opportunities are:

• Big Data Engineer.
• Machine Learning Engineer. 
• Data Scientist.
• Data Analyst.
• Blockchain Developer/Engineer.
• Software Developer.
• Computer Network Architect.
• Computer Systems Analyst.

Scholarship Grants & Financial Aids

10 Reviews Found

Review about my PhD experience in UMich Ann Arbor

• Flexiblity in my research on a topic I am passionate about. Also, everyone in my lab is welcoming and helpful - no judgments. There's a lot of events ongoing that helps me network and possible collaboration opportunities among different fields.
• Just the winters here sometimes get very long, so the first year can be an adjustment, specially for people from our countries, since we are usually not used to long winters.

"Yes, I submitted SoP, 3 LoRs, CV. Interview for the PhD program was technical - questions about my field, and past projects. No implementation questions were asked, only conceptual. " My advisor is my most preferred advisor in my field, university also ranks well in terms of rankings and reputation. Overall experience has been really good. It is filled with diverse learning opportunities both inside and outside the classroom. The vibrant campus life, and supportive faculty, fostered an environment of growth and discovery. We can also engage in various clubs and organizations which helps develop leadership skills. Research collaboration opportunities are immense, this helps me as a PhD student to understand various perspectives of a problem I am trying to work on.

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Computer Science (CS)

Com.pu.ter sci.ence.

To conduct research to develop new methods, architectures, and algorithms in order to solve complex problems, then invent the future by developing the vast array of applications that operate within these frameworks.

Also Known As: Computer Scientist, Software Engineer, Software Developer, Artificial Intelligence Specialist, Computational Linguist, Information Scientist, +10,000 more

Why cs at michigan, institutional ranking in cs at csrankings.org, award-winning faculty, in research funding, the cs program at michigan is one of the oldest and most respected in the world, u-m alumni have received the am turing award, considered the “nobel prize” of computing, technical rigor and relevance interdisciplinary, teamwork, and entrepreneurial opportunities, learn more about the cs advance selection process, what do computer scientists do.

We understand how to design and analyze algorithms, how to store and retrieve information, how computers function, and how to develop software systems that solve complex problems. We master these skills and suddenly, we have an incredible power to create: to make something unprecedented, something noteworthy, something entirely ours, all using our ever-trusty sidekicks – computers.

ACADEMIC FOCUS AREAS

Computer hardware, design the circuits and architectures, such as microprocessors, memories, and storage devices, for advanced computing systems..

Courses: Logic Design, Embedded System Design, VLSI Design, Computer Architecture, Logic Circuit Synthesis & Optimization

Computing Infrastructure

Develop the software systems that dictate how computers, networks, data centers, and applications handle and process data..

Courses: Operating Systems, Compiler Construction, Database Management Systems, Computer Networks, Distributed Systems

Intelligent Systems

Develop systems that can autonomously collect, analyze, and respond to their environments and other external stimuli..

Courses: Computer Vision, Machine Learning, Autonomous Robotics Design Experience, Informational Retrieval & Web Search, Artificial Intelligence

Software Development

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• CoE Core Physics (240 / 241)
• Major Requirement Discrete Math (EECS 203)
• Major Requirement Prog. & Intro Data Structures (EECS 280)
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• CoE Core Applied Lin. Algebra (Math 214)
• Major Requirement Data Structures & Algorithms (EECS 281)
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• Major Requirement STATS 250, STATS 280, or STATS 412
• Major Requirement Foundations of Computer Science (EECS 376)
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• Major Requirement Major Design Experience/Professionalism (EECS 496)
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Graduate programs in the Michigan Tech Department of Computer Science pave the way to exciting, well-compensated career opportunities. You'll be well-prepared through Michigan Tech's high-quality educational experience, which blends fundamentals, cutting-edge technologies, and innovative research.

Computer Science faculty and students apply computational approaches to solve significant hardware, software, and data problems across a wide range of disciplines. Students have many rich opportunities to conduct leading-edge research in a friendly, collegial atmosphere. You will find us working on research in artificial intelligence, machine learning, data science, big data, internet of things, biometrics, computer and network security, human-computer interaction, and more.

Our students and graduates are in high demand by state, national, and international companies. And our alumni are active throughout the nation and worldwide, developing innovative technologies and solving hard multidisciplinary problems. 

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• Four faculty members and an alumnus have received prestigious NSF CAREER Awards.
• Alumni hold faculty positions at the Missouri University of Science and Technology, University of Houston, and University of Rochester, among others.
• Our graduates are employed in a range of industries, including Amazon, AMD, Ford, Google, Microsoft, Netflix, Intel, Qualcomm, Raytheon, Texas Instruments, and more.
• Graduate students have received the NSF Graduate Research Fellowship Award, the King-Chavez-Parks Future Faculty Fellowship, the Google Anita Borg Scholarship, and a NASA-Harriet G. Jenkins Predoctoral Fellowship Award
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This option requires a research thesis prepared under the supervision of the advisor. The thesis describes a research investigation and its results. The scope of the research topic for the thesis should be defined in such a way that a full-time student could complete the requirements for a master’s degree in 12 months or three semesters following the completion of coursework by regularly scheduling graduate research credits.

The minimum requirements are as follows:

Programs may have stricter requirements and may require more than the minimum number of credits listed here.

The CS Department allows up to 6 of the 30 hours of credit required for graduation to be in CS5990. In addition to completing the 30 hours of credit in approved courses (including CS5990 and up to 3 hours of CS5999 credit though not more than 9 total hours may be taken in CS5990 and CS5999), a student following the thesis option is expected to:

• Prepare a written plan describing the thesis research.
• Defend the research plan in an oral seminar presentation or meet with the advisory committee to discuss the research plan.
• Prepare a final thesis.
• Defend the thesis in an oral seminar presentation.
• Learn more about the Thesis Option

This option requires a report describing the results of an independent study project. The scope of the research topic should be defined in such a way that a full-time student could complete the requirements for a master’s degree in twelve months or three semesters following the completion of coursework by regularly scheduling graduate research credits. 

Of the minimum total of 30 credits, at least 24 must be earned in coursework other than the project:

The project option allows up to 6 of the 30 hours of credit required for graduation to be in CS5990. In addition to completing the 30 hours of credit in approved courses (including CS5990 and up to 3 hours of CS5999 credit), a student following the project option is expected to: present written and oral project reports at the conclusion of the project. Thus, the student should:

• Prepare a written project plan that describes any background work necessary for completion of the project.
• Present the project plan to the advisory committee.
• Prepare a final report at the conclusion of the project.
• Defend the project report in a public oral seminar presentation.
• Learn more about the Project Option .

This option requires a minimum of 30 credits be earned through coursework. A limited number of research credits may be used with the approval of the advisor, department, and Graduate School. See degree requirements for more information.

A graduate program may require an oral or written examination before conferring the degree and may require more than the minimum credits listed here:

• The coursework option requires 30 hours of graded course work.
• None of the 30 hours of credit required for graduation may be in CS5990 and no more than 3 hours of CS5999 credit may be applied to the 30-hour requirement.
• Course work option students have the graduate director as their advisor.
• Learn more about the Coursework Option .
• Undergraduate students can complete both their bachelor's and master's degrees on an accelerated timeline .

PhD Degree Plan

To complete a doctoral degree, students must complete the following milestones:

• Complete all coursework and research credits (see credit requirements below)
• Pass Qualifying Examination
• Pass Research Proposal Examination
• Prepare and Submit Approved Dissertation
• Pass Final Oral Defense

The minimum credit requirements are as follows:

Individual programs may have higher standards and students are expected to know their program's requirements. See the  Doctor of Philosophy Requirements  website for more information about PhD milestones and related timelines.

The PhD student must complete:

• An approved MS program in computer science,
• A PhD credit requirement, and
• A graduate-level breadth requirement.
• Learn more about PhD degree plans .

Funding Opportunities

Many University-related and external funding options are available to graduate students. Accepted PhD students are automatically considered for Graduate Teaching Assistantships. Check out available CS department Graduate Research positions . In addition, find an extensive list of resources to aid students in finding additional funding  on the Michigan Tech Graduate School website.

I chose MTU for my graduate degree because of the great relationships I made with the professors in my undergrad. People actually care about you at MTU and you are not just a number. The welcoming environment at Computing[MTU] brings with it opportunities and a bright future.

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Gre prep online guides and tips, graduate school acceptance rates: can you get in.

Even the most qualified and confident applicants worry about getting into grad school. But don’t panic! Graduate school acceptance rates, which give the percentage of applicants that were admitted to a particular school or program in an academic year, can help you determine how likely you are to get into a given program.  But where can you find grad school admissions statistics?

In this article, we’ll first investigate the trends and factors associated with graduate school acceptance rates. Then, we’ll take a look at some of the current acceptance rates and give you expert tips on how to find acceptance rates for your programs. Finally, we’ll show you how to determine your odds of getting into grad school.

Graduate School Acceptance Rates: Factors and Trends

Grad school acceptance rates are the same as any other acceptance rate: the lower the acceptance rate, the more selective the school or program is. Similarly, the higher the acceptance rate, the less selective the school or program is. As with undergrad acceptance rates, grad school acceptance rates vary widely, from extraordinarily selective (less than 5 percent) to incredibly lenient (nearly 100 percent).

Unlike undergrad rates, though, grad school acceptance rates are usually calculated for specific programs or departments and  not for entire universities. This is because with grad school, you are essentially applying to an individual program rather than an overall institution (as you did for undergrad).

Now that we’ve covered all of the basics, let’s look at a few key trends. Our research indicates there are three major factors that help determine grad school acceptance rates:

• School or program prestige
• Degree type
• Amount of funding

Let’s look at how each of these factors influences grad school acceptance rates.

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#1: School or Program Prestige

How prestigious a particular grad school or program is can affect its overall competitiveness and selectivity. In general, the more prestigious a program is, the more competitive it’ll be and thus the lower acceptance rate it’ll have.

An easy way to determine school or program prestige is to consult official rankings, such as those listed on  U.S. News . (Grad schools are typically ranked by field or program and   not by overall institution.)

For example, a 2017  U.S. News  list of the best political science grad programs  ranked Duke’s political science program at #7 and Northwestern’s at #23. Because both of the programs have fairly high rankings, it’s safe to assume they’re probably quite selective.

And this is true: in 2016,  Duke  reported a mere 10 percent acceptance rate to its political science doctoral program, while  Northwestern  reported a 12 percent acceptance rate.

#2: Degree Type

Another major factor is degree type. Generally,  doctoral programs tend to be more selective than master’s programs (though this isn’t always the case as I’ll explain in a moment). This trend is likely due to the fact that doctoral programs often look for higher-quality applicants with proven academic track records and more relevant experience in their fields.

For example, in 2016  University of Michigan’s math doctoral program  had a 17.2 percent acceptance rate, whereas its master’s program  had a much higher 31.8 percent rate. In this case, the doctoral program is clearly tougher to get into than the master’s program.

Still,   master’s programs can have lower acceptance rates than doctoral programs. If we were to take the University of Michigan’s grad programs in computer science and engineering, we’d find that the doctoral program has  a 15 percent acceptance rate  and the master’s  an even lower 8 percent acceptance rate .

Additionally, M.F.A. programs are particularly cutthroat. In 2015, the creative writing M.F.A. program at UT Austin’s James A. Michener Center for Writers only admitted 12 out of 678 applicants — that’s a mere 1.8 percent acceptance rate !

#3: Amount of Funding

Funding, too, plays a big role in how selective a grad program is.

Well-funded  programs typically receive more applications than those offering little to no aid, thereby raising their selectivity. Competition is especially fierce for fully funded programs — possibly because fewer people are willing to go into debt for grad school.

Compared to fully funded doctoral programs, fully funded master’s programs are somewhat rare and thus pretty competitive. UT Austin’s Creative Writing M.F.A. program, for instance, is not only a prestigious program but also one of the most well-funded Creative Writing M.F.A. programs in the country: it  offers full tuition remission and a $27,500 stipend per academic year . It’s no wonder, then, that its acceptance rate is below 2 percent!

What Are the Current Graduate School Acceptance Rates?

For this section, we’ve scoured the internet to bring you a robust assortment of acceptance rates for popular U.S. grad schools.

Before we dive in, note that not all institutions calculate grad school acceptance rates using the same methodologies. Some offer only a single acceptance rate for all of their grad schools put together, while others offer individual rates by school, field, or program.

Now, let’s see how selective these schools really are!

*Statistics for NYU are based on the number of enrolled students and not the number of admitted students. Therefore, expect actual acceptance rates to be slightly higher.

How to Find Graduate School Acceptance Rates: 4 Methods

Unfortunately, grad school admissions statistics tend to be more difficult to find than undergrad acceptance rates.  But there are ways to search for them — you just have to do a lot of digging and possibly a little reaching out.

Below are our top four methods for finding grad school acceptance rates for the programs you’re applying to.

#1: Consult School Websites

By far the most reliable resources for grad school admissions statistics are  school websites.

Start your search by consulting program and departmental pages, particularly admissions and FAQ pages. Look out for any statistics-related keywords or phrases, such as “admission(s) rates,” “acceptance rates,” “enrollment,” “facts and figures,” etc. Use ctrl+F to move swiftly through large chunks of text.

Not all schools publish grad admissions information online, and those that do don’t always report it in the same way as others. For example, Princeton offers a handy PDF  containing acceptance rates for all academic fields of study. On the other hand,  Notre Dame  gives separate admissions charts for each of its grad programs (which you can access by selecting a program and then clicking “Admissions Statistics”).

Additionally, many schools release admissions statistics without explicitly publishing acceptance rates.  In this case, it’s your job to take the statistics provided and use them to calculate an acceptance rate. To find the acceptance rate of a school or program, you’ll need the following information:

• The total number of applicants in a year
• The total number of applicants granted admission  that year

The acceptance rate equals the total number of applicants offered admission divided by the total number of applicants and then multiplied by 100, or:

$$\acceptance \rate = {\number \of \applicants \offered \admission}/{\total \number \of \applicants}100$$

Be sure to  avoid conflating the number of students who were  offered admission   with the number of students who accepted their offers of admission. These two concepts sound alike but are actually different. What you’re looking for is the first statistic — that is, the number of admitted students (regardless of whether they decided to enroll).

If you’re having trouble finding admissions statistics by browsing school websites, search on Google for “[Your School] graduate acceptance rate” and see if any relevant school pages appear. While searching for acceptance rates to use in the table above, I consistently swapped “acceptance rate” with similar phrases, such as “admission(s) rate,” “facts and figures,” “student statistics,” “admittance rates,” and “admission(s) statistics.”

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Don’t be afraid to get creative! You can also use phrases like “Ph.D. admissions statistics” or “master’s admissions statistics” to narrow your search even further. Try to think outside the box as you do your research. What are other ways people talk about acceptance rates?

#2: Check  U.S. News

If your school or program doesn’t offer any admissions statistics on its website, go to  U.S. News . This website offers official rankings of grad programs as well as lists of the most (and least) selective programs in various fields.

For example, I found a 2016 list of the most competitive online M.B.A. programs  and a 2015 list of the most competitive online graduate engineering programs .

If U.S. News doesn’t offer any relevant lists for you to use, try skimming the current grad school rankings to gauge how competitive your program is compared with others in the same field.

#3: Search Other Websites

One less reliable method for looking up grad school admissions statistics is to  look for (unofficial) websites discussing acceptance rates for your school or program.

The Grad Cafe’s  admissions results  section is a solid place to start. Here, applicants post whether they’ve been accepted, rejected, or waitlisted for grad programs.

Search for your program to get a rough feel for how many acceptances and rejections go out each year. You might notice that certain types of applicants are more active than others. Creative Writing M.F.A. applicants, for example, are prolific posters in winter and spring (during admissions season).

Occasionally, Google itself will provide you with grad school acceptance rates, but this only appears to work consistently for well-known law schools, medical schools, and business schools.

Additionally, while using Google, don’t assume that any acceptance rates that pop up are directly connected to your search terms. For example, when I searched “stanford graduate acceptance rate,” Google gave me this result:

This 4.8 percent acceptance rate is  not  the acceptance rate for Stanford’s grad programs (what I searched for) but rather the acceptance rate for undergrads. So always cross-check any statistics Google gives you.

You can also consult grad school data websites such as  Peterson’s and StartClass . Take their grad school acceptance rates with a grain of salt, though — their data isn’t always verifiable online. If possible, try to compare any data you find on these types of websites with the school websites themselves or U.S. News .

#4: Contact Schools

If the internet isn’t giving you the help you need, call or email your schools. Be polite but upfront: ask whether the school calculates acceptance rates for grad programs and where you can find this information online (if available).

If a school refuses to divulge admissions statistics or simply doesn’t report acceptance rates, see if they can give you estimates for how many applications they receive each year, or for how many acceptances they usually extend to applicants in your program.

Graduate School Acceptance: What Are Your Odds?

By this point, you might be wondering how likely it is you’ll actually get into the grad program you wish to attend. After all, acceptance rates are pretty broad — they tell you what everyone’s odds are but not your odds specifically.

Below are three easy steps for determining your odds of getting into grad school, including advice on when it’s better to go for it or choose another program.

Step 1: Check Program Requirements

First, go to your program’s website and pinpoint the admissions requirements page. Now, ask yourself:  do you meet all of the program’s basic requirements? If not, you’ll likely wind up with a rejection (and might not even be able to apply).

However, if you’re still interested in applying, contact the program and ask if they’ll make an exception for you. Your chance of getting accepted is still low, but you’ll at least have your application considered.

If your program strongly recommends qualities you lack, don’t interpret this as an automatic rejection. Sometimes, applicants can make up for deficiencies in other ways. For example, if your undergrad GPA is 3.1 and your program recommends applicants have a minimum 3.2, don’t write off the program — you might still have a shot at getting in as long as the rest of your application is solid.

On the other hand, even if you meet all of a program’s requirements, you’re not necessarily a shoo-in. Remember, all other applicants have met these requirements, too, so you’ll need to find a unique way to make your application stand out.

Step 2: Find Average GRE Scores and GPAs

Your next step is to look up your program’s average GRE scores and GPA  to see how your own scores and GPA compare with those of previously admitted applicants.

You can usually find GRE score information on admissions requirements or FAQ pages. You can also search on Google for “[Your School] [Your Program] average GRE scores.” For step-by-step instructions on how to find average GRE scores, check out  my article on average GRE scores by school .

For GPAs, you can use the same basic methodology. Check admissions requirements and FAQ pages and use ctrl+F to search for “GPA.” If GPA information is available, you’ll most likely come across minimum GPAs or average GPAs (or both). For more tips on how to find GPA information for your grad schools, read our guide .

Now, compare your own GRE scores and GPA with the averages you’ve found. Below are all possible scenarios and what they mean for you and your odds of getting into the program:

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• Your GRE scores and GPA are both  higher than your program’s averages:  Congratulations! You have an excellent chance of getting accepted, especially if the rest of your application is equally impressive. Keep up the great work!
• Your GRE scores and GPA are both  about the same as your program’s averages:  You’re doing pretty well! You are just the type of applicant your program is looking for. The only drawback is that you probably won’t stand out as much from other applicants who have similar GRE scores and GPAs. So take time to make your application sparkle (I’m looking at you, statement of purpose).
• Your GRE scores and GPA are both lower than your program’s averages (or just one of the two is lower):  It ain’t over ’til it’s over! You can still make up for your deficiencies in other ways. While you can’t change your GPA, you can retake the GRE . If your GPA is low, a great strategy for combating this is to discuss it in your statement of purpose, taking care to highlight any external factors that contributed to the low GPA as well as any attributes of yours that prove you’re indeed ready for grad school.

Step 3: Decide Whether to Apply

Now, we get to the final question: do you apply to the program or not?  This is a vague question that’s difficult to answer as is. The real questions you should be asking yourself are as follows:

• Do I meet all of the program’s basic requirements?
• Do I meet most or all of the program’s expectations of applicants (in terms of GRE scores, GPA, etc.)?
• Is the program’s acceptance rate extremely low?
• Do I really like this program?

Although acceptance rates and GRE/GPA comparisons are helpful, don’t base your decision to apply solely on how difficult the program is to get into. We can’t know for sure what kind of applicant a grad program is looking for or who they’re willing to make an exception for.

Take a moment to think deeply about how interested you are in this particular program. Be realistic about your chances of getting in — but don’t cross the line into pessimism. If you don’t meet most or all of a program’s expectations and you’re not super invested in it, consider applying elsewhere.

But if you meet some, most, or all of a program’s expectations and you’re extremely interested in enrolling, give the application a go. Remember, it’s totally normal (and even encouraged) to have a few reach schools. Plus, you’ll never get in if you don’t apply!

Key Takeaways: Graduate School Acceptance Rates

Grad school acceptance rates quantify for us the selectivity of grad schools and programs. More specifically, acceptance rates tell us  what percentage of applicants were offered admission to a particular grad school or program. 

With grad school, acceptance rates are often reported for individual schools or programs,  not  entire universities. Acceptance rates can vary widely depending on program prestige, the type of degree you’re seeking, and how much (or how little) funding a program offers.

Unlike undergrad acceptance rates, grad school acceptance rates are somewhat difficult to locate online. You can look for them using any of the following four methods:

• Peruse school websites
• Check grad school facts and lists on  U.S. News
• Browse other websites and forums such as The Grad Cafe
• Call or email your schools

When trying to determine your  odds of getting into a program, look at your program’s requirements as well as the average GPA and GRE scores of previously admitted applicants to your program. If your GRE scores and GPA are comparable to those of your program, you have a decent shot at getting accepted. If one or both are lower than your program’s averages, however, you can always try to  raise your GRE score  with a retake or address your GPA in your statement of purpose.

At the end of the day, what ultimately matters isn’t that you get accepted to a highly competitive grad program but that you make the right decision for you and you alone!

What’s Next?

Need help with your grad school application?  Learn about the most common grad school requirements  and get tips on how to write a grad school CV or resume !

Is your GPA good enough for grad school ?  Read our in-depth guide to learn how you can make up for a less-than-stellar GPA and ultimately raise your chances of getting into the school of your dreams.

Do you have to take the GRE for grad school ? When are grad school deadlines ?  Check out our guides for answers to these questions and more.

Ready to improve your GRE score by 7 points?

Author: Hannah Muniz

Hannah graduated summa cum laude from the University of Southern California with a bachelor’s degree in English and East Asian languages and cultures. After graduation, she taught English in Japan for two years via the JET Program. She is passionate about education, writing, and travel. View all posts by Hannah Muniz

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The Rackham Graduate School and the graduate program work as a team to manage the application review process. As an applicant, you will be interacting with both offices.

Applicants must first consult the program website for degree options and specific requirements for admission. The program website is the official source of information for application requirements. Programs establish their own requirements and timeline for the application review. If the graduate program website is different from Rackham’s website, follow the graduate program’s website instructions. Review the Programs of Study page for program website and contact information , including dual degree and certificate options.

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While reviewing applications, we never decide based on single data points: we always consider the applicant as a whole. While high test scores can help in consideration, we focus on those we feel would be a good match at Michigan.

An engineering background is recommended but not required for the Robotics Program, although we have found that the lack of an engineering background puts students at a disadvantage as they begin their graduate studies. In general, our Admissions Committee is most interested in undergraduate and graduate academic performance, research experience, letters of recommendation (with particular attention to letters coming from faculty in relevant fields) and the academic statement of purpose.

Admission to the graduate program is determined by the faculty. The Rackham Graduate School acts as the administrative body overseeing the admissions process.

If at any point in the application and admissions process you require help or clarification, please contact our Student Services Office at [email protected].

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After you have created an account, review the Rackham Graduate School Application Checklist .  

The items needed in order for your application to be considered complete are:

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Graduate applications are accepted for the fall term only and is currently open for submission. Applications must be complete by the deadline, applications received after the deadline will not be considered . All materials are due as follows:

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Typically, admission decisions will be rolling with the notification goals noted below:

• Early- to mid-March:  Ph.D. admission/financial aid offers are sent via e-mail to applicants.
• Mid-March:  MS admission offers are sent via e-mail to applicants.
• Early April:  Notifications to applicants who do not receive admission are sent.
• Final decisions on admission are typically made by April 15.
• If you are not accepted and you would like to apply for a future term, you must submit a new application.
• An application fee is required for each new application submission.

Please review  funding  for PhD and master’s students.

For applications for Fall 2023 and beyond, GRE scores will not be accepted with PhD applications. For applicants to the MS program, submitting GRE scores is optional. MS applicants are welcome to submit GRE scores, but they are not required to do so. Read more on GRE scores .

You may apply to an additional program after you have completed and submitted the application for one program – you cannot work on two applications at the same time.  You must submit the application, fee, and some required materials including online transcripts, and letters of recommendation for each program separately.  Any materials you upload with the online application must be uploaded with each application separately.  See the Rackham website for additional details.

• You may defer your admission for up to one year under the following circumstances: medical emergency, family emergency, delay or denial of a visa, or a natural disaster (earthquake or hurricane).
• If your circumstances meet these criteria, please prepare a request to defer admission along with an explanation for the request.
• You may request admission deferral after your admission has been finalized by the Rackham Graduate School.

Graduate credits may be transferred to Master’s degree programs only. Generally, up to 6 credits may be transferred, providing they meet program requirements. Please refer to the Rackham Graduate School Transfer of Credit Policy for regulations for transfer of credit into the Master’s degree program.

If you need to determine your residency status, please see the Residency Clarification Guidelines , at the Registrar’s website. 

If you are a current Rackham graduate student at the University of Michigan, you may apply to change from one graduate program to another within the Graduate School.

Master’s vs. PhD

• Apply to the master’s program if you plan to end your studies at the master’s level.
• Apply to the PhD program directly if you plan to pursue a PhD (If you do not currently hold a relevant master’s degree, you will earn it during the first two years of the PhD program.)
• NOTE: PhD applicants that are better suited to the master’s program are automatically given some consideration for the MS program as well.
• All PhD admissions come with guaranteed funding subject to a student meeting their program deadlines. Funding includes tuition, monthly stipend, and health insurance. This funding can take the form of fellowships, research assistantships (typically to support research with specific faculty members), or teaching assistantships.
• Masters students are eligible for the same sources of funding as PhD students, however funding is not guaranteed .

PhD applicants

If you are applying to the Ph.D. program, we recommend that you contact faculty whose research is of interest to you. In addition to the quality of your application, our Admissions Committee takes into account the abilities of our faculty to mentor additional students in their labs. A Ph.D. applicant will only be admitted if there is a match of interest with faculty member(s).

In addition, we hold an invitation-only Visit Day for PhDs, however:

• we are only able to invite prospective students who live in North America due to travel costs.
• we cannot allow prospective students to pay their own way to attend Visit Day, but they can arrange a campus visit at any other time.
• it is meant to be a two-way communication experience for both the student to consider Michigan and for us to consider the student. 
• visitors will have the opportunity to meet with several faculty of interest.
• most PhD offers will come from Visit Day, while other offers are driven by faculty interest.

Common questions

An engineering background is recommended but not required for admission into our program, with many students coming from mechanical engineering, electrical engineering, and computer science.

In general, our admissions committee is most interested in academic performance, research experience, letters of recommendation, and the academic statement of purpose. 

No. If we are not able to admit you to our PhD program, you will automatically be considered for admission into our master’s program.

It typically takes 3-4 (Fall/Winter) semesters to complete the degree but depends on how many credits are taken per term.

For applications for Fall 2023 and beyond, GRE scores will not be accepted with PhD applications. Applicants to the MS program are welcome to submit GRE scores but they are not required to do so.

The PhD application deadline is December 1, and the master’s application deadline is January 15.

If you have questions about applying to our program or about Michigan Robotics in general, please contact:

Robotics Student Services Office [email protected]

Additional information on criteria for admissions and degree programs is available on the Rackham Admissions site .  

Electrical Engineering and Computer Science (EECS)

The EECS Department is one of the leading departments of its kind in the nation. Our excellence and impact comes through in the work of the two departmental divisions: Computer Science and Engineering; and Electrical and Computer Engineering. In our unique structure, we have two Chairs, one for each division.

Computer Science and Engineering (CSE)

Home of one of the oldest and most respected programs in computation in the world, CSE is known for its engaging academics and high-impact interdisciplinary research. Our inclusive, supportive environment welcomes newcomers and underrepresented groups into this exciting discipline.

Explore CSE >

Electrical and Computer Engineering (ECE)

ECE faculty and students are powering innovation by revolutionizing technologies to improve healthcare, the environment, sustainability, security, energy, transportation and space. All ECE programs, undergraduate and graduate, are ranked in the top 10 in the nation.

Explore ECE >

EECS at Michigan

Established. Respected. Making a world of difference. EECS undergraduate and graduate degree programs are considered among the best in the country. Our research activities, which range from the nano- to the systems level, are supported by more than $75M in funding annually — a clear indication of the strength of our programs and our award-winning faculty. With this combination of great resources and talent, EECS at Michigan is transforming and improving a wide range of fields that touch all of our lives.

Undergraduate Programs

Computer science & engineering.

BSE, Computer Engineering >

BSE, Computer Science >

BS, Computer Science (LSA) >

BSE, Data Science >

BS, Data Science (LSA) >

Minor, Computer Science >

Electrical & Computer Engineering

BSE, Electrical Engineering >

Minor, Electrical Engineering >

Graduate Programs

PhD, Computer Science & Engineering >

MS/MSE, Computer Science & Engineering >

MS, Data Science (LSA) >

Grad programs and Admissions in ECE >

PhD, Electrical & Computer Engineering >

MSE, Electrical & Computer Engineering >

MEng, Electrical & Computer Engineering >

News and Events

CSE News >

CSE Events >

ECE News >

ECE Events >

Tools for “more humane coding”

Prof. Cyrus Omar and PhD student David Moon describe their work to design more intuitive, interactive, and efficient coding environments that can help novices and professionals alike focus on the bigger picture without getting bogged down in bug fixing.

Snail extinction mystery solved using miniature solar sensors

The World’s Smallest Computer, developed by Prof. David Blaauw, helped yield new insights into the survival of a native snail important to Tahitian culture and ecology and to biologists studying evolution, while proving the viability of similar studies of very small animals including insects.

CSE Events > ECE Events >

Hacked voting machine donated to Henry Ford museum

The machine was used by Prof. J. Alex Halderman for election cybersecurity research, and in a demonstration during which then-Senator Kamala Harris voted on it.

Maggie Makar receives Google Research Scholar award for work on causally motivated … AI models

The award will support Makar’s work to develop machine learning models that leverage causal reasoning to detect and manage chronic pain.

Welcome to our new faculty (2024-2025)

Welcome to ECE’s five new faculty members, bringing expertise in the areas of computer vision, cyber-physical systems, machine learning and AI, energy storage, HCI, and personalized medical…

CSE News > ECE News >

EECS By the Numbers

The Doctoral Degree in ECE

PhD Program Coordinator

KRISTEN THORNTON [email protected] 3403 EECS 734-647-1758 Graduate Student Advising >

Documents + Forms

ECE Grad Handbook> ECE Program Manual > EE Manual (Fall 2015 or earlier)> EE:Systems (Fall 2015 or earlier) > Thesis Proposal Instructions > Thesis Proposal Form >

Deadlines and Additional Info

EECS Drop Deadlines > Candidacy Deadlines > Rackham Doctoral Degree Info > UMich Academic Calendar >

Plan of Study

Completing a Plan of Study form allows you to plan your courses to make sure you meet all the degree requirements. As you complete the form, please refer to the following information:

• All degree requirements must be letter graded (A-E) courses except for the “total credits” and “optional” degree requirements.
• Technical courses are engineering, math, statistics, and science courses.
• Entrepreneurship courses and AERO 585 are not technical courses.
• Math 404, 417, 425, 448, 450 or their cross-listed classes
• CPT credit (ENGR 998)
• ELI courses
• Courses with number 990, 995 or other course with “doctoral,” “dissertation,” or “preliminary” in the title

Qualifying Exam Information

You must apply prior to the examination date .

Deadline for application for ECE:

• August 8, 2024 for September 2024 Qualifying Exam 
• November 22, 2024 for January 2025 Qualifying Exam 
• April 11, 2025 for May 2025 Qualifying Exam

Application instructions will be emailed to you from the ECE Graduate Coordinators approximately 1 month before each deadline. 

September 2024 Quals : September 3 – September 23

January 2025 Quals : January 09 – January 27

May 2025 Quals : May 5 – May 23

Requirements

Step 1:  Complete coursework

• Refer to the graduate manual for course requirements.

Step 2:  Take and pass Qualification Exam

• Qualifying Exam Dates
• Qualifying Exam Guidelines

Step 3:  Advance to Candidacy

• Candidacy Deadlines
• Review ECE Graduate Manual for requirements

Step 4:  Complete Thesis Proposal

• Thesis Proposal Instructions
• Thesis Proposal Form

Step 5:  Complete Dissertation

• Degree/Defense Deadlines
• Dissertation Timeline
• Completing the Doctoral degree requirements

The complete doctoral requirements can be found in the program guide. See the Rackham Doctoral Degree Policies for more info.

Continuous Enrollment

In order to encourage timely completion of the degree, University policy requires doctoral students to register every Fall and Winter term until their degree is completed, with very few exceptions. That is, doctoral students cannot take time off from their studies, or pursue the later stages of their degree without registering, except in special circumstances.

In this section

• Undergraduate Programs
• Graduate Programs
• Graduate Student Instructors
• Laboratories
• Message from the Chair

MS in Computer and Information Science

About the program.

The Computer and Information Science master's degree program is designed to prepare students for professional practice, as well as further studies and research in the computing field. The program offers a 30-credit hour curriculum consisting of required core courses and technical electives.

The department schedules all CIS courses during late afternoons or evenings to enable students to earn their master's degree through part-time study. The program may be completed entirely on campus, entirely online, or through a combination of on-campus and online courses.

All courses have access to a wide variety of computing resources: local area networks, as well as the Game and Multimedia Environment Laboratory.

Depending on the option chosen, the program requires students to take four courses from two of the seven following specialization areas: computer graphics, geometric modeling and game design; computer networks and security; database management and analytics; software engineering; systems software; and web computing.

Students with an interest in pursuing doctoral studies or working in a research and development environment are encouraged to elect the thesis option.

For general program information and questions please contact the Program Coordinator: Kimberly LaPere ( [email protected] ) . For specific curriculum questions, please contact the program director:   Dr. Jinhua Guo (jinhua@ umich.edu).  If you have questions about the application process, deadlines, tuition, scholarships and assistantships, and other questions please contact the Office of Graduate Studies ( [email protected] ) .

Program Details

Learning goals.

• Students will be able to identify, explain, and apply knowledge of mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.
• Students will be able to analyze a CIS problem and identify and define the computing requirements appropriate to its solution.
• Students will be able to design, implement and evaluate a computer-based system, process, component, or program to meet desired needs.
• Students will be able to apply design and development principles in the construction of computer-based systems of varying complexity.
• Students will be able to compare various research contributions and communicate effectively as researchers and/or practitioners.

Eligibility Requirements

Applicants for the ms in cis are required to meet the following requirements:.

A bachelor's degree from an accredited institution with a grade point average of "B" or better. Applicants who do not meet the minimum GPA requirements may be offered admission. Admission in such cases will depend heavily on other indices of the student's ability to handle graduate-level work. These might include strong performance on standardized tests, GPA in the major, and/or other experiences that are clearly indicative of strong academic ability.

Preference will be given to students with a background in Computer and Information Science and Computer Engineering.

Satisfactory completion of the following:

• Calculus I & II
• One course in probability and statistics or linear algebra)
• Programming Language (Preferably C/C++ I & II)
• One course in data structures with algorithm analysis
• One course in computer architecture
• One course in operating systems

International applicants, applicants whose native language is not English or who have received their bachelor's or master's degree from outside the United States, Australia or England please refer to the following  English Proficiency requirements.

Applicants who lack eligibility requirements in coursework have the opportunity to make up the deficiencies by completing appropriate courses within two years from the date of entrance. These courses may not be used to satisfy degree requirements. There is also an option to do the required coursework through the Personal Enrichment Program at undergraduate rates. Applicants can inquire about the Personal Enrichment Program through the University of Michigan-Dearborn Undergraduate Admissions Office (1145 UC, 313-593-5100).

MS CIS Course Prerequisites

Cis 310 - computer organization.

• Prerequisite:  MATH 115 and (CIS 200 or IMSE 200) and CIS 275
• Description:  The architecture of computer systems and associated software. Topics include digital logic circuits, computer interfacing, interrupt systems, input/output systems, memory systems, assemblers, assembly language programming, and computer networks. (4 credits)

CIS 350 - Data Structures and Algorithm Analysis

• Description:  A focus on data and algorithm design. Data design topics include object-oriented discussions of hashing, advanced tree structures, graphs, and sets. Algorithm design topics include the greedy, divide-and- conquer, dynamic programming, backtracking, and branch-and-bound techniques. A significant discussion of algorithm complexity theory, including time and space trade-offs and elementary computability theory, is included. (4 credits)

CIS 450 - Operating Systems

• Prerequisite:  IMSE 317, (CIS 350/3501 or IMSE 350 or (ECE 370, ECE/MATH 276, (ECE 372 or ECE 375))).
• Description:  The study of operating systems as managers of computing resources. Management of CPU, memory, and devices. Case studies of popular operating systems. (4 credits)

IMSE 317 - Engineering Probability and Statistics

• Prerequisite:  One year of calculus
• Description:  Set theory, combinatorial analysis, probability and axioms, random variables, continuous and discrete distribution functions, expectations, Chebychev's inequality, Weak Law of Large Numbers, Central Limit Theorem, sampling statistics and distributions, point and interval estimation, and linear regression. (3 credits).

To satisfy the requirements for the MS degree in Computer and Information Science, all students admitted to the program are expected to complete thirty semester hours of graduate coursework, with a cumulative grade point average of B or better. The program of study consists of core courses, electives, and the coursework/project/thesis option.                                                                                                                                                                                                                                                           

Please contact the Computer and Information Science Department about the policy on the minimum grade for a course to satisfy graduation requirements .

The 30 semester hours of required coursework are distributed as follows:

Core Courses

All students are required to take one course from each of the following categories:

• CIS 505 - Algorithm Design and Analysis
• CIS 535 - Wireless Technologies and Pervasive Computing
• CIS 527 - Computer Networking
• CIS 544 - Computer and Network Security
• CIS 574 - Compiler Design
• CIS 578 - Advanced Operating Systems 

Specialization Areas

Under the Project Option, students must take four courses from two of the specialization areas below. Under the Thesis Option, students must take two courses from one specialization area and one elective course.

Computer Graphics, Geometric Modeling, and Game Design

• CIS 505* - Algorithm Design and Analysis
• CIS 515 - Computer Graphics
• CIS 551 - Advanced Computer Graphics
• CIS 552 - Information Visualization and Virtualization
• CIS 5570 - Introduction to Big Data
• CIS 587 - Computer Game Design and Implementation I
• CIS 588 - Computer Game Design and Implementation II
• CIS 652 - Advanced Information Visualization and Virtualization

Computer Networks and Security

• CIS 527* - Computer Networks
• CIS 537 - Advanced Networking and Distributed Systems
• CIS 540 - Foundation of Information Security
• CIS 544* - Computer and Network Security
• CIS 545 - Data Security and Privacy
• CIS 546 - Security and Privacy in Wireless Networks
• CIS 548 - Security and Privacy in Cloud Computing
• CIS 549 - Software Security
• CIS 559 - Principles of Social Network Science
• CIS 569 - Wireless Sensor Networks
• CIS 571 - Web Services
• CIS 584 - Advanced Computer and Network Security
• CIS 624 - Research Advances in Computer and Network Security
• CIS 647 - Research Advances in Networking and Distributed Systems

Data Management and Analytics

• CIS 511 - Natural Language Processing
• CIS 534 - The Semantic Web
• CIS 536 -Text Mining and Information Retrieval  
• CIS 555 - Decision Support and Expert Systems
• CIS 556 - Database Systems
• CIS 562 - Web Information Management
• CIS 568 - Data Mining
• CIS 5700 - Advanced Data Mining
• CIS 579 - Artificial Intelligence
• CIS 581 - Computational Learning
• CIS 582 - Trustworthy Artificial Intelligence
• CIS 583 - Deep Learning
• CIS 585 - Advanced Artificial Intelligence
• CIS 586 - Advanced Data Management Systems
• CIS 658 - Research Advances in Data Management Systems
• CIS 679 - Research Advances in Computational Game Theory and Economics

Information Systems

• CIS 511 - Natural Language Processing
• CIS 536 - Text Mining and Information Retrieval 
• CIS 550 - Object-Oriented Programming
• CIS 554 - Information Systems Analysis and Design
• CIS 564 - Principles of Organizational Information Systems
• CIS 572 - Object-Oriented Systems Design

Software Engineering

• CIS 525 - Web Technology
• CIS 535* - Wireless Technologies and Pervasive Computing
• CIS 549 - Software Security
• CIS 553 - Software Engineering
• CIS 565 - Software Quality Assurance
• CIS 566 - Software Architecture and Design Patterns
• CIS 575 - Software Engineering Management
• CIS 577 - Software User Interface Design
• CIS 580 - Data Analytics in Software Engineering
• CIS 678 - Research Advances in Software Engineering 

Systems Software

• CIS 512 - Introduction to Quantum Computing
• CIS 550 - Object-Oriented Programming and Its Applications
• CIS 574* - Compiler Design
• CIS 578* - Advanced Operating Systems
• CIS 589 - Edge Computing
• ECE 554 - Embedded Systems

Web/Cloud Computing

• CIS 536 - Text Mining and Information Retrieval  
• CIS 624 - Research Advances in Computer and Network Security*

*May not be used as specialization course if counted as core course.

Cognate Courses

Students can take any graduate-level courses approved by the student's advisor, as described in the requirements for graduation (excluding ENGR 500 and ENGR 501).

Coursework Option

Students must take a cis elective course for 3 credit hours..

Core courses - 9 credit hours Two specialization areas - 12 credit hours Cognate courses - 6 credit hours CIS elective course - 3 credit hours

Project Option

Students must take cis 695, master's project, for 3 credits..

• Core courses - 9 credit hours
• Two specialization areas - 12 credit hours
• Cognate courses - 6 credit hours
• Project - 3 credit hours

Thesis Option

Students must take a cis elective course for 3 credits and cis 699, master's thesis, for 6 credits..

• One specialization area - 6 credit hours
• CIS elective course - 3 credit hours
• Thesis - 6 credit hours

Related Resources

• Current Students
• Graduate Catalog
• CECS Graduate Education Office
• Office of Financial Aid

Computer and Information Science

• Report Sexual Misconduct, Discrimination and Harassment
• My UM-Flint Portal

Doctor of Philosophy in Computing

Prepare for a Rewarding Career in Computing Research and Academia

Established in a tradition of academic excellence, the University of Michigan-Flint’s Doctor of Philosophy in Computing program supports your growth as a leader and innovator in the computer science field. 

With a highly integrative approach and a strong emphasis on research, our doctoral degree in computing program creates a learning experience that cultivates problem-solving and leadership development. Additionally, the degree program is rigorous in nature and designed to be completed at a full-time pace and entirely on campus . Upon completing your doctorate, you emerge into the workforce, ready to become a world-class researcher, educator, or industry expert . Join our expanding community of dedicated scholars and researchers and make meaningful contributions to the ever-evolving computing discipline.

Follow Grad Programs on Social

On this Page

• Program Highlights
• Computing Curriculum 
• Career Outlook
• Admission Process and Requirements

Application Deadlines

Why earn your phd in computing degree at um-flint, diversify your skills to pursue a range of career paths.

In our PhD in Computing program, you undergo intensive training to develop a versatile and in-demand skill set, which helps you pursue a successful career trajectory.

Upon completing the doctoral program, you will be well prepared to assume leadership roles in academia, where you play a part in shaping the future of computer science and inspire students along their academic journey. Or, if you prefer, you take an alternative path and seek employment in the tech industry to spur innovation. 

Build Your Original Academic Research

In the PhD program, you collaborate with our distinguished College of Innovation and Technology faculty members on research projects that align with your personal scholarly and professional interests. This also allows you to begin building your body of original research and publications and establish yourself as a well-respected, innovative scholar in the field.

Additionally, as part of the world-renowned University of Michigan community, you have full access to the breadth of academic and research resources at the Flint, Dearborn , and Ann Arbor campuses.

Receive Full Funding for Your PhD

UM-Flint is committed to making graduate education affordable and supporting you along your doctoral journey. Our PhD in Computing program adheres to the CIT full-funding model for PhD students for up to five years. When accepted into the program, you receive full funding as a Graduate Student Instructor, Research Assistant, or a combination of both , which covers a monthly stipend, health insurance, and tuition waiver.

Funding is guaranteed based on continued good academic standing and adequate progress toward the PhD degree. Because of this guaranteed funding, the PhD in Computing program is only open to full-time students with the capacity for regular on-campus presence. Read our overview of UM-Flint’s GSRA qualifications and eligibility requirements .

Want to Learn More About Pursuing Your PhD in Computing? Request More Information to Receive Program Details!

Phd in computing program curriculum.

At UM-Flint, we created our Doctor of Philosophy in Computing program curriculum to challenge your technical knowledge, elevate your competencies and analytical skills, and shape you into an accomplished scholar. 

The number of content coursework credits you take depends on your previous academic experience. The program curriculum requires at least 38 credits of coursework beyond the bachelor’s degree. If you enter the doctoral program with a bachelor’s degree, you must complete all 38 credit hours of coursework. However, if you hold a master’s degree, you only need to complete 24 credits. Furthermore, if your master’s degree is from the University of Michigan Rackham Graduate School or UM-Flint, you are only required to complete eight credit hours of content coursework.

Besides the diverse range of coursework, our PhD program is research-oriented, meaning we evaluate your academic performance primarily based on peer-reviewed publication capability and output. You must earn 25 credits of research coursework dedicated to your research preparation and your dissertation. Additionally, we expect you to publish peer-reviewed journals and articles stemming from your dissertation research.

Doctoral Program Milestones

With the support of your selected research advisor and a dissertation committee, you must pass the following major milestones:

• Identifying the faculty advisor and research topic
• Completion of required coursework
• Passing the qualifying examination consists of two parts:
• Curriculum exam
• Research proficiency exam
• Advancement to candidacy
• Forming the dissertation committee
• Passing the dissertation proposal examination
• Completion of required research credit hours
• Preparation of a written dissertation and its oral defense

Review the Computing (PhD) program curriculum and course list .

Academic Advising

UM-Flint proudly offers expert academic advisors to guide your educational journey toward achieving a PhD degree in Computing.  To learn more about our doctoral program, please contact the program director, Doug Zytko, at [email protected] .

Career Outlook for Computer Scientists

As technology rapidly evolves and our societies become increasingly computerized, the fundamentals of how computing industries design, produce, and deliver products and services to their customers are changing. Such changes create a significant need for computer scientists with advanced knowledge of data management, data science, systems, security, and software engineering.

Likewise, manufacturers and service industries in Michigan and around the nation also recognize this current shift. In response, they encourage their technical workforce to advance their knowledge, skills, and expertise in these areas through graduate-level education and training. For many such scientists and engineers, this means pursuing doctoral-level degrees that offer specialized instruction and research experience in computer and information science. 

With the quality of instruction you receive in UM-Flint’s PhD program in Computing, you can pursue careers in a variety of industries, including faculty positions in academia or as an industry researcher or applied scientist .

The Bureau of Labor Statistics (BLS) estimates that both career paths have a growing employment rate—university professors can expect their employment to increase by 8%, and computer scientists can anticipate an increase of 23%. Furthermore, both careers have earning potentials that exceed the national average. For professors, the median annual salary is $84,380, and for computer scientists, their salary averages $145,080.

Admission Requirements (No GRE Required)

To qualify for admission into the PhD in Computing program, you must meet the following requirements:

• Students from other areas who are accepted into the program and have an insufficient background in computing can be assigned remedial courses to complete.
• A minimum cumulative GPA of 3.2 or higher on a four-point scale for the BS degree and 3.5 or higher on a 4-point scale for the master’s degree.
• Calculus II
• Linear Algebra
• One course in data structures
• One course in computer organization
• One course in operating systems
• One course in programming
• One course in calculus-based probability and statistics.

Prior to applying to the doctoral program, we recommend that you speak with the director of the PhD in Computing program regarding your eligibility for admission. Please note: meeting the minimum admission requirements does not guarantee entrance into the program.

How to Apply to the Computing Doctoral Program

Due to its rigorous curriculum and competitive admission process, we strongly encourage you to connect with Doug Zytko , Director of the PhD in Computing program. During this meeting, you can discuss career and professional development goals to help determine if the doctoral program suits your academic and professional aspirations.

Additionally, you should meet with individual faculty members who may serve as dissertation chairs. This helps you connect with faculty members and determine who may share your research interests. If you need assistance identifying and contacting faculty members, please contact Doug Zytko.

Application Materials

To be considered for admission, submit the following to the Office of Graduate Programs:

• Application for Graduate Admission
• $55 application fee (non-refundable)
• Official transcript from the colleges or universities where you earned your degree(s) as well as any transcript that shows completion of prerequisite coursework. Please read our full transcript policy for more information .
• For any degree completed at a non-US institution, transcripts must be submitted for an internal credential review. Read the following for instructions on how to submit your transcripts for review .
• If English is not your native language, and you are not from an exempt country , you must demonstrate English proficiency .
• English Language Proficiency: Applicants who have earned or will earn a bachelor’s or master’s degree from an institution where the language of instruction is exclusively English are exempt from submitting an Official English Proficiency Score. All others must submit such a score. For more information, please review our required minimum overall scores .
• Three letters of recommendation, at least one of which must come from former faculty.
• Statements may be submitted online during the application process or emailed to [email protected] . 
• Students from abroad must submit additional documentation .

Please email all additional application materials to [email protected] or deliver them to the Office of Graduate Programs , located at 251 Thompson Library.

The PhD in Computing program is an on-campus program with in-person courses. As a new academic degree, this program is not currently accepting applications from international students seeking an F-1 visa. This program will accept applications from international students who are required to have an I-20 as soon as authorization from the Department of Homeland Security is received.

For other nonimmigrant visa holders currently in the United States, please contact the Center for Global Engagement at [email protected]  

The computing doctoral program only extends admissions offers for the fall and winter terms. If you are interested in applying for an upcoming class, please submit all application materials to the Office of Graduate Programs by 5:00 p.m. on the following application deadlines:

• April 1 (Fall)
• September 1 (Winter)

Achieve Your Highest Potential—Pursue Your PhD in Computing at UM-Flint

Embark on a rigorous academic journey that combines your passion for teaching and research and equips you to emerge as an expert in the tech field. By earning your Doctor of Philosophy in Computing degree from the University of Michigan-Flint, you undergo transformational training, acquire high-level research skills, and receive mentorship from leading experts. 

Take the next step toward becoming a scientist and an educator who leads, innovates, and inspires. Begin your UM-Flint application today ! If you have more questions about the graduate program, request more information .

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Master’s in CSE

The master’s degree in CSE is primarily intended for students desiring to substantially advance their knowledge and skill in a field or fields of CSE. The relatively small investment in time to get a master’s degree will lead to greater professional opportunities and significantly higher salaries (see Michigan Engineering employment data ).

Program overview

The master’s degree requires successful completion of 30 credits of coursework. A thesis is optional. Students normally complete the master’s degree in 1-2 years.

The complete master’s requirements can be found in the  CSE Graduate Program Guide (Google Doc) .

View a list of courses that satisfy the different MS degree requirements (Google Sheet) .

Students admitted to the master’s program may apply to the doctoral program. Admission depends on academic qualifications as well as the availability of openings in the doctoral program.

MS vs. MSE degree

The MS (Master’s of Science) and MSE (Master’s of Science in Engineering) degrees differ mainly in name. The degree requirements are the same. Students with a bachelor’s degree in engineering can elect either degree. Students without an engineering bachelor’s degree are eligible only for the MS.

Transferring credits

A limited number of graduate credits earned elsewhere can be transferred to meet the coursework requirements for the master’s degree. In addition, a course taken elsewhere that is equivalent to a course satisfying a degree requirement here can be used to satisfy the requirement, even if course credits are not transferred. However, such equivalancy will not reduce the total number of credit hours required.

Apply to a Master’s program

This page has information about graduate school admissions .

Financial aid information

The CSE Division has limited financial aid to award to master’s students at the time of application. On the other hand, master’s students occasionally receive a research or teaching assistantship after they begin their studies. Master’s students are encouraged to apply for fellowships from sources outside the University. See an overview of financial aid resources .

Graduate programs staff

Contact us with any questions about Computer Science and Engineering graduate programs.

[email protected]