computer science phd uah

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Undergraduate studies, main navigation, computer science, program description.

Computer scientists write software, create applications for phones and websites, and also engineer human-computer interfaces. Ultimately, computer science uses technology to solve problems and make life easier. If you want to enhance your programming skills, work to create exciting new technologies, and learn more about the place computing has in society, consider studying computer science. The University of Utah’s Computer Science program consists of courses in object-oriented programming, discrete mathematics, software engineering, computer organization, algorithms and data structures, software systems, and theory. Advanced courses in theoretical computer science, scientific computing, artificial intelligence, databases, operating systems, computer networks, programming languages, graphics, computer architecture, and digital design are also available as electives. The program’s culminating experience is a capstone, taking the form of a thesis or research project. For students seeking to enter gaming and animation, the program also offers an emphasis in Entertainment Arts & Engineering .

The Student Experience

To supplement your academic endeavors, consider gaining work experience as a teaching assistant, or join a computer science club: Women in Computing, Robo-Utes, and the Association for Computing Machinery all provide students with networking and involvement opportunities. Students are also encouraged to complete undergraduate research projects or internships that will allow them to pursue an individual interest area and develop their professional skills.

Career Opportunities

The U’s computer science alumni have found employment as software developers, software engineers, java programmers, and mobile software and applications developers. Students can additionally find employment in database design and administration, systems analysis, web development, and human-computer interaction. Graduate programs in computer science, engineering, information systems, and other sciences are also possible.

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Exploratory Classes

• CS 1400 - Intro to Computer Programming
• CS 1420 - Accelerated Introduction to Object-Oriented Programming
• ENGIN 1022  - Survey of Engineering

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MS and PhD degrees through at the School of Computing can be obtained in two programs: the Computer Science Program, and the Computing Program .

The computing program is made up of a series of tracks that correspond to a specific specialization. The computer science program aims to educate students in theory, systems and hardware, but gives students a lot of flexibility beyond the required courses. Note that the computer science program has no tracks. All programs and tracks, except for the Secure Computing Track, can be taken by both, MS and PhD students. The Secure Computing Track is only available for MS students.

Requirements and Administration

Director of Graduate Studies : Alexander Lex Associate Director of Graduate Studies : Kate Isaacs Contact: [email protected] (This e-mail is only for students already in the program; for admissions-related questions, please write to the graduate admissions e-mail: [email protected] .) 

Graduate Advisors: Jill Wilson (responsible for students with last names A-J ) , Allen Hill (responsible for students with last names K-Q ) , Sydnee Sartor (responsible for students with last names R-Z )

Contact: [email protected]   (This e-mail is only for students already in the program; for admissions-related questions, please write to the graduate admissions e-mail: [email protected] .) 

Director of Graduate Admissions : Ponnuswamy (Saday) Sadayappan Contact: [email protected]

The overall graduate program is administered by the Director of Graduate Studies (DGS), with support from the Associate Director of Graduate Studies (aDGS), and the graduate advisors.

The computer science program and the different tracks are administered by a program director (for the CS program) and track directors (for all computing tracks). These directors are usually responsible for any issues related to a student’s program of study.

Graduate Handbooks

The requirements of the degree program are set by the Graduate Student Handbook. The handbook is updated every year; the handbook of a particular year is valid for the students entering the program in that year.

• Handbook 2023-2024 ( PDF ),
• Handbook 2022-2023 ( PDF ),
• Handbook 2021-2022 ,
• Handbook 2020-2021 ,
• Handbook 2019-2020 ,
• Handbook 2018-2019 ,
• Handbook 2017-2018 ,
• Handbook 2016-2017 ,
• Handbook 2015-2016 .

Even older handbooks are archived .

Computer Science Program

Director: Haitao Wang – [email protected]  

The computer science program aims to educate students in three fundamental categories: theory, systems and hardware. It is made up of three required courses in these areas, which can also be substituted by courses from the same area. See the graduate handbook for details.

Computing Program

Students in the computing program have to choose a track of specialization. The school of computing currently offers the following computing tracks.

Artificial Intelligence

Track Director: Ana Marasović – [email protected] Track Faculty: Ziad Al-Halah, Aditya Bhaskara, Daniel Brown, Rogelio E. Cardona-Rivera, Shireen Elhabian, Anna Fariha, Tom Henderson, Tucker Hermans, John Hollerbach, El Kindi Rezig, Alan Kuntz, Varun Shankar, Vivek Srikumar, Shandian Zhe

Artificial Intelligence (AI) is a discipline that studies the theory and methods that underlie thought and intelligent behavior and their implementation in machines.  The full AI endeavor is multidisciplinary, encompassing the study necessary to understand and develop systems that can perceive, learn, reason, communicate, and act in the world.

The AI track is designed to train students to undertake research for advancing, applying, and governing this computing technology.

Computer Engineering

Track Director: Kobus Van der Merwe – [email protected] Track Faculty: Rajeev Balasubramonian, Erik Brunvand, Neil Cotter (ECE), Peter Jensen, Priyank Kalla (ECE), Sneha Kumar Kasera, John Regehr, Ponnuswamy (Saday) Sadayappan, Brent Stephens, Ken Stevens (ECE)

Computer Engineering is a discipline that combines elements of both Electrical Engineering and Computer Science. Computer engineers design and study computer systems at many levels from the circuits that make up computers, to the architecture of processors and subsystems, to the programming interfaces of those processors.

Data Management and Analysis

Track Director: Shandian Zhe – [email protected] Track Faculty: Aditya Bhaskara, Anna Fariha, Lajos Horvath (Math), Chris Johnson, Sneha Kumar Kasera, Mike Kirby, Marina Kogan, Alexander Lex, Braxton Osting (Math), Prashant Pandey, Valerio Pascucci, Bei Wang Phillips, Jeff Phillips, Vivek Srikumar, Blair Sullivan, Hari Sundar, Shandian Zhe

The rate at which scientists and businesses are producing data is increasing at a unstoppable rate. Being able to efficient process and make sense of such data has become a key scientific challenge in computer science. Not only must one be able to store such information compactly, but one additionally must develop algorithms to process it efficiently and intelligent systems that can reason about this data to find interesting patterns or make decisions. These topics form the core of the Data Management and Analysis track.

Graphics and Visualization

Track Director: Cem Yuksel – [email protected] Track Faculty: Martin Berzins, Kate Isaacs, Chris Johnson, Mike Kirby, Alexander Lex, Andrew McNutt, Valerio Pascucci, Paul Rosen, Bei Wang Phillips

The graphics and visualization track includes research efforts in most areas of computer graphics, including geometric modeling, CAD/CAM, isogeometric analysis, scientific visualization, biomedical visualization, information visualization, visual analytics, computer vision, terrain modeling and rendering, haptics (force-feedback), realistic rendering, physically-based simulation, real-time rendering, GPU programming, computer animation, digital geometry processing, immersive environments, visual perception and spatial cognition.

Human-centered Computing (HCC)

Track Director: Jason Wiese –  [email protected] Track Faculty: Daniel Brown, Erik Brunvand, Rogelio E. Cardona-Rivera, Kate Isaacs, Marina Kogan, Alexander Lex, Andrew McNutt, Vineet Pandey, Sameer Patil, Eliane Wiese, R. Michael Young

The purpose of the HCC track is to train students to understand and create digital products that reflect and improve people’s capabilities, goals, and social environments. Students will learn to conduct original, rigorous research through interdisciplinary training in computer science, behavioral and social sciences, and design, and specifically in the use of user-focused methods and methodologies.

Image Analysis

Track Director: Shireen Elhabian – [email protected] Track Faculty: Ziad Al-Halah, Tom Henderson, Sarang Joshi, Tolga Tasdizen, Ross Whitaker

The School of Computing has image analysis research efforts in a wide variety of areas with a strong focus on biological and medical research but also significant efforts in other rapidly expanding areas such as geosciences. Most of these projects are multi-disciplinary and/or nationwide activities that provide unique opportunities for students to get a broader insight into research and engineering concepts and into the challenges and rewards of collaborative research.

Track Directors: Daniel Brown – [email protected] Track Faculty: Jake Abbott (ME), Ziad Al-Halah, Daniel Brown, Tom Henderson, Tucker Hermans, Alan Kuntz, Tommaso Lenzi (ME), Steve Mascaro (ME), Mark Minor (ME), Vivek Srikumar

The Robotics Track is a program of study that may be taken either in the School of Computing or the Department of Mechanical Engineering. The field of robotics has expanded tremendously since its early focus on industrial robots and now includes a variety of topics such as autonomous vehicles, medical robots, smart sensor networks, micro-robots, robot vacuum cleaners, sentry robots, and pet robots.

Scientific Computing

Track Directors: Varun Shankar – [email protected] Track Faculty: Martin Berzins, Mary Hall, Tom Henderson, Chris Johnson, Mike Kirby, Pavel Panchekha, Prashant Pandey, Valerio Pascucci, Ponnuswamy (Saday) Sadayappan, Varun Shankar, Ross Whitaker

The Scientific Computing track trains students to perform cutting edge research in all of the aspects of the scientific computing pipeline: mathematical and geometric modeling; advanced methods in simulation such as high-performance computing and parallelization; numerical algorithm development; scientific visualization; and evaluation with respect to basic science and engineering.

Secure Computing Track (MS Only)

Track Director: Sneha Kumar Kasera – [email protected] Core Faculty: Sneha Kumar Kasera, Stefan Nagy, Sameer Patil, Pratik Soni, Jun Xu, Mu Zhang Associate Faculty: Aditya Bhaskara, Anton Burtsev, Eric Eide, Ganesh Gopalakrishnan, Pavel Panchekha, Jeff Phillips, John Regehr, Rob Ricci, Vivek Srikumar, Ryan Stutsman, Kobus Van der Merwe, Eliane Wiese, Jason Wiese

The  MS Computing Track in Secure Computing (MSSC)  rigorously prepares graduate students for careers in cybersecurity research and development. It provides students with both a solid foundation of  cybersecurity principles and hands-on practice  of cutting-edge technologies. It offers practical experience in techniques for detection and analyses of cyberattacks, and for effective prevention, response, and recovery. The  human aspects  of security and privacy are addressed along with cyber operation including crime investigation and digital forensics. Students will also be exposed to  business aspects  of security and privacy, specifically aspects of cybersecurity risk and compliance, through a collaboration with the David Eccles School of Business at the University of Utah.

For details, see the track website .

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Thinking of UAH, how good is it's Master's in Computer Science program?

Hi all I'm an international student, just completed my undergrad studies in Computer Engineering with GPA 3.2, I have a 308 in GRE and UAH is in my shortlist. I'm thinking of applying for Master's in Computer Science at UAH along with some other universities. Also, what is the campus environment and the people their like? I wanted a viewpoint from it's own students rather than some online websites on it's Computer Science program. Thank You

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Contact the computer science department.

Learn more about the  computer science department.

Application Requirements

All application materials must be submitted directly through the online application system. We do not accept paper application materials. Official transcripts should not be sent to the Guarini School office during the application process.

Application Fee

• Not accepted.

English Language Proficiency 

• Language proficiency test scores are required for non-US citizens, with the exception of those who are earning or have earned a degree from institutions in the US or Canada, or whose primary language of instruction at their non-US institution was English.
• We accept TOEFL, IELTS, and Duolingo 
• The ETS code for the Guarini School is 3351

Personal Statements

• 2 required personal statement prompts.

Recommendation Letters

• 3 required, up to 4 accepted.

Transcripts

• Your most recent unofficial transcripts should be uploaded as part of your application. Official transcripts are not needed during the application process.

Program Supplement 

Indicate your area(s) of interest:  

• Applied Data Science
• Computational Audition and Music
• Computational Biology
• Computational Design and Fabrication
• Computer Graphics
• Computer Vision and Image Processing
• Digital Arts
• HCI and Human-Centered Design
• Machine Learning
• Mobile and Wireless
• Natural Language Processing
• Security and Privacy

Upload a 100-line sample of code you have written in any language.  Explain in one paragraph why you chose this code.  

A computer science paper you have written for a conference, a class, or out of personal interest. If the paper is a multi-author paper choose a section that is primarily your own work, and explain your contribution.

• PhD applicants should include the entire paper.
• MS CS applicants should include two pages.
• MS DA applicants may optionally include two pages.

Portfolio- Students applying to the MS in Computer Science with a Concentration in Digital Arts are required to share their portfolio link.

Learn more about the computer science faculty.

Questions About the Admissions Process

Admission information can be found here.

Computer Science Department Website

Application Deadline: December 15, 2024

Degrees Offered: MS 4+1, MS, PhD

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Graduate Programs: Application & Admission Requirements - CS

Admission requirements - computer science, ms and phd admission requirements - computer science.

Note: These requirements are in addition to those listed in the Graduate School's application pages.

All documents must be in PDF format and under 10 MB in size.

In order for your application to be complete, the following information must be submitted in the online application:

• Fee:  as determined by the Graduate School. The School of EECS does not provide application fee waivers.
• Three letters of professional reference are required from former professors or employers familiar with the applicant's technical ability. Particularly valuable are letters that assess the applicant's preparation and ability to complete a research project. Applicants with a master's degree should include the major professor as one reference. Letters must be submitted electronically as part of the online application.
• Applicants must include a description of their objectives in pursuing an advanced degree. This should be a brief (one page) summary of the applicant's career goals, research interests, and pertinent experience. This information is submitted as part of the OSU online application.
• Resume/CV:  Please upload a current copy as a PDF to your online application.
• Prior Degree: Applicants must have or complete a baccalaureate degree from an accredited college or university before the start of the term. International students must have completed the equivalent of a four-year US baccalaureate degree.
• Unofficial Transcripts: Applicants must upload unofficial copies of transcripts. Current and former Oregon State University students are not required to provide OSU transcripts.
• A baccalaureate degree of at least three years duration with a B average (equivalent 3.00 on a U.S. 4.00 grading scale) in the last two years, plus all subsequent graded course work; OR
• A baccalaureate degree of at least three years duration with a two-year (equivalent to 45-quarter credits) graduate degree.
• GRE:  GRE scores are not required for admission, but applicants may include GRE scores with their application.
• TOEFL/IELTS:  Please refer to the  language requirements  required by the Graduate School.

Official documentation information can be found on the  Graduate School ’s website.

MEng Admission Requirements - Computer Science

• Fee:  As determined by the Graduate School. The School of EECS does not provide application fee waivers.
• Prior Degree: Applicants must have or complete a baccalaureate degree from an accredited college or university before the start of the term. International students must have completed the equivalent of a four-year American baccalaureate degree.
• 2.0 GPA in one year of college-level math or a degree in statistics or economics
• Algorithm Design and Analysis
• Computer Organization or Architecture
• Operating Systems
• Automata Theory/Theory of Computation
• Programming Language Fundamentals
• 2.0 GPA in one year of calculus
• 2.0 GPA in one year of physics (with calculus)
• AC/DC Circuits/Circuits Analysis
• Signals and Systems
• Electricity and Magnetism
• Power (topic course taken in 3rd or 4th year of UG study)
• Computer Engineering (topic course taken in 3rd or 4th year of UG study)
• Materials and Devices (topic course taken in 3rd or 4th year of UG study)
• Optional Materials:  (a) recommendation letters, (b) statement of objectives, (c) resume/cv (d) GRE scores. These materials will be reviewed but are not required for application or admission.

• Department of Computer Science

Innovative Graduate Research Shines at Summer Showcase

August 14, 2024

Graduate Student Researchers Presented Innovative Projects in AI, Machine Learning and Data Science

The Department of Computer Science and the Hewlett Packard Enterprise Data Science Institute hosted the Summer AI Student Showcase on August 2. The event brought together graduate research teams from across the University of Houston to share innovative projects in artificial intelligence (AI), machine learning and data science.

Six teams were invited to present, and three winners were chosen by the judging panel. The projects spanned a wide range of applications, showcasing the versatility and potential of AI in addressing complex challenges.

Following the success of the Data Science Showcase for undergraduate students, the AI Showcase offered a platform for graduate students to present their research and engage with peers and faculty. Nouhad Rizk, director of undergraduate studies for the UH Department of Computer Science, and Claudia Neuhauser, director of the HPE DSI, led the organizing efforts.

“We are pleased to see the level of dedication that these students have brought to this showcase,” said Rizk. “This event underscores the important contributions of our graduate students and gives them a place to promote their research and its applications.”

First Place

Team Lead: Saikiran Anugam, Department of Engineering Data Science

Team Members: Hariharan Annadurai, Department of Chemical and Biomolecular Engineering

Project: Anugam and Annadurai investigated the relationship between chemical compositions and mechanical properties— such as tensile and yield strength— of industrial steels using machine learning and neural network models. Their research offers insights for optimizing manufacturing processes and improving material performance, with advanced models and robust error analysis enhancing the reliability of their findings.

Second Place

Team Lead: Divija Kalluri, Computer Science Department(NSM)

Team Members: Charan Gajjala Chenchu, Computer Science Department

Project: Kalluri and Chenchu proposed a method to improve X-ray interpretation accuracy using the DenseNet deep learning architecture. By combining segmented image features with diagnostic prompts and processed report data, they trained a large language model to generate concise medical reports. This system enhances radiologists' efficiency by automating image interpretation and report generation, providing a reliable tool for clinical diagnostics.

Third Place

Team: Rabimba Karanjai, Computer Science Department

Project: Karanjai’s AI-Powered Education Diary leverages advanced large language model technology to generate personalized code examples and study materials grounded in authoritative sources like textbooks and lecture notes. Continuous user feedback will refine the content, resulting in an intuitive, multi-device application that enhances personalized learning.

-  Tim Holt, UH Division of Research