Prospective Graduate Students

Admissions
University of Utah requirements
Frequently Asked Questions (FAQ)


GRADUATE PROGRAM

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Approximately 40 students enter the graduate program annually, with an even split between those entering the M.S. and PhD programs. The M.S. degree in the School of Computing requires a thesis or non-thesis degree and provides comprehensive course and research experience. Most graduate students are supported financially throughout their graduate career via a combination of teaching assistantships, research assistantships, and fellowships. Our admissions standards are high, and hence the competition is rigorous for limited number of open positions within the program. Admission is based on an evaluation of both an applicantŐs academic profile and research potential.

Degrees Offered

MS and Non Thesis MS in Computer Science

• The SoC offers two MS degrees, one in Computer Science, and one in Computing. Computing degrees listed below.

PhD in Computer Science

• The SoC offers two PhD degrees, one in Computer Science, and one in Computing. Computing degrees listed below.

Computing Degrees

MS in Computing: Information Technology

• The goal of the M.S. Computing Degree in Information Technology (MSIT) is to train this new generation of technologists. It offers a mix of technology and management courses to provide students with a solid background in both areas. This unique combination of skills is currently in high demand in the IT industry. This is a collaborative degree with the David Eccles School of Business

MS & PhD in Computing: Robotics

• 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 very diverse topics such as autonomous vehicles, medical robots, smart sensor networks, micro robots, robot vacuum cleaners, sentry robots, and pet robots.

PhD in Computing: Scientific Computing

• 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.

MS & PhD in Computing: Graphics and Visualization

• The graphics track includes research efforts in most areas of computer graphics, including geometric modeling, CAD/CAM, scientific visualization, biomedical visualization, computer vision, terrain modeling and rendering, haptics (force-feedback), realistic rendering, digital geometry processing, point-based graphics, immersive environments, and non-photorealistic rendering.

MS & PhD in Computing: Computer Engineering

• 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.


• MS & PhD in Computing: Data Management and Analysis


Dual Degrees


• MS Computer Science and MBA

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