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Doctor of Philosophy in Computer Science

Curriculum

The graduate programs in computer science offer intensive preparation in design, programming, theory and applications. Training is provided for both academically oriented students and students with professional goals in the many business, industrial and governmental occupations requiring advanced knowledge of computing theory and technology.

Courses and research opportunities are offered in a variety of subfields of computer science, including operating systems, computer architecture, computer graphics, pattern recognition, automata theory, combinatorics, artificial intelligence, machine learning, database design, computer networks, programming languages, software systems, analysis of algorithms, computational complexity, parallel processing, VLSI, virtual reality, internet of things, embedded and real-time systems, computational geometry, computer vision, design automation, cyber security, information assurance and data science.

The University maintains a large network of computer facilities including specialized computers for research within the program. In addition to computer science faculty, many other individuals at the University are involved in computer-related work in the physical and social sciences and in various areas of business and management. Computer science students with an interest in these important application areas may have opportunities to consult and work with talented faculty from a wide range of disciplines.

Program Information

School: Erik Jonsson School of Engineering and Computer Science

Program: Computer Science

Catalog page: PhD

PhD in Computer Science Fact Sheet

PhD in Computer Science Fact Sheet

Application Requirements

Test score required: Yes

Deadlines: University deadlines apply.
 

Other application requirements:

Admission Option One
  • Master's degree in computer science or its equivalent
  • GPA of at least 3.5  
  • GRE revised scores of at least 308, 153, 155 and 4 for the combined, verbal, quantitative, and analytical writing components, respectively, are advisable. 
Admission Option Two
  • A BS degree in related area that includes two semesters of calculus and linear algebra 
  • GPA of at least 3.5 in the last 60 semester credit hours
  • GRE revised scores of at least 315, 156, 159 and 4 for the combined, verbal, quantitative, and analytical writing components, respectively, are advisable.

Applicants are admitted on a competitive basis.

Contact

Admissions
[email protected]

For Advising:
Shyam Karrah (for Master's students)
972-883-4197
800 W. Campbell Rd. EC31
Richardson, TX 75080-3021
Office - ECSS 3.907

Possible Careers

Graduates of the program seek academic positions at universities, as well as positions as researchers, senior software engineers, data scientists. Graduates often become industry experts in fields like cyber security, artificial intelligence, machine learning or natural language processing.

Salary Information

See Bureau of Labor Statistics for detailed salary information on these careers. Another great resource is the Occupational Outlook Handbook.

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The University of Texas at Dallas | Office of Admission and Enrollment 1-972-883-2270
Student Services Bldg | 800 W. Campbell Rd, Richardson, TX 75080-3021 1-800-889-2443