Computer Science (Ph.D.)
Basic Degree Information/Description:
The Department of Computer Science offers advanced coursework and research leading to the Doctor of Philosophy degree in computer science. The program provides cutting edge research experience as well as expertise in advanced computer science subjects, aiming at educating future leaders in academia and industry. Successful Ph.D. candidates must demonstrate an in-depth knowledge of computer science and must deliver an original contribution to the field.
Why pursue a Ph.D. in Computer Science?
- The Department of Computer Science offers comprehensive programs at both undergraduate and graduate levels, with approximately 400 undergraduates, 80 M.S. students and 70 Ph.D. Students.
- The program offers opportunities for students to do advanced research in many fields in computer science. The research activities and experimental facilities have been well-supported by various federal research and infrastructure grants.
- Applicants will automatically be considered for scholarships, and teaching assistantship and research assistantships. Support for a typical Ph.D. student offers financial compensation of $18,000 or more per year (12 months) in addition to covering tuition and fees.
Admission Requirements and Deadlines:
Admission requirements and pre-requisites: Applicants should have a B.A., B.S., or M.S. degree in computer science or a related area.
Transcripts: Official transcripts from all institutions attended. All international transcripts must be recorded in English or officially translated to English.
Specific Degree Requirements: Admissions is competitive. Satisfying the minimum requirements does not guarantee admission.
Graduate Studies Application: Yes
Department Application: No
Test Scores: General GRE Required.
Resume or CV: Yes
Letters of Recommendation: 3 letters of recommendation attesting to the applicant's readiness for doctoral study.
Statement of Purpose: Yes-statement of research experience and interest.
Minimum TOEFL Score (for International Applicants): 550 paper/79 internet
Minimum IELTS Score (for International Applicants): 6.5
Additional Requirements: International students and those with international degrees may be required to submit additional documents per our admissions policies and procedures. The Graduate School reserves the right to request any additional documents needed to fairly and consistently evaluate applicant credentials.
Full-Time or Part-Time Attendance Requirement: Full-Time or Part-Time
Graduate Advisor of Record: Weining Zhang, Ph.D.
Email Address: Weining.Zhang@utsa.edu
Telephone: (210) 458-5557
Degree Website: http://www.cs.utsa.edu/graduate/ph-d-degree/
Degree Catalog Link: http://www.utsa.edu/gcat/chapter6/COS/csdept.html#phdcs
Career Options Available for a Computer Science Graduate:
- Our Ph.D. graduates are working in various faculty positions (such as, in Texas State University, Southern Arkansas University, University of Wisconsin at Stout), post-doctoral positions (such as in UT Health Science Center), and industrial research positions (such as at Southwest Research Institute, Free scale Semiconductor, and Kodak Research).
Course Scheduling and Offerings:
- This program is housed on UTSA’s Main campus.
- Graduate courses are in late afternoons and evenings, accommodating part-time students very well.
Research taking place in the Computer Science program:
- Our 21 faculty members are conducting research in a variety of areas including algorithms, bioinformatics, computer and information security, computer architecture, computer networks, databases, high performance computing, parallel and distributed systems, programming languages and compilers, and software engineering among others. The research in the Department of Computer Science is supported by more than $10M in active research grants and contracts from various external funding agencies. PhD students conduct innovative research in cooperation with and under the supervision of department faculty. Activities of research assistants include implementing prototype systems, developing and proving new theories, conducting experiments, attending international conferences, and publishing their results in scientific journals.