San Marcos, TX
student ratio
total students
Tuition Cost Not Reported
Not Reported
average amount to complete degree
February 1
fall application deadline
acceptance rate
1 Degree Offered
degrees offered


The Department of Computer Science at Texas State University is offering a 21st century applied computer science Ph.D. program that incorporates leadership, innovation, communication, and entrepreneurship to prepare students to navigate multiple career environments. The program is the first in Texas to combine the application of computer science practice and theory with entrepreneurial and commercialization skills.

The future global competitiveness of Texas and the United States is heavily influenced by technological and computing innovation. This innovation is most often derived from scientists trained at the graduate level who demonstrate technical competency, leadership, innovation, and broad exposure to practical applications. The Ph.D. program in computer science helps to alleviate the shortage of graduates with the skills needed to sustain the technology-driven economy of Texas and beyond.

The U.S. Bureau of Labor Statistics (BLS) predicts that STEM will be one of the fastest growing job markets in the foreseeable future in the U.S. and that computing will be its fastest growing field. According to the Texas Workforce Commission (TWC), the need for workers with a Ph.D. in computer science is increasing rapidly and outpaces the predicted production of existing doctoral programs. The Austin Chamber of Commerce specifically notes that computer and information research scientist positions, which require doctoral training, are among the hardest to fill in Central Texas. At the national level, the Taulbee Survey found that the number of computer science Ph.D. degrees to be awarded over the next several years is expected to decline rather than keep pace with the expected job growth.

The Ph.D. curriculum is centered on two technical tracks: Information Management and Software Systems. The Information Management track encompasses research topics in data analytics and management, human-computer interaction, and informatics. The Software Systems track covers topics in computer security and networking, high-performance computing, and software engineering. In addition, the program includes two entrepreneurship boot camps, a business plan, the design and implementation of a substantial piece of software, and two business and commercialization courses.


The program accepts both full-time and part-time students once per year.

The applicant must have completed a bachelor's or master's degree in computer science or a closely related discipline. Applicants with a bachelor's degree must have a grade-point average (GPA) of at least 3.0 on their most recent 60 semester hours of course work. Applicants with a master's degree must have a GPA of 3.3 in their MS-level course work. The applicant must have an official Graduate Record Examination (GRE). The preferred score is 146 or higher for the verbal portion and 160 or higher for the quantitative portion.

Course Work

A total of 54 semester credit hours are required for a student entering with a master's degree and 78 credit hours with a bachelor's degree. Course work includes breadth courses, including two 7000-level courses from each track (information management and software systems), two commercialization courses, and an introduction to computer science research course. The depth electives consist of nine hours of 7000-level courses from the student's selected track. The remaining 24 hours are for the dissertation. Additional requirements include two one-week entrepreneurship boot camps, a qualifying exam, a comprehensive exam, programming competency skills, and a dissertation proposal and defense.


Graduate students in the Department of Computer Science at Texas State consistently win national, regional and industry awards, including National Science Foundation Graduate Research Program Fellowships, Council of Southern Graduate Schools Outstanding Thesis awards, and IBM's Master of the Mainframe contests.


The faculty at Texas State has a notable record of publications and patent applications, and their research is supported by substantial competitive grants of various kinds. Over the past five years, they have obtained many federal and local grants; research expenditures topped $1.5 million in 2015 leading to numerous faculty accolades, including a Presidential Early Career Awards for Scientists and Engineers (PECASE), NSF Faculty Early Career Development (CAREER) Awards, and a Distinguished Member of the Association for Computing Machinery (ACM) designation.

Department Mission

The mission of the Department of Computer Science is to advance the knowledge of computer science and technology through education, research, and service for the betterment of society. The program focuses on key areas of applied computing of national priority. Those are: 1) computer security and networking, 2) data analytics and management 3) high-performance computing, 4) human-computer interaction, 5) informatics/multimedia, 6) software engineering. The curriculum emphasizes building complementary and interdisciplinary technical skills in applied computing and equipping students with non-technical skills that are essential to navigating multiple career paths.


Assistantships may be awarded to the most qualified doctoral students. Each doctoral assistant who receives an assistantship will be guaranteed three years of salary as an instructional or teaching assistant (IA/TA) at $30,000 per year plus benefits for a 50% nine-month appointment as long as adequate progress is being made. Adequate progress is defined as receiving a B or higher in each course and taking at least 9 credit hours in each long semester. Tuition is not included in the assistantship. Texas State University's graduate tuition and fees for 18 semester credit hours per year is around $7000 in 2017.

Important Dates

The program accepts student once per year in the fall. The priority deadline is February 1 and the final deadline is June 15. Applications must be completed by the priority deadline to be considered for assistantships, fellowships, or scholarships.

Program Unique Features

This Ph.D. program distinguishes itself from other programs in Texas by some combination of the following: its research focus, program delivery and the doctoral curriculum. The program emphasizes applied computing, targeting research areas of national priority such as data analytics and management, human computer interaction, informatics, computer security and networking, high-performance computing, and software engineering. The proposed program prepares students to pursue a range of research and research-related careers within and outside of academe. The program offers a selection of evening classes to accommodate part-time students. The doctoral curriculum requires each student to attend entrepreneurship boot camps and complete two business-skills related courses.

Location & Contact

Doctoral Program in Computer Science

College of Science and Engineering
Texas State University

601 University Drive
San Marcos, TX 78666
United States

Dr. Anne Ngu


Phone: 512-245-3409

Dr. Andrea Golato

Dean of the Graduate College

Phone: 512-245-2581

Request More Info

Degrees & Awards

  • Degrees Offered
    • Major Degree Levels Offered
    • Computer Science Doctor of Philosophy (PhD)
  • Degrees Awarded
    • Master's Degrees Not reported
    • Doctoral Degrees Not reported
    • First Professional Degrees Not reported
    • Other Advanced Degrees Not reported
    • * Shows the number of degrees awarded for the last academic year that data was reported.
  • Earning Your Degree
    • Part-time study available? Yes
    • Evening/weekend programs available? Not reported
    • Distance learning programs available? No
    • Terminal master's degree available? Yes
  • Degree Requirements
    • Master's Degrees Not reported
    • Doctoral Degrees Comp Exam Required, Thesis Required and qualifying exam; dissertation defense; demonstration of significant experience designing and implementing a substantial piece of software
    • First Professional Degrees Not reported
    • Other Advanced Degrees Not reported


50% of applicants are admitted.
  • Acceptance Rate
    • Applied 22
    • Accepted 11
    • Acceptance Rate 50
    • Enrolled 7
  • Applying
    • Application Fee - Domestic $40
    • Application Fee - International $90
    • Electronic applications accepted? Yes
    • Applications processed on a rolling basis? Yes
  • Application Deadlines
    • Type Domestic International Priority Date
    • Fall deadline February 1st February 1st Yes
    • Winter deadline Not Reported Not Reported Not Reported
    • Spring deadline Not Reported Not Reported Not Reported
  • Entrance Requirements
    • Master's DegreesNot Reported
    • Doctoral's DegreesGRE General Test (minimum preferred scores of 146 on verbal and 160 on quantitative sections), baccalaureate degree in computer science with minimum GPA of 3.0 in last 60 hours of undergraduate course work or master's degree in computer science with minimum GPA of 3.3; interview; resume; 3 letters of recommendation from those with knowledge of academic abilities
    • First-Professional's DegreesNot Reported
    • Other Advanced DegreesNot Reported
    • International DegreesTOEFL required, TOEFL iBT, IELTS required, IELTS paper based

Tuition & Fees

  • Tuition & Fees *
    • Tuition & FeesNot Reported
    • *Average dollar amount (tuition & fees) required to complete the degree
  • Financial Support
    • Financial award applicants must submitFAFSA
    • Application deadlines for financial awardsMarch 1
    • Types of financial support availableTeaching Assistantships, Health Care Benefits, Scholarship and/or loans, Graduate Assistantships

Student Body

  • Gender
    • Total Graduate Students9
    • Female Percentage11%
    • Male Percentage89%
  • Participation
    • Total Graduate Students9
    • Part-time PercentageNot Reported
    • Full-time PercentageNot Reported
  • Race/Ethnicity
    • Hispanic / Latino0%
    • Black / African American0%
    • White / Caucasian67%
    • American Indian / Alaskan Native0%
    • Asian0%
    • Native Hawaiian / Other Pacific Islander0%
    • Two or more races0%
    • Unknown or International Student33%


  • Faculty Breakdown
    • Total Faculty22
    • Full-time Percentage95%
    • Part-time Percentage5%
    • Female Percentage23%
    • Male Percentage77%


  • Existing Research
    • Focus of faculty researchArtificial intelligence, computer communication and networking, computer vision, cyber security and trustworthy computing, database and information systems, data mining, distributed and parallel computing, high performance computing, human computer interaction, image retrieval, machine learning, multimedia computing, sensor networks, software engineering, sustainable computing
    • Externally sponsored research expenditures last year$1,057,366


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