634 Nedderman Hall
416 Yates Street
Arlington, TX 76019-0019
Computer Science Doctoral Degree Program
Objective and Description
The purpose of the graduate program in Computer Science is to facilitate the student's continued professional and scholarly development. The Doctor of Philosophy (Ph.D.) program is designed to prepare the student to conduct research and development in an area of concentration.
The purpose of the graduate program in computer science is to facilitate the student's continued professional and scholarly development. The Doctor of Philosophy (Ph.D.) program is designed to prepare the student to conduct research and development in an area of concentration.
About the Program
A doctorate in computer science builds on prior knowledge, education, and experience in the field. The degree typically takes 4-5 years to complete, and involves independent study and research in a focused area of interest. Doctoral programs include coursework and research that culminate in a final dissertation.
Students may apply for the Ph.D. program after completing their M.S. degree in computer science or proceed directly to Ph.D. program after completing their B.S. degree in computer science. Students without an M.S. will typically spend an extra year learning the basic research skills prior to begin working on their dissertation.
Candidate selection for the doctorate program is a very a competitive process, considering GPA, performance in computer-related classes, TOEFL or IELTS (for non-English speaking candidates), GRE and reputation of the university where you did your undergraduate and graduate studies. Relevant recent work experience is considered in cases where educational credentials are dated or not in the computer science field.
Ph.D. candidates select one of the following 8 graduate tracks provided by the Computer Science and Engineering Department and complete five milestones to achieve their doctorate in Computer Science:
- Data analytics (database systems, data mining, cloud computing, big data, and others)
- Intelligent systems (knowledge representation, knowledge acquisition, machine learning, neural networks, parallel AI and others)
- Networking, telecommunications and mobile computing
- Software engineering (environments, formal verification, testing, and others)
- Multimedia systems (authoring, compression, collaboration and communication)
- Theory and algorithms
- Information and cybersecurity
Five Ph.D. Milestones
After selecting one of the major tracks above, a PhD candidate must complete the following five milestones:
|Form Committee||At least 4 members (supervisor plus three committee members). One member may be external. External member must have a doctoral degree and be approved by the department's Graduate Senate Committee.|
Complete required coursework:
- B.S. to Ph.D.: 30 hours
- M.S. to Ph.D.: 18 hours
All students must complete required core classes plus classes in their selected major
|Comprehensive Exam||A written and an oral examination that evaluates the basic research foundation of the candidate prior to the proposal and dissertation phases.|
|Comprehensive Exam||Propose dissertation topic. Requires full approval of the committee members|
|Defense||Final defense and granting Ph.D.|
All PhD students’ progress toward the milestones are reviewed and monitored by a committee consisting of at least 4 members (supervisor plus three committee members.)
Requirements for Licensure or Certification
All discipline specific programs in the College of Engineering meet educational requirements for professional licensure or certification in all U.S. states, territories, and the District of Columbia.