Computer Science Master's Degree with Data Science Track
Master of Science (MS) in Computer Science with Data Science Track
Unlock insights. Drive innovation.
The Data Science Track within the Master of Science in Computer Science program empowers students with the advanced tools and techniques needed to analyze complex data, develop intelligent algorithms, and create impactful visualizations. From machine learning to data engineering, this track equips you with the critical skills to lead in today’s data-driven world.
To complete the Data Science Track, students select five specialized electives as part of the 30 credit hours required for the M.S. in Computer Science degree.
Take the Next Step in Your Journey
Learn about the Graduate Studies programs and requirements.
Grad Studies Admission and Deadlines
Find application requirements, deadlines, and everything you need to start your graduate journey at UTPB.
Master of Science Computer Science Degree Requirements
Explore the full list of courses, credit hours, and research components needed to complete the MS Computer Science at UTPB.
Degree Requirements
UT Permian Basin offers both thesis and non-thesis options, giving you flexibility to match your goals. To earn your M.S. in Computer Science with a Data Science focus, you'll complete 30 graduate credit hours, including core courses and track-specific electives.
Non-Thesis Option
- Complete 30 semester credit hours of graduate-level COSC courses.
- You may include up to two 4000-level COSC electives (if not previously taken).
- No thesis or research credits required.
Thesis Option
- Complete 24 semester credit hours of coursework.
- Include 6 credit hours of COSC 6399 (Thesis Research).
- Successfully defend your thesis to faculty.
Data Science Track (within either option)
As part of the 30 total credit hours, select five electives (15 credits) from the Data Science emphasis, including:- COSC 6385 - Analysis of Algorithms (3 cr)
- COSC 6315 - Database Systems (3 cr)
- COSC 6375 - Distributed Systems (3 cr)
- plus two additional data science electives approved by faculty.
Elective Coursework & Prerequisites
- Up to two 4000-level COSC courses may count as electives if not used in your undergraduate degree.
- Some graduate courses require prior coursework (e.g., COSC 6310, 6370, 4415, 4460); you'll complete any prerequisites before enrolling.
For the most current and detailed information, please refer to the official UTPB Graduate Catalog.
Career Paths in Data Science
A graduate degree in Computer Science with a Data Science focus opens the door to high-demand, high-impact careers across every industry. Whether you're decoding data to drive decisions or designing intelligent systems, UTPB equips you with the skills to lead.
- Data Analyst
- Data Scientist
- Data Engineer
- Machine Learning Engineer
- AI Engineer
Degree Roadmap
Get all the details on our Computer Science program, including admission requirements, financial considerations, class requirements, and more.
View Academic Catalog
| Criteria | Regular Admission | Conditional Admission |
|---|---|---|
| Bachelor’s Degree | Required – from an accredited college or university | Required – from an accredited college or university |
| Cumulative GPA | 3.0 or higher in the last 60 credit hours | 2.75–2.99 in last 60 hours OR 3.0+ GPA in all CS and Math courses |
| Personal Statement | Required – 500 words describing computer-related experience and goals | Required |
| Resume | Required – Include three references | Required – Include three references |
| GRE | Not required | Verbal: 145+, Quantitative: 148+, Writing: 3+ |
| Relevant Background | Degree should include adequate preparation in computer science and mathematics | May require foundational coursework if preparation is insufficient |
| Foundational Coursework | Not required if already completed | Must earn B or better in: COSC 1430, 2430, 3310, 3312, 3315, 3420; MATH 2413, 2414 |
| Academic Performance | Not specified | Must earn a B or better in the first 12 credit hours of 6000-level coursework |
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