Computer Science Master's Degree - AI Track
Lead Innovation with Advanced Artificial Intelligence
The Master of Science in Computer Science – Artificial Intelligence (AI) Track at The University of Texas Permian Basin prepares students to develop advanced solutions using artificial intelligence, machine learning, and deep learning. This program equips students with the technical expertise to solve complex computing challenges across industries including science, engineering, and business.
Through a combination of project-based learning and application-focused coursework, students gain hands-on experience in AI-driven problem solving and strategic implementation. Graduates are prepared to lead innovation and apply intelligent systems to real-world challenges in a rapidly evolving technological landscape.
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Learn about the Graduate Studies programs and requirements.
Grad Studies Admission and Deadlines
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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 for the Master of Science in Computer Science, allowing students to tailor their graduate experience to their academic and professional goals.
Non-Thesis Option
- Complete a minimum of 30 semester credit hours of graduate-level coursework
- Up to two 4000-level COSC courses may count toward graduate credit (if not previously taken)
- No thesis or research requirement
Thesis Option
- Complete a minimum of 24 semester credit hours of graduate coursework
- Complete 6 credit hours of COSC 6399 (Thesis Research)
- Successfully defend the thesis in an oral examination
AI Track Coursework (15 Credit Hours)
Students complete five specialized AI courses:- COSC 6320 – Problem Solving with AI
- COSC 6330 – Strategic Deployment of AI
- COSC 6355 – Applications of Artificial Intelligence
- COSC 6360 – Applications of Machine Learning
- COSC 6365 – Applications of Deep Learning
For the most current and detailed information, please refer to the official UTPB Graduate Catalog
Career Paths in Artificial Intelligence
Graduates of the AI Track are prepared for advanced roles that leverage artificial intelligence, machine learning, and intelligent systems across industries.
Career opportunities include:
- Machine Learning Engineer
- Artificial Intelligence Engineer
- Data Scientist
- AI Architect
- AI Researcher
Why Choose UT Permian Basin for AI?
UT Permian Basin’s AI Track at the graduate level is designed for students ready to advance their expertise, solve complex problems, and lead innovation in artificial intelligence.
- Advanced AI Curriculum: Build expertise in machine learning, deep learning, and strategic AI deployment through project-based, graduate-level coursework.
- High-Performance Computing Access: Work with advanced computing resources through the Texas Advanced Computing Center (TACC), part of the UT System Research Cyberinfrastructure program.
- Flexible Degree Options: Choose between thesis and non-thesis pathways to align your degree with research goals or career advancement.
- Cross-Disciplinary Opportunities: Ideal for students from computer science, engineering, science, and business backgrounds seeking to apply AI across industries.
- Career Advancement Focus: Prepare for high-level roles in artificial intelligence, data science, and intelligent systems with support from UTPB Career Services.
- Affordable, High-Quality Graduate Education: Earn your Master of Science in Computer Science at UT Permian Basin with strong value and return on investment.
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 accredited college or university) | Required (from accredited college or university) |
| Cumulative GPA | 3.0 or higher in the last 60 credit hours | 2.75 – 2.99 in the last 60 hours – OR – 3.0+ GPA in all Computer Science and Mathematics 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+, Analytical Writing: 3+ |
| Relevant Background | Degree should include adequate computer science preparation | May require completion of foundational coursework (see below) |
| Foundational Coursework | Not required if already completed | Required if missing. Must earn B or better in: COSC 1430, 2430, 3310, 3312, 3315, 3420; MATH 2413, 2414 |
| Academic Performance Expectation | Not specified | Must earn a B or better in first 12 hours of 6000-level coursework |
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