Texas A&M University–Commerce

How this program compares

Budget-wise, $12.3K puts this master's program at the 7th percentile on cost — roughly 71% below the $42.9K average across 394 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science or related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and mathematics.

About This Program

A graduate program that combines advanced computer science principles with specialized tracks in areas such as software engineering, cybersecurity, and artificial intelligence. Coursework concentrates on Machine Learning and MLOps/AI Engineering. Most students complete it in about 2 years.

Design and implement machine learning models for real-world data problems.

Estimated total tuition is $12.3K, below the $42.9K average for AI master's programs in our database and in the 7th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in cheaper than about 75% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Graduates of Texas A&M University–Commerce's MS in Computer Science - AI Track most often target Machine Learning Engineer roles, where reported compensation runs around $120,000. Its focus on Machine Learning and MLOps/AI Engineering maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. Computer Vision Engineer

What You'll Learn

• Design and implement machine learning models for real-world data problems
• Develop AI systems using neural networks and deep learning frameworks
• Apply computer vision and natural language processing techniques
• Optimize algorithms for scalable AI applications and deployment

Curriculum Highlights

Core coursework in algorithm analysis and operating systems is paired with an AI track featuring Python for AI, data visualization, and deep learning.

Top Employers

Top employers include Google, Microsoft, Amazon, and Meta.

Admissions

Admission to Texas A&M University–Commerce's MS in Computer Science - AI Track generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions