Texas A&M University–Commerce

How this program compares

Budget-wise, $8.6K puts this master's program at the 1st percentile on cost — roughly 80% 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: Applicants must hold a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field with a minimum 3.0 GPA. Prior coursework in linear algebra, calculus, and programming is typically required.

About This Program

This master's degree provides a comprehensive understanding of AI concepts and algorithms, preparing graduates for careers in technology, healthcare, and finance. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 2 years.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $128,000.

Design and train machine learning models for prediction, classification, and clustering tasks.

Budget planners should note $8.6K estimated total tuition (1st percentile among AI master's programs, below the $42.9K average). 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 91% of the Texas programs in our data, where typical tuition runs near $41.5K.

Career Outcomes

Texas A&M University–Commerce positions this master track for AI Research Scientist careers — typical offers cluster around $128,000. Its focus on Machine Learning and Deep Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% 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. AI Solutions Architect

What You'll Learn

• Design and train machine learning models for prediction, classification, and clustering tasks
• Implement deep learning architectures including CNNs and RNNs for complex data analysis
• Apply AI techniques to real-world business and engineering problems with ethical considerations
• Evaluate and optimize AI systems for performance, scalability, and responsible deployment

Curriculum Highlights

The program offers specialized tracks in computer science, computational linguistics, mathematics, or psychology, covering foundations of AI and neural networks.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, OpenAI, IBM, and major consulting firms like McKinsey and Deloitte.

Admissions

Admission to Texas A&M University–Commerce's MS in Artificial Intelligence generally expects a master of science. Plan for the GRE, which this program lists as required. 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: 3
• Resume: Required
• Transcripts: Official transcripts required
• Portfolio or GitHub repository: Recommended

Frequently Asked Questions