Texas A&M University

How this program compares

Budget-wise, $24.9K puts this master's program at the 33rd percentile on cost — roughly 42% 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 or a related technical field with a strong GPA (typically 3.0+) and demonstrated coursework in algorithms and statistics. Some programs prefer GRE scores and relevant work experience or research background in AI/ML.

About This Program

Texas A&M's MS in Artificial Intelligence pairs a major research university and top-tier engineering school with one of the most affordable price points among accredited AI master's programs. The curriculum covers machine learning, deep learning, and applied AI.

A&M's large engineering ecosystem and strong Texas employer network — spanning energy, aerospace, and a fast-growing tech sector — make this a high-value option for students seeking ROI.

Career Outcomes

Texas A&M University positions this master track for Machine Learning Engineer careers — typical offers cluster around $120,000. Its focus on Natural Language Processing (NLP) and Computer Vision 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 Systems Architect

What You'll Learn

• Design and deploy machine learning models and deep neural networks for real-world applications
• Apply statistical analysis and Bayesian methods to AI problem-solving and decision-making
• Develop specialized AI systems including natural language processing, computer vision, and reinforcement learning
• Conduct independent research and evaluate ethical implications of AI technologies

Curriculum Highlights

The 30-credit program integrates cutting-edge research with industry best practices, offering both thesis and non-thesis options in artificial intelligence.

Top Employers

Top employers in AI include Google, Microsoft, OpenAI, Meta, Amazon, and government research institutions such as DARPA and national laboratories.

Admissions

Admission to Texas A&M University's MS in Artificial Intelligence generally expects a master of science (30+ credit hours). Plan for the GRE, which this program lists as typically required or recommended. 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
• GRE Scores: Required or recommended

Frequently Asked Questions