Texas A&M University

How this program compares

At an estimated $14.2K in total tuition, the MS in Artificial Intelligence (Engineering Emphasis) sits roughly 67% below the $42.9K average for AI master's programs in our database — placing it in the 10th percentile on cost among the 394 we track at this level. 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 field with strong coursework in algorithms and statistics.[1] A bachelor's degree GPA of 3.0 or higher is typically expected, and relevant work or research experience in computing is preferred.

About This Program

Texas A&M's MS in Artificial Intelligence with an Engineering Emphasis combines a top-tier engineering school with one of the lowest price points among accredited AI master's programs. The curriculum emphasizes applied AI for engineering problems.

A&M's large engineering ecosystem and strong Texas employer network across energy, aerospace, and manufacturing make this an outstanding-value option for engineers moving into AI.

Career Outcomes

The MS in Artificial Intelligence (Engineering Emphasis) at Texas A&M University (College Station, Texas) is oriented toward AI Engineer hiring, with alumni reporting pay near $130,000. Its focus on Computer Vision and Machine Learning maps directly to how employers in engineering ai 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. Robotics Engineer
• 4. Computer Vision Specialist

What You'll Learn

• Design and implement machine learning models for complex real-world problems using supervised, unsupervised, and reinforcement learning techniques
• Apply deep learning architectures to specialized domains including computer vision, natural language processing, and robotics
• Conduct independent AI research and develop novel solutions to emerging challenges in artificial intelligence
• Evaluate ethical implications of AI systems and apply principled decision-making frameworks to AI development

Curriculum Highlights

The structure emphasizes core AI and machine learning techniques, complemented by engineering-focused electives and specialized research opportunities.

Top Employers

Top employers for AI graduates include technology leaders like Google, Microsoft, Amazon, Tesla, and IBM, as well as defense contractors and aerospace companies specializing in intelligent systems.

Admissions

Admission to Texas A&M University's MS in Artificial Intelligence (Engineering Emphasis) generally expects a master of science (30+ credit hours). 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
• Official Transcripts: Required

Frequently Asked Questions