Texas A&M University–Commerce

How this program compares

At an estimated $8.6K in total tuition, the MS in Artificial Intelligence sits roughly 80% below the $42.4K average for AI master's programs in our database — placing it in the 1st percentile on cost among the 531 we track at this level. It is one of the 57% 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.

Estimated total tuition is $8.6K, below the $42.4K average for AI master's programs in our database and in the 1st percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Lead as AI Research Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $128,000.

Career Outcomes

Lead as AI Research Scientist in Cross-Industry AI with machine learning expertise

• 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

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.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Portfolio or GitHub repository: Recommended

Academic Requirements

• Degree Required: Master of Science
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)