TX

Master's in AI
On-Campus, Online, Hybrid

Texas A&M University–Commerce

MS in Artificial Intelligence

  • Commerce
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.

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What You'll Learn

Students gain expertise in machine learning, computer vision, data mining, and AI ethics, while mastering Python programming specifically applied to intelligent systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program offers specialized tracks in computer science, computational linguistics, mathematics, or psychology, covering foundations of AI and neural networks.
Typical Course Topics
1. Machine Learning Algorithms and Applications 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning and Autonomous Systems 6. AI Ethics and Business Strategy
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

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

Estimated Industry Salary
Machine Learning Engineer: $130,000 AI Research Scientist: $135,000 Data Scientist: $125,000 AI Solutions Architect: $128,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, Meta, OpenAI, IBM, and major consulting firms like McKinsey and Deloitte.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 8,607
Format
On-Campus, Online, Hybrid
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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