TX

Master's in AI
On-Campus, Online

Texas A&M University

MS in Artificial Intelligence

  • College Station
About This Program

This graduate program provides specialized education in the theories and applications of AI to prepare a cohort of experts for the global market.

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What You'll Learn

Graduates will possess advanced proficiency in navigating AI complexities and applying intelligent systems effectively to automate tasks and enhance analysis.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Core curriculum themes include advanced machine learning, ethical AI development, and industry-specific applications through a research-based or coursework-based path.
Typical Course Topics
1. Artificial Intelligence 2. Machine Learning 3. Deep Learning 4. Natural Language Processing 5. Computer Vision and Robot Perception 6. Data Mining and Analysis
Program Specializations:
Computer Vision
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with prerequisite knowledge in algorithms and statistics. GRE scores are optional, and relevant programming or research experience strengthens applications.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

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

Check Application Deadlines
Career Opportunities in AI

Thrive as AI Research Scientist in Engineering AI with machine learning expertise

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Research Scientist 2. Machine Learning Engineer 3. Data Scientist 4. AI Robotics Specialist
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Microsoft, Amazon, and research institutions such as national labs and AI startups.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 17,130
Format
On-Campus, Online
Specializations
Computer Vision
Machine Learning
Official Resources
Program Website
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