TX

Master's in AI
On-Campus, Online

Texas A&M University

MS in Artificial Intelligence (Engineering Emphasis)

  • College Station
About This Program

This specialization within the MS-ARIN program focuses on the engineering and computational principles required to design the next generation of intelligent systems.

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What You'll Learn

Students develop expertise in mathematical foundations, neural networks, and the application of AI in engineering contexts like robotics and control.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure emphasizes core AI and machine learning techniques, complemented by engineering-focused electives and specialized research opportunities.
Typical Course Topics
1. Artificial Intelligence Foundations 2. Machine Learning and Statistical Learning 3. Deep Learning and Neural Networks 4. Natural Language Processing 5. Computer Vision and Robot Perception 6. Reinforcement Learning and Intelligent Agents
Program Specializations:
Computer Vision
Machine 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 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.
Academic Requirements (Typical)

• Degree Required: Master of Science (30+ credit hours)
• 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
• 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.

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Career Opportunities in AI

Position as AI Engineer in Engineering AI with machine learning expertise

Estimated Industry Salary
AI/Machine Learning Engineer: $125,000 Data Scientist: $120,000 Robotics Engineer: $115,000 AI Research Scientist: $130,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Robotics Engineer 4. Computer Vision Specialist
Top AI Employers (Industry-Wide):
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.
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Program Details
Duration
  • 2 Year
Tuition
  • 14,240
Format
On-Campus, Online
Specializations
Computer Vision
Machine Learning
Official Resources
Program Website
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