TX

Master's in AI
On-Campus, Online

Texas A&M University | MS in Artificial Intelligence

  • College Station
About This Program

This degree program (MS-ARIN) equips students with advanced skills in machine learning and ethical decision-making to lead AI initiatives across industries.

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What You'll Learn

Students will learn to innovate AI solutions for real-world challenges in fields like healthcare, finance, transportation, and industrial production.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 30-credit program integrates cutting-edge research with industry best practices, offering both thesis and non-thesis options in artificial intelligence.
Typical Course Topics
1. Artificial Intelligence 2. Machine Learning 3. Deep Learning 4. Natural Language Processing 5. Computer Vision and Robot Perception 6. Deep Reinforcement Learning
Program Specializations:
Natural Language Processing (NLP)
Computer Vision
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 or a related technical field with a strong GPA (typically 3.0+) and demonstrated coursework in algorithms and statistics. Some programs prefer GRE scores and relevant work experience or research background in AI/ML.
Academic Requirements (Typical)

• Degree Required: Master of Science (30+ credit hours)
• GRE/GMAT: Typically required or recommended
• 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
• GRE Scores: Required or 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

Advance as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $130,000 AI Research Scientist: $125,000 Data Scientist: $115,000 AI Systems Developer: $120,000
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 Systems Architect
Top AI Employers (Industry-Wide):
Top employers in AI include Google, Microsoft, OpenAI, Meta, Amazon, and government research institutions such as DARPA and national laboratories.
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Program Details
Duration
  • 2 Year
Tuition
  • 24,880
Format
On-Campus, Online
Specializations
Natural Language Processing (NLP)
Computer Vision
Official Resources
Program Website
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