TX

Master's in AI
On-Campus

Tarleton State University

MS in AI and Machine Learning

  • Stephenville
About This Program

This research-based program offers thesis and professional tracks designed to prepare students for career advancement or doctoral-level studies in intelligent systems.

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What You'll Learn

Students will learn to design, implement, and evaluate AI solutions while navigating the ethical and societal impacts of deploying machine learning models.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum covers foundational and advanced topics in machine learning, deep learning, robotics, computer vision, and convex optimization.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. AI Ethics and Applications
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, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and statistics.
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

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

Estimated Industry Salary
Machine Learning Engineer: $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 Software Developer
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, Meta, and tech firms like NVIDIA and OpenAI.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 27,987
Format
On-Campus
Specializations
Computer Vision
Machine Learning
Official Resources
Program Website
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