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
  • Design and implement supervised, unsupervised, and reinforcement learning models.
  • Apply deep neural networks to image recognition and natural language tasks.
  • Evaluate AI systems for bias, ethics, and societal impact.
  • Develop scalable AI solutions for real-world data problems.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The MS in AI and Machine Learning is a 30-36 credit graduate program focusing on foundational AI concepts, advanced machine learning algorithms, deep learning techniques, and real-world applications through capstone projects.
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)

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

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ 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.

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%
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.
Program Details
Duration
  • 2 Year
Tuition
$ 27,987
Format
On-Campus
Specializations
Computer Vision
Machine Learning
Official Resources