MasterOn-CampusPart-Time

Tarleton State University

MS in AI and Machine Learning

Stephenville, Texas2 years$28K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $28.0K in total tuition, the MS in AI and Machine Learning sits roughly 34% below the $42.4K average for AI master's programs in our database β€” placing it in the 41st percentile on cost among the 531 we track at this level.

Est. Salary$120,000
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
2 years
Est. Tuition
$28K total
Format
On-Campus
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Computer Vision, Machine Learning

Typical admitted student: 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.

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. Coursework concentrates on Computer Vision and Machine Learning. Most students complete it in about 2 years.

Estimated total tuition is $28.0K, below the $42.4K average for AI master's programs in our database and in the 41st percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Lead as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. AI Research Scientist
  • 3. Data Scientist
  • 4. AI Software Developer

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.

Curriculum Highlights

The curriculum covers foundational and advanced topics in machine learning, deep learning, robotics, computer vision, and convex optimization.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and tech firms like NVIDIA and OpenAI.

Admissions

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.

Application Materials

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

Academic Requirements

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

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