MasterOn-Campus, OnlinePart-Time

Tarleton State University

MS in Artificial Intelligence and Machine Learning

Stephenville, Texas2 years$20K total tuition
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How this program compares

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Est. Salary$125,000 AI/ML Research Scientist
Job Growth+36%
Top RoleData Scientist
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Master of Science (MS)
Duration
2 years
Est. Tuition
$20K total
Format
On-Campus, Online
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Computer Vision, Machine Learning

Typical admitted student: Applicants must hold a bachelor's degree, preferably in computer science, mathematics, engineering, or a related quantitative field. Strong prerequisites in linear algebra, discrete mathematics, and advanced programming (Python, Java, or C++) are typically required; a minimum undergraduate GPA of 3.0 and competitive standardized test scores (GRE) strengthen applications.

About This Program

Available online or face-to-face, this master’s degree provides specialized training in creating computer programs with cognitive abilities similar to biological systems.

Career Outcomes

Advance as Data Scientist in Cross-Industry AI with computer vision expertise

  • 1. Machine Learning Engineer
  • 2. AI/ML Research Scientist
  • 3. Data Scientist (AI/ML specialization)
  • 4. AI Systems Architect

What You'll Learn

  • Design and implement machine learning models using supervised and unsupervised learning techniques to solve real-world problems
  • Build and optimize deep neural networks and understand their applications in computer vision, NLP, and other domains
  • Apply statistical methods and data mining techniques to extract insights from large datasets
  • Develop and evaluate AI systems while considering ethical implications, scalability, and deployment strategies

Curriculum Highlights

Structure includes independent research projects or a thesis, with course themes focused on neural networks, parallel computing, and advanced computer vision.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, OpenAI, IBM, Tesla, and government research laboratories (NIST, DOE, DARPA).

Admissions

Applicants must hold a bachelor's degree, preferably in computer science, mathematics, engineering, or a related quantitative field. Strong prerequisites in linear algebra, discrete mathematics, and advanced programming (Python, Java, or C++) are typically required; a minimum undergraduate GPA of 3.0 and competitive standardized test scores (GRE) strengthen applications.

Application Materials

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

Academic Requirements

  • Degree Required: Master of Science (MS)
  • GRE: Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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