Tarleton State University

How this program compares

At an estimated $20.3K in total tuition, the MS in Artificial Intelligence and Machine Learning sits roughly 52% below the $42.4K average for AI master's programs in our database — placing it in the 28th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

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

Estimated total tuition is $20.3K, below the $42.4K average for AI master's programs in our database and in the 28th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Advance as Data Scientist in Cross-Industry AI with computer vision expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $128,000.

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+)