Angelo State University

How this program compares

At an estimated $12.5K in total tuition, the MS in Artificial Intelligence sits roughly 70% below the $42.4K average for AI master's programs in our database — placing it in the 7th 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 typically need a bachelor's degree in computer science, mathematics, engineering, or a related field, with a competitive GPA (3.0+) and demonstrated coursework in linear algebra, calculus, and programming. Some programs require the GRE, particularly with a quantitative focus.

About This Program

This 100% online graduate program provides advanced training in AI, preparing students to solve complex real-world problems and drive innovation across diverse industry sectors through flexible learning options. Coursework concentrates on MLOps/AI Engineering and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $12.5K, below the $42.4K average for AI master's programs in our database and in the 7th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Excel as Computer Vision Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Computer Vision Engineer, with reported salaries around $118,000.

Career Outcomes

Excel as Computer Vision Engineer in Cross-Industry AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Systems Architect

What You'll Learn

• Design and implement machine learning models for classification, regression, and clustering tasks
• Develop natural language processing applications and large language model systems
• Apply AI techniques to real-world problems in computer vision, robotics, and intelligent systems
• Evaluate AI systems for ethical implications, bias, governance, and responsible deployment

Curriculum Highlights

The curriculum features foundational AI courses and elective tracks, culminating in a choice between a research-focused thesis or a practical, application-oriented capstone project.

Top Employers

Top employers include Google, Microsoft, OpenAI, Meta, Amazon Web Services, and leading technology and financial services firms investing in artificial intelligence development and deployment.

Admissions

Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related field, with a competitive GPA (3.0+) and demonstrated coursework in linear algebra, calculus, and programming. Some programs require the GRE, particularly with a quantitative focus.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required
• Portfolio or coding samples: Recommended

Academic Requirements

• Degree Required: Bachelor's degree in STEM or related field
• GRE/GMAT: Required (quantitative section emphasized)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)