The University of Texas at Austin

How this program compares

At an estimated $10K in total tuition, the Online MS in Artificial Intelligence sits roughly 76% below the $42.4K average for AI master's programs in our database — placing it in the 3rd 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 in computer science, mathematics, engineering, or a related field with a strong foundation in programming and mathematics. GRE scores are required, and a minimum undergraduate GPA of 3.0 is typically expected.

About This Program

UT Austin's online MS in Artificial Intelligence is one of the few fully online AI master's degrees from a top-ranked CS department, delivered at a remarkably low total cost (~$10K). It brings the same rigorous AI curriculum — machine learning, deep learning, NLP, and reinforcement learning — to a scalable online format.

The program targets working professionals who want genuine theoretical depth and a respected credential without the price tag of comparable programs, making it one of the best values in AI education.

Career Outcomes

Position as AI Research Scientist in Cross-Industry AI with machine learning expertise

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

What You'll Learn

• Design and implement machine learning models using supervised, unsupervised, and reinforcement learning techniques
• Develop deep neural networks and apply them to real-world problems in computer vision and natural language processing
• Apply AI algorithms to practical applications while understanding theoretical foundations in mathematics and computer science
• Evaluate and deploy AI systems responsibly, considering ethical implications and governance frameworks

Curriculum Highlights

The 30-hour program consists of 10 courses, including required foundations in deep learning, reinforcement learning, and planning.

Top Employers

Top employers in AI include Google, Microsoft, Amazon, Meta, OpenAI, IBM, and leading financial and healthcare organizations implementing AI technologies.

Admissions

Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related field with a strong foundation in programming and mathematics. GRE scores are required, and a minimum undergraduate GPA of 3.0 is typically expected.

Application Materials

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

Academic Requirements

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