The University of Texas at Austin

How this program compares

Budget-wise, $10K puts this master's program at the 3rd percentile on cost — roughly 77% below the $42.9K average across 394 comparable listings. It is one of the 54% 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

The Online MS in Artificial Intelligence at The University of Texas at Austin (Austin, Texas) is oriented toward AI Research Scientist hiring, with alumni reporting pay near $120,000. Its focus on Machine Learning and Deep Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to The University of Texas at Austin's Online MS in Artificial Intelligence generally expects a master of science (ms). Plan for the GRE, which this program lists as required. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions