The University of Texas at Austin

How this program compares

Budget-wise, $12K puts this master's program at the 7th percentile on cost — roughly 72% 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: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages and strong mathematical background in linear algebra and statistics.

About This Program

This online master's degree focuses on advanced computing topics, offering specialized tracks for those pursuing careers in AI and machine learning. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 1.5 years.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $140,000.

Design and implement supervised and unsupervised machine learning models.

Estimated total tuition is $12K, below the $42.9K 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.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in cheaper than about 77% of the Texas programs in our data, where typical tuition runs near $41.5K.

Career Outcomes

Graduates of The University of Texas at Austin's Master's in Computer Science - Artificial Intelligence and Machine Learning most often target AI Engineer roles, where reported compensation runs around $140,000. Its focus on Natural Language Processing (NLP) and Machine 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. Computer Vision Engineer

What You'll Learn

• Design and implement supervised and unsupervised machine learning models
• Build and train deep neural networks for complex data patterns
• Develop natural language processing systems for text analysis and generation
• Apply computer vision techniques for image recognition and object detection

Curriculum Highlights

The curriculum covers core computer science principles with specialized depth in machine learning algorithms, deep learning, and their practical applications.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and AI-focused startups like OpenAI and NVIDIA.

Admissions

Admission to The University of Texas at Austin's Master's in Computer Science - Artificial Intelligence and Machine Learning generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. 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
• Transcripts: Official transcripts required

Frequently Asked Questions