The University of Texas at Austin

How this program compares

The University of Texas at Austin's PhD in Computer Science (AI) lists about $32.5K total tuition — roughly 63% below the $87.2K AI doctoral average (19th percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Requires a master's or bachelor's degree in computer science or related field, minimum GPA of 3.5, strong research background, and relevant programming/AI experience. GRE is often optional but letters of recommendation highlighting research potential are essential.

About This Program

This top-tier research degree focuses on machine cognition and the development of innovative breakthroughs in artificial intelligence. Coursework concentrates on Natural Language Processing (NLP) and Computer Vision. Most students complete it in about 5 years.

Estimated total tuition is $32.5K, below the $87.2K average for AI doctoral programs in our database and in the 19th 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 higher than about 59% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $145,000.

Design and implement advanced machine learning models for complex AI systems.

Career Outcomes

Graduates of The University of Texas at Austin's PhD in Computer Science (AI) most often target AI Research Scientist roles, where reported compensation runs around $145,000. Its focus on Natural Language Processing (NLP) and Computer Vision maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Research Scientist
• 2. Machine Learning Professor
• 3. AI Technical Lead
• 4. Data Science Director

What You'll Learn

• Design and implement advanced machine learning models for complex AI systems.
• Conduct original research in AI subfields like deep learning and reinforcement learning.
• Analyze and optimize AI algorithms for real-world applications such as NLP and computer vision.
• Develop ethical AI solutions addressing bias, privacy, and societal impacts.

Curriculum Highlights

The curriculum emphasizes core computer science foundations, machine learning theory, computer vision, and natural language processing.

Top Employers

Top employers include Google, Microsoft, OpenAI, and research institutions like national labs and universities.

Admissions

Admission to The University of Texas at Austin's PhD in Computer Science (AI) generally expects a master's preferred (bachelor's acceptable with strong research experience). 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: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions