The University of Texas at Austin
PhD in Computer Science (AI)
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $32.5K in total tuition, the PhD in Computer Science (AI) sits roughly 61% below the $82.9K average for AI doctoral programs in our database β placing it in the 17th percentile on cost among the 42 we track at this level.
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 $82.9K average for AI doctoral programs in our database and in the 17th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Drive advanced AI Research Scientist in Cross-Industry AI through machine learning Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $145,000.
Career Outcomes
Drive advanced AI Research Scientist in Cross-Industry AI through machine learning
- 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
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Master's preferred (Bachelor's acceptable with strong research experience)
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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