TX

PhD in AI
On-Campus

The University of Texas at Austin

PhD in Computer Science (AI)

  • Austin
About This Program

This top-tier research degree focuses on machine cognition and the development of innovative breakthroughs in artificial intelligence.

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What You'll Learn

Students learn machine learning, knowledge representation, and robotics while conducting pioneering research alongside leading faculty experts.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum emphasizes core computer science foundations, machine learning theory, computer vision, and natural language processing.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. Advanced Algorithms for AI
Program Specializations:
Natural Language Processing (NLP)
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• 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+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Drive advanced AI Research Scientist in Cross-Industry AI through machine learning

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Research Scientist: $150,000 Machine Learning Engineer: $145,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Research Scientist 2. Machine Learning Professor 3. AI Technical Lead 4. Data Science Director
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, OpenAI, and research institutions like national labs and universities.
Explore AI Career Paths
Program Details
Duration
  • 5 Year
Tuition
  • 32,544
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Computer Vision
Official Resources
Program Website
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