UT

PhD in AI
On-Campus

The University of Utah

PhD in Computing – Artificial Intelligence Track

  • Salt Lake City
About This Program

This doctoral program focuses on advanced research in artificial intelligence, emphasizing the development of theory, systems, and hardware while providing flexibility for specialized studies.

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What You'll Learn

Students develop high-level expertise in machine learning, computer vision, natural language processing, and robotics to solve complex computational problems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes core theory courses, intensive research credits, and flexible elective areas tailored to individual research tracks and technological interests.
Typical Course Topics
1. Machine Learning and Deep Learning Theory 2. Natural Language Processing and Large Language Models 3. Computer Vision and Multimodal AI Systems 4. Reinforcement Learning and Human-AI Alignment 5. Explainable AI and Interpretability Methods 6. AI for Scientific Discovery and Domain Applications
Program Specializations:
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related field with a strong GPA (typically 3.5+ in quantitative coursework). A master's degree is preferred but not required; research experience, demonstrated programming proficiency, and a clear research statement are essential.
Academic Requirements (Typical)

• Degree Required: PhD in Computing
• GRE/GMAT: Optional; research portfolio may be submitted instead
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3 (at least 2 from academic references)
• Resume: Required
• Transcripts: Official transcripts required for final acceptance

Application Timeline

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

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Career Opportunities in AI

Pursue 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/Engineer: $135,000 Machine Learning Engineer: $130,000 Data Science Director: $145,000 AI Product Manager: $125,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Research Scientist 2. Machine Learning Engineer 3. Data Science Leader/Director 4. AI Ethics and Policy Specialist
Top AI Employers (Industry-Wide):
Top employers include major technology firms like Google, Microsoft, Meta, and OpenAI, alongside research institutions, government agencies, and healthcare organizations investing in AI-driven innovation.
Explore AI Career Paths
Program Details
Duration
  • 5 Year
Tuition
  • 24,192
Format
On-Campus
Specializations
Computer Vision
Official Resources
Program Website
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