The University of Utah
PhD in Computing – Artificial Intelligence Track
How this program compares
Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.
Admission Snapshot
Typical admitted student: 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.
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.
Career Outcomes
Pursue advanced AI Research Scientist in Cross-Industry AI through machine learning
- 1. AI Research Scientist
- 2. Machine Learning Engineer
- 3. Data Science Leader/Director
- 4. AI Ethics and Policy Specialist
What You'll Learn
- Design and analyze machine learning algorithms with rigorous theoretical foundations and real-world applications
- Develop explainable AI systems that integrate human-centered decision-making and interpretability across domains
- Build robust, efficient AI models for scientific discovery, medical diagnostics, and autonomous systems
- Apply advanced mathematical and statistical methods to solve complex, interdisciplinary AI challenges
Curriculum Highlights
The curriculum includes core theory courses, intensive research credits, and flexible elective areas tailored to individual research tracks and technological interests.
Top Employers
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.
Admissions
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3 (at least 2 from academic references)
- Resume: Required
- Transcripts: Official transcripts required for final acceptance
Academic Requirements
- 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+)
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