The University of Utah

How this program compares

Budget-wise, $24.2K puts this doctoral program at the 6th percentile on cost — roughly 72% below the $87.2K average across 36 comparable listings. It runs on a full-time schedule (on-campus).

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. Coursework concentrates on Computer Vision and AI Engineering / Applied AI. Most students complete it in about 5 years.

At roughly $24.2K total, The University of Utah's PhD in Computing – Artificial Intelligence Track sits below the $87.2K average among AI doctoral programs we track — the 6th percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 11 AI-related programs we track in Utah, of which about 36% offer an online option. On price, it comes in cheaper than about 55% of the Utah programs in our data, where typical tuition runs near $41.2K.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $125,000.

Design and analyze machine learning algorithms with rigorous theoretical foundations and real-world applications.

Career Outcomes

The University of Utah positions this doctoral track for AI Research Scientist careers — typical offers cluster around $125,000. Its focus on Computer Vision and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% 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 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

Admission to The University of Utah's PhD in Computing – Artificial Intelligence Track generally expects a phd in computing. 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 (at least 2 from academic references)
• Resume: Required
• Transcripts: Official transcripts required for final acceptance

Frequently Asked Questions