The University of Utah

How this program compares

At an estimated $24.2K in total tuition, the PhD in Computing – Artificial Intelligence Track sits roughly 71% below the $82.9K average for AI doctoral programs in our database — placing it in the 5th percentile on cost among the 42 we track at this level.

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.

Estimated total tuition is $24.2K, below the $82.9K average for AI doctoral programs in our database and in the 5th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Pursue 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 $125,000.

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+)