DoctoralOn-CampusFull-Time

The University of Utah

PhD in Computing – Artificial Intelligence Track

Salt Lake City, Utah5 years$24K total tuition
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How this program compares

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Est. Salary$135,000 Machine Learning Engineer
Job Growth+36%
Top RoleAI Research Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
PhD in Computing
Duration
5 years
Est. Tuition
$24K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Computer Vision, AI Engineering / Applied AI

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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