DoctoralOn-CampusFull-Time

Arizona State University

PhD in Computer Science (AI Research)

Tempe, Arizona5 years$78K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $78.2K in total tuition, the PhD in Computer Science (AI Research) sits roughly 6% below the $82.9K average for AI doctoral programs in our database β€” placing it in the 60th percentile on cost among the 42 we track at this level.

Est. Salary$145,000
Job Growth+23%
Top RoleAI Research Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's or Master's in Computer Science or related field
Duration
5 years
Est. Tuition
$78K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Artificial Intelligence & Machine Learning, AI Engineering / Applied AI

Typical admitted student: A bachelor's or master's degree in computer science or related field is required, with a minimum GPA of 3.5 (undergraduate) or 3.7 (graduate), strong background in algorithms, data structures, and programming, and evidence of research potential such as publications or projects.

About This Program

A doctoral degree program that prepares students to conduct original, independent research and invent new concepts for designing efficient and reliable artificial intelligence systems. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 5 years.

Estimated total tuition is $78.2K, below the $82.9K average for AI doctoral programs in our database and in the 60th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Pursue advanced AI Research Scientist in Cross-Industry AI through artificial intelligence Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $145,000.

Career Outcomes

Pursue advanced AI Research Scientist in Cross-Industry AI through artificial intelligence

  • 1. AI Research Scientist
  • 2. Machine Learning Engineer
  • 3. University Professor
  • 4. AI Technical Lead

What You'll Learn

  • Design and implement advanced AI models for complex problem-solving.
  • Conduct original research in machine learning and publish in peer-reviewed venues.
  • Analyze and optimize algorithms for AI systems like neural networks and reinforcement learning.
  • Apply AI techniques to real-world applications such as natural language processing and computer vision.

Curriculum Highlights

The 84-credit-hour curriculum requires core foundations in algorithms and AI, comprehensive exams, extensive research hours, and the completion of a significant doctoral dissertation.

Top Employers

Top employers include Google, Microsoft, OpenAI, and Amazon.

Admissions

A bachelor's or master's degree in computer science or related field is required, with a minimum GPA of 3.5 (undergraduate) or 3.7 (graduate), strong background in algorithms, data structures, and programming, and evidence of research potential such as publications or projects.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 3
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: Bachelor's or Master's in Computer Science or related field
  • GRE/GMAT: Optional
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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