Arizona State University
PhD in Computer Science (AI Research)
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.
Admission Snapshot
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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