University of North Dakota
PhD in Artificial Intelligence
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 $71.3K in total tuition, the PhD in Artificial Intelligence sits roughly 14% below the $82.9K average for AI doctoral programs in our database β placing it in the 55th percentile on cost among the 42 we track at this level.
Admission Snapshot
Typical admitted student: A master's degree in computer science, AI, or a related field with a minimum GPA of 3.0 is typically required, along with demonstrated research experience or publications. GRE scores are often optional, with strong emphasis on research potential and relevant technical background.
About This Program
This doctoral program prepares students to become researchers and experts in AI through a comprehensive curriculum and interdisciplinary collaboration. Coursework concentrates on Computer Vision and AI Engineering / Applied AI. Most students complete it in about 4.5 years.
Estimated total tuition is $71.3K, below the $82.9K average for AI doctoral programs in our database and in the 55th 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 machine learning 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 machine learning
- 1. AI Research Scientist
- 2. Machine Learning Engineer
- 3. Data Science Director
- 4. AI Professor/Academic Researcher
What You'll Learn
- Design and implement advanced machine learning models for real-world applications.
- Conduct original research in AI methodologies and computational intelligence.
- Analyze and manage large-scale data for AI-driven insights.
- Evaluate ethical implications and societal impacts of AI systems.
- Develop novel AI algorithms for optimization and decision-making.
Curriculum Highlights
The 90-credit program focuses on AI foundations, machine vision, robotics, cognitive psychology, and computational intelligence techniques.
Top Employers
Top employers include Google, Microsoft, OpenAI, and research institutions like national labs and universities.
Admissions
A master's degree in computer science, AI, or a related field with a minimum GPA of 3.0 is typically required, along with demonstrated research experience or publications. GRE scores are often optional, with strong emphasis on research potential and relevant technical background.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Master's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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