Artificial Intelligence Ph.D. at University of North Dakota

Programme overview

Unlock the future of innovation and tackle society’s most pressing AI challenges through advanced study in artificial intelligence. Become a leading AI expert through our Artificial Intelligence Ph.D. program. Go beyond the basics, blending theoretical foundations with practical applications in machine learning, robotics, ethics, and more.

Faculty: School of Electrical Engineering & Computer Science | Duration: 4-5 years (90 credit hours) | Study mode: full-time | Intake: Fall (Aug 1), Spring (Dec. 1) | Location: Grand Forks, ND, United States

What you will study

Students seeking the Doctor of Philosophy in Computer Science degree must satisfy all general requirements set forth by the School of Graduate Studies. In addition, they must meet the following requirements set by the School of Electrical Engineering and Computer Science: Master's degree must be in an approved topic related to computing. Required courses include DATA 530 Artificial Intelligence; DATA 532 Applied Machine Learning; PHIL 570 Philosophical and Ethical Implications of AI and Emerging Technologies; CSCI 575 Analysis of Algorithms; PSYC 532 Cognitive and Behavioral Foundations in AI; COMM 406 Future of Communication Technology.

Career pathways

A Ph.D. in Artificial Intelligence will offer you a variety of fulfilling career paths across tech, business and academia. The demand for skilled professionals in these areas is expected to continue rising as AI technologies become more integrated into daily life and business processes; potential careers include:

Official programme page

Application information

Entry requirements

Master’s degree, normally in a computing, engineering, or science related field or a Bachelor’s degree, normally in a computing, engineering, or science related field. An overall GPA of at least 3.0 (on a 4.0 scale) for the bachelor's degree, and master's if applicable. Satisfy the School of Graduate Studies’ English Language Proficiency requirements as listed in the Graduate Academic Information section. The School of Electrical Engineering and Computer Science recognizes that the prerequisite expertise identified above may be acquired in a variety of ways. Students who do not meet all of the requirements may be admitted with provisional status with the obligation to meet the remaining requirements early in their graduate study.

Domestic applicants: USD 14,700 a year (2026-27). North Dakota resident rate. On-campus tuition for 2026/2027 as shown in the programme's tuition table (fall and spring semesters, rate band 'Engineering (including Computer Science & Geology)'); excludes mandatory student fees, housing and books. The same Source

International applicants: USD 29,401 a year (2026-27). International student rate. On-campus tuition for 2026/2027 as shown in the programme's tuition table (fall and spring semesters, rate band 'Engineering (including Computer Science & Geology)'); excludes mandatory student fees, housing and books. Source

Terms run Fall (August-December), Spring (January-May) and Summer (May-August).

Graduate applications go through the UND admissions application with a $35 non-refundable fee (no waivers); each graduate program sets its own deadline, listed in the Program Finder.

International graduate applicants: Fall May 1, Spring Sept. 1, Summer Feb. 1, unless the program sets a specific deadline. Application fee $35.

Apply through the official page: https://und.edu/admissions/graduate/apply.html

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