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2025-2026 Undergraduate & Graduate Catalog

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Master of Science in Artificial Intelligence

Requirements for the M.S. in Artificial Intelligence

The M.S. in Artificial Intelligence (AI) at Grand Valley State University is an applied, industry-focused program designed to equip students with practical, hands-on experience and technical expertise, preparing them for high-impact roles in AI-driven sectors.

All candidates for the degree must complete a total of 33 credits, including the following:

  • Core courses (12 credits)
  • Tracks courses (12 credits)
  • Electives (3 to 6 credits)
  • Capstone (3 or 6 credits)

Students must complete at least three elective credits. Additional elective credits will be required if the project option is chosen to meet the capstone requirement (instead of the thesis option). In this case, up to six credits of electives may be needed. Any College of Computing 500 or 600 level course can be used as an elective toward the M.S. in Artificial Intelligence degree.

Note: If students have already completed 12 credit hours of 4xx/5xx dual-listed courses, they must not take additional 4xx/5xx dual-listed courses to fulfill the elective course requirement.

The College of Computing faculty work closely with our Computing Advisors to ensure that our curriculum pathways are clearly articulated to students entering the degree. During a student's time at GVSU, they are assigned a faculty advisor. Both advisor and faculty member are knowledgeable about the specific requirements of the major and can provide guidance to students through email, electronic, or in-person meetings to ensure a student is on track to graduate. In addition, our professional advisors have developed plans of study that show a pathway for students to complete their degree. Plans of study are robust, with unique pathways for the various math starting points in the major. Our advising staff also perform significant communication outreach to students through regular newsletter communications and engagement with students on electronic platforms like the Computing Student Discord.

Note: (*) Students are limited to 12 credits of courses that are dual-listed.

Core Courses

Students are required to complete 4 courses for a total of twelve credits:

Required:

Choose 2 of the following:

*Designates classes that are dual-listed courses.

Tracks

All candidates are required to complete one of the following tracks:

Choose a track and take 4 courses from that track.

Human Centered Artificial Intelligence

Required

Choose 3 of the following

*Designates classes that are dual-listed courses.

Edge and Cloud Artificial Intelligence

Required

Choose 3 of the following

*Designates classes that are dual-listed courses.

Artificial Intelligence Systems

Required

Choose 2 of the following

*Designates classes that are dual-listed courses.

Cybersecurity and Artificial Intelligence

Choose 4 of the following:

*Designates classes that are dual-listed courses.

Elective Courses

Students must complete at least three elective credits. Additional elective credits will be required if the project option is chosen to meet the capstone requirement (instead of the thesis option). In this case, up to six credits of electives may be needed. Any College of Computing 500 or 600 level course can be used as an elective toward the M.S. in Artificial Intelligence degree. Note: If students have already completed 12 credit hours of 4xx/5xx dual-listed courses, they must not take additional 4xx/5xx dual-listed courses to fulfill the elective course requirement.

Capstone

Each candidate must complete either the three-credit project course, or the six-credit thesis sequence. Please contact the graduate program director one semester prior to starting any of these.

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