2025-2026 Undergraduate & Graduate Catalog [In Progress]

Bachelor of Science in Artificial Intelligence

Requirements for a Major in Artificial Intelligence

1. Degree Requirements

Students must complete the general university degree requirements as identified in the General Academic Regulations section of the catalog. The university B.S. requirements are met through STA 215, STA 301, and MTH 225.

2. Artificial Intelligence Major

Artificial Intelligence majors must complete the following courses with a minimum 2.0 GPA.

The Artificial Intelligence (AI) Major 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.

Core Courses

Total 52 credits.

Required Non-computing Courses (25-26 credits)

Elective Courses

Take twelve credits within a given track; the course tracks are shown below:

Track: Artificial Intelligence Systems

The Artificial Intelligence Systems track prepares students to build, deploy, and maintain AI systems with a focus on Machine Learning Operations, generative AI, and reinforcement learning. Students gain essential skills in AI software development, testing, and architecture, preparing them for roles as AI engineers, Machine Learning Operations engineers, and AI software developers.

Required

AI 445 - Machine Learning Operations (3 credits))

Choose 3 of the following

Total 12 credits.

Track: Cybersecurity and Artificial Intelligence

The Cybersecurity and Artificial Intelligence track equips students to design, develop, and secure AI systems by integrating core principles of AI trust, security, and ethical hacking. Students gain specialized knowledge in AI security, software assurance, and trustworthy AI, preparing them for roles as AI security analysts, cybersecurity engineers, and ethical hackers in sectors where AI-driven systems must be robust, secure, and ethically sound.

Required

Choose 2 of the following

Total 12 credits.

Track: Edge and Cloud Artificial Intelligence

The Edge and Cloud Artificial Intelligence track prepares students to develop, deploy, and manage AI systems on edge devices and cloud platforms. Students gain skills in hardware-software integration, pervasive computing, and Machine Learning Operations, enabling them to excel as cloud AI engineers, edge AI developers, and system security specialists in industries requiring scalable, low-latency AI solutions.

Required

Choose 2 of the following

Total 12 credits.

Suggested Order of Coursework

This suggested order of coursework assumes that students will seek the help of their advisor to complete the courses in a timely manner. The following course sequence also assumes a strong mathematics background for the entering student. If mathematics deficiencies exist, completing the mathematics prerequisites should be the student's top priority.

Year One