Michigan Tech's Foundations in Artificial Intelligence Graduate Certificate combines classroom learning and practical applications to explore fundamental topics in the field of artificial intelligence (AI). Build a strong, foundational understanding in AI and machine learning while analyzing and designing algorithms, models, and agents.
Course Work Summary
This course incorporates both classroom learning and hands-on projects with practical, real-world applications. Enrolling students are required to have a bachelor's degree in computer science, computer engineering, or software engineering.
Current Students
Required Course
The required course must be completed.
| Item | Details |
|---|---|
| Department | Computer Science |
| Admissions requirement | BS in Computer Science, Computer Engineering, Software Engineering, or a related field. |
| Program Director | |
| Program Assistant | |
| Length | 3 courses in 2-3 semesters |
| Effort | 3 hours per credit per week |
| Each Course | 3 credits |
| Total Credits | 9 credits |
| Already enrolled? | Speak with your advisor. |
Application Process and Admissions Requirements
Applications are reviewed on an individual basis using a holistic approach. Fill out our free graduate application online to apply to any of our programs. Official transcripts and scores are not required for the initial application, although you will need to upload them later.
Accredited by HLC
Michigan Tech has been accredited by the Higher Learning Commission (HLC) since 1928. Our Graduate School offers over
125 certificates, master's, and PhD programs to provide our students and the world
with what tomorrow needs.

