About the Program
Students enrolled in the co-major will gain foundational and applied knowledge in AI through courses in data science, machine learning, neural networks, computer vision and intelligent systems. Examples of courses offered in the co-major include:
- Introduction to Neural Networks and Deep Learning
- Artificial Intelligence
- Intelligent Systems and Machine Learning
- GPU/High-Performance Computing
Additional details, course descriptions and requirements will be published this summer in the 2026-27 Academic Catalog.
Primary Major Options
The AI engineering co-major is open to all majors, but easier for the following to complete:
Why a Co-Major?
Having a AI engineering specialization in addition to a primary engineering field provides depth and differentiation to your technical qualifications, providing a competitive advantage for post-graduate employment or graduate school.
Declaring the Co-Major
Students can apply to the AI engineering co-major on the admission application. Because co-majors must be paired with a primary major, students who apply to AI engineering will be placed in the Discover Engineering program as their primary major. Admitted students can change their primary major by contacting the Office of Recruitment and Admission, or enrolled students can meet with their advisor to declare either chemical engineering or mechanical engineering as their primary major.
Additional Information
With appropriate academic planning, you can complete a co-major within the standard eight semesters — even with the additional credits it requires. You and your holistic academic advisor can work together to plan your degree path. You also can use our online Transfer Credit Evaluation tool to find out which college credits you've already earned (e.g., transfer credit, CCP, AP/IB/CLEP exams) might apply to your undergraduate degree.
Please contact Keigo Hirakawa if you have additional questions about this co-major.
