The Artificial Intelligence for Engineering Data Analytics graduate certificate comprises courses from the College of Engineering’s online Master of Engineering in Data Analytics (MEDA) program and the Department of Industrial and Systems Engineering’s graduate curriculum. This certificate equips graduate students with specialized expertise in AI-driven data analysis, as well as the design, development, and deployment of AI applications. The nine-credit graduate certificate is designed to integrate with all online graduate programs offered by the College of Engineering and the professional Master of Science programs within the Department of Industrial and Systems Engineering.

Admissions

This certificate is open to College of Engineering students enrolled in the following programs:

All Graduate School students must utilize the Graduate Student Portal in MyUW to add, change, or discontinue any graduate/professional certificate. To apply to this certificate, log in to MyUW, click on Graduate Student Portal, and then click on Add/Change Programs. Select the information for the certificate for which you are applying. Professional students in the careers of Law, Medicine, Pharmacy, and Veterinary cannot add the certificate in the Graduate Student Portal and should contact the program for more information.

Graduate students who have additional questions about the Artificial Intelligence for Engineering Data Analytics certificate should contact studentservices@interpro.wisc.edu

Requirements

Required Courses

Core
I SY E 521 Machine Learning in Action for Industrial Engineers3
E P D 522 Generative Artificial Intelligence for Engineering Applications3
Elective
Students must complete one of the following courses.3
Engineering Applications of Statistics
Introduction to Decision Analysis
Total Credits9

Learning Outcomes

  1. Understand the foundations of artificial intelligence (AI).
  2. Analyze and interpret data using artificial intelligence (AI).
  3. Demonstrate the ability to utilize AI methods to solve complex engineering problems.
  4. Design, develop, and deploy AI applications using current technologies and platforms.