Graduate Certificate Options in MSEM

Within the 30 credits of MSEM studies, students can get certificate credentials along the way by choosing the appropriate sets of courses.

PML: Project Management and Leadership Certificate → 3 courses
MIE 645 Project Budgeting and Finance for Engineers
MIE 664 Engineering Leadership and Entrepreneurship
MIE 670 Technical Project Management

DAN: Decision Analytics Certificate → 3 courses
MIE 621 Descriptive Analytics
MIE 622 Predictive Analytics and Statistical Learning
MIE 623 Prescriptive Analytics

AI Engineering → 3 courses
Core 1: (Pick Only one)
CEE 601 Machine Learning Foundations and Applications
MIE 622 Predictive Analytics and Statistical Learning

Core 2: (Pick Only one)
ECE 601 Machine Learning for Engineers
CEE 616 Probabilistic Machine Learning
MIE 690D Deep Learning for Engineering Application

Electives: (Pick Only one, see the note below)
AI/ML Methods
CEE 790ST Advanced Probabilistic Machine Learning
MIE 624 Machine Learning for Dynamic Decision-Making

Engineering Applications
BME 615 AI in Biomedicine
ECE 627 Artificial Intelligence Based Wireless Network Design
ECE 629 Applied Machine Learning for the Internet of Things
MIE 659 Intelligent Manufacturing
MIE 650 Vehicle Automation

Hardware Design
ECE 662 Hardware Design for Machine Learning Systems
ECE 676 Neuromorphic Engineering

Signal Processing
ECE 746 Statistical Signal Processing
ECE 608 Signal Theory
BME 609 Biomedical Signals and Systems

Note: Any of the courses listed above can only be double counted towards a degree program and a graduate certificate. Triple counting of courses is not allowed. To earn two graduate certificates with an overlapping course, students pursuing the AI certificate must take an additional elective from the list above to meet the academic requirements.