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.