Cyber-Physical Systems (Graduate Certificate)

As the world gets "smarter" and more connected, Wayne State is demonstrating a commitment to innovation in connectivity and influence in transforming how people interact with and manipulate the physical world. This certificate program is the first of its kind in Michigan, focusing on mechanisms known as CPS, which are designed as a seamless network of physical components (also known as the Internet of Things) and computational algorithms instead of as standalone devices.

Admission Requirements

Admission to this program is contingent upon admission to the Graduate School. Students currently enrolled in a graduate program in the College of Engineering, or students who have already completed a Master’s or Ph.D. degree in a discipline of engineering can be admitted to the program (must be approved by the program director). Admission into the graduate program requires a minimum grade point average of 3.0.

Students must complete CSC 5280/ECE 5280: Introduction to Cyber-Physical Systems (CPS) as well as two-intermediate-level courses and one advanced course in one of the CPS tracks: Sensing, Computer and Networking, Control and Robotics, Smart Transportation, Smart Grid, or Smart Health.

A maximum of nine credits taken in the CPS Graduate Certificate Program may be applied toward a graduate degree subject to approval of the relevant academic unit and Graduate Office.  All requirements must be completed within three years with a minimum 3.0 GPA required in the certificate coursework. All course work must be completed in accordance with the regulations of the Graduate School and the College of Engineering

Sensing Track

Introductory course:3
Introduction to Cyber-Physical Systems
Intermediate level courses (select two):6
Introduction to Micro and Nano Electro Mechanical Systems (MEMS/NEMS)
Biomedical Instrumentation
Introduction to Machine Learning and Applications
Digital Image Processing and Analysis
Computer Graphics I
Computer Graphics II
Topics in Computer Science
Advanced level course (select one):3
Smart Sensor Technology II: Characterization and Fabrication
Biomedical Microsystems
Machine Learning
Computer Vision
Advanced Topics in Computer Science
Total Credits12

Computing and Networking Track

Introductory course:3
Introduction to Cyber-Physical Systems
Intermediate level courses (select two):6
Embedded System Design
Introduction to Machine Learning and Applications
Real-Time and Embedded Operating Systems
Computer Networks and Programming
Computer Networking Applications
Data Communication and Computer Networks
Topics in Computer Science
Computer Systems Security
Special Topics in Computer Science
Computational Modeling of Complex Systems
Advanced level course (select one):3
Advanced Topics in Computer Science
Seminar in Networking, Distributed Systems and Parallel Systems
Special Topics in Electrical and Computer Engineering II
Machine Learning
Advanced Computer Security
Total Credits12

Control and Robotics Track 

Introductory course:3
Introduction to Cyber-Physical Systems
Intermediate level courses (select two):8
Introduction to Robotic Systems
Computer-Controlled Systems
Control Systems II
Advanced level course (select one):4
Nonlinear Control Systems
Control of Discrete Event Systems
Dynamic Systems and Optimal Control
Medical Robotics and Systems
Total Credits15

Smart Transportation Track

Introductory course:3
Introduction to Cyber-Physical Systems
Intermediate level courses (select two):6-7
Special Topics in Civil Engineering I
Special Topics in Civil Engineering II
Introduction to Machine Learning and Applications
Advanced level course (select one):3-4
Dynamic Systems and Optimal Control
Machine Learning
Advanced Topics in Computer Science
Total Credits12-14

 Smart Grid Track

Introductory course:3
Introduction to Cyber-Physical Systems
Intermediate level courses (select two):7-8
Electric Energy Systems Engineering
Modeling and Control of Power Electronics and Electric Vehicle Powertrains
Introduction to Machine Learning and Applications
Advanced level course (select one):3-4
Dynamic Systems and Optimal Control
Special Topics in Electrical and Computer Engineering II
Machine Learning
Total Credits13-15

Smart Health Track

Introductory course:3
Introduction to Cyber-Physical Systems
Intermediate level courses (select two):7-8
Introduction to Micro and Nano Electro Mechanical Systems (MEMS/NEMS)
Introduction to Machine Learning and Applications
Biomedical Instrumentation
Smart Sensor Technology I: Design
Smart Sensor Technology II: Characterization and Fabrication
Advanced level course (select one):3-4
Medical Robotics and Systems
Special Topics in Electrical and Computer Engineering II
Machine Learning
Total Credits13-15