About the Program

The ECE Department offers, through the Rackham School of Graduate Studies, a 30 credit hour curriculum consisting of required core courses and technical electives, providing for specialization in the areas of control systems, wireless networks, digital signal processing, embedded systems, image processing and pattern recognition.

Classes will be offered in the late afternoon and evening hours to enable students to earn their master's degree through part-time study. 

The program may be completed entirely on campus, entirely online, or through a combination of on-campus and online courses.

Curriculum Requirements

Students must maintain a cumulative GPA of 3.0 or higher in every semester. Grades below “B-“ are not counted and no more than two “B-“s are allowed. Students may be placed on probation, if their cumulative GPA falls below 3.0. A cumulative GPA of 3.0 or higher is required in order to be eligible to receive the MSE (EE) degree. Requirements are available to download (PDF).

  • Choose three of the following:

    • ECE 500 Mathematical Methods in EE and CE (Required unless waived. Must be taken in the first year) (F)
    • ECE 550 Communication Systems (W)
    • ECE 560 Modern Control Theory (F)
    • ECE 580 Digital Signal Processing (F, W, SS)
  • Choose three courses from the following:

    Control Systems

    • ECE 505 Intro. To Embedded Systems (W)
    • ECE 519 Advanced Topics in EMC (W) 
    • ECE 552 Fuzzy Systems (SS 09)
    • ECE 560 Modern Control Theory (F) 
    • ECE 565 Digital Controller Design 
    • ECE 567 Nonlinear Control Systems 
    • ECE 583 Neural Networks (W)

    Digital Signal Processing

    • ECE 512 Active Filters (SS)
    • ECE 580 Digital Signal Processing (F, W, SS) 
    • ECE 5802 Multirate Sig. Proc w/ Apl (W) 
    • ECE 529 Introduction to Computer Music (W 10) 
    • ECE 582 Statistical Signal Processing 
    • ECE 583 Neural Networks (W)
    • ECE 584 Speech Processes (OL) 

    Intelligent Systems

    • ECE 5251 Multimedia Design Tools I (F)
    • ECE 535 Mobile Devices & Ubiqys Comp Sys
    • ECE 537 Data Mining (F) 
    • ECE 576 Information Engineering (F) 
    • ECE 579 Intelligent Systems (W) 
    • ECE 580 Digital Signal Processing (F, W)
    • ECE 583 Neural Networks (W) 
    • ECE 585 Pattern Recognition

    Vehicle Electronics

    • ECE 5121 Modeling & Design of Elec Cir. & Sys. (F) 
    • ECE 515 Vehicle Electronics-II (W 08) 
    • ECE 519 Advanced Topics in EMC (W) 
    • ECE 531 Intelligent Vehicles (SS 08) 
    • ECE 532 Auto Sensors and Actuators (F 08)
    • ECE 533 Active Automotive Safety Systems (SS 09)
    • ECE 539 Production of Elec Prods 
    • ECE 5462 Hybrid Electric Vehicles (W) 


  • Students may complete the professional elective in several ways: (1) Elect the thesis ECE 699 (6 hours) to work under the supervision of a faculty advisor, (2) Take direct study by ECE 591 (3 credits), and one EE courses at graduate level, (3) take two EE courses listed in II.

  • Students should select a minimum of 4 and a maximum of 6 credit hours of courses from other disciplines. Some courses from outside ECE may not meet cognate requirement. Please check with the ECE Department prior to registering.

  • Students with inadequate background in Electrical/Computer Engineering may be required to meet with the department graduate advisor to determine the need for preparatory courses. 

Learning Goals

The MSE (EE) and MSE (CE) programs are designed so that graduates will have:

a) a strong background in theories and a good knowledge of the latest technologies in the electrical and computer engineering disciplines

b) an ability to conduct research in advanced engineering fields. The students will possess appropriate skills in formulating problems, designing experiments, collecting, processing, analyzing and interpreting data, designing a system, component, or process to meet desired requirements, and evaluating the system performances.

c) an ability to learn the latest research advancement, use advanced techniques and modern engineering tools in engineering practice, evaluate different strategies to derive a feasible solution

Get an Inside Look

MSE in Electrical Engineering
The fact that we have smaller classes and they really do work around your schedule, with online classes, with professors who are in the field who understand.
Christopher Semanson, MSE-EE '15, Software Controls Engineer at Ford Motor Company