MSE in Electrical Engineering
About the Program
The ECE Department offers 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.
The program may be completed entirely on campus, entirely online, or through a combination of on-campus and online courses. On-campus courses will be offered in the late afternoon and evening hours to enable students to earn their master's degree through part-time study.
Program Details
The MSE (EE), MSE (CE), and MSE (ESE) programs are designed so that graduates will have:
a) a strong foundation the theoretical principles and techniques from science, engineering, and mathematics needed for advanced engineering design and development. (Tag: Theory)
b) an ability to use modern engineering software, processes, devices, and diagnostic tools for advanced engineering design and development. (Tag: Tools)
Undergraduate Degree Required
Bachelor's degree in Electrical and/or Computer Engineering with an overall GPA of 3.0 or higher.
Students whose undergraduate background is in a field other than Electrical or Computer Engineering may be granted admission and required to take preparatory courses in electrical and/or computer engineering
Standardized Test Scores
GRE not required
The Electrical Engineering program is also offered online through CECS Online. The online courses utilize video streaming of the lectures given on campus. The online students have the opportunity to interact with the instructors and with fellow students (both on campus as well as online) through CANVAS. The class lectures, notes, and discussions are posted on CANVAS for online students' access.
Course Exemptions
Please be aware that CECS does not allow for course waivers. However, students may petition for course exemptions in instances where a core course in a graduate program may not be available, may no longer be offered due to program changes, or the student may have taken a course with equivalent content. Previous undergraduate or graduate coursework deemed substantially similar to MSE core courses may qualify to exempt students from those core courses. Exempted courses must be replaced with ECE courses from within the degree program. An approved course exemption does not reduce the total number of credit hours needed to satisfy program requirements.
Transfer of Credit
Students who have satisfied all conditions for full or conditional admission and are enrolled in good standing in their graduate program may be eligible to transfer up to a maximum of 6 credit hours of related graduate-level courses from other accredited degree-granting universities with graduate degree programs. These 6 transfer credits of previous equivalent graduate coursework can be applied to the degree only if those credits have not been counted toward a degree and have a final grade of B (3.0) or better. Students seeking transfer credit must abide by the criteria for transferring credit for master’s programs as outlined on the Request for Graduate Transfer Credit application and in accordance with the campus’s Transfer Credit Policy. It is the responsibility of the student requesting transfer of credit to submit this completed form and an official transcript with course final grade and a copy of the course syllabus or the catalog’s description.
Exemptions and transfer credit are granted at the discretion of the program chair.
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.
For Students Admitted Fall 2022 and Beyond
Choose three of the following:
- ECE 500 Mathematical Methods in EE and CE (Required. Must be taken in the first year)
- ECE 550 Communication Theory
- ECE 560 Modern Control Theory
- ECE 580 Digital Signal Processing
The following are suggested specializations. All three courses may be taken from one specialization or a combination of any of the specializations. Students are free to develop their own specialization by selecting from any of the graduate courses listed in the ECE course list (see catalog).
Choose three courses from the following:
Control Systems
- ECE 519 Advanced Topics in EMC
- ECE 552 Fuzzy Systems
- ECE 560 Modern Control Theory
- ECE 565 Digital Control Systems
- ECE 567 Nonlinear Control Systems
- ECE 5831 Pattern Recognition and Neural Networks
Digital Signal Processing
- ECE 512 Active Filters
- ECE 529 Computer Music
- ECE 5542 Embedded Sig Proc and Control
- ECE 580 Digital Signal Processing
- ECE 5802 Multirate Sig. Proc w/ Apl
- ECE 582 Statistical Signal Processing
- ECE 5831 Pattern Recognition and Neural Networks
- ECE 584 Speech Processes
Intelligent Systems
- ECE 5251 Multimedia Design Tools I
- ECE 535 Mobile Devices & Ubiqys Comp Sys
- ECE 537 Data Mining
- ECE 576 Information Engineering
- ECE 579 Intelligent Systems
- ECE 580 Digital Signal Processing
- ECE 5831 Pattern Recognition and Neural Networks
Vehicle Electronics
- ECE 5121 Modeling & Design of Elec Cir. & Sys.
- ECE 515 Vehicle Electronics-II
- ECE 519 Advanced Topics in EMC
- ECE 531 Intelligent Vehicles
- ECE 532 Auto Sensors and Actuators
- ECE 533 Active Automotive Safety Systems
- ECE 539 Production of Elec Prods
- ECE 5462 Hybrid Electric Vehicles
- ECE 5791 Vehicle Power Management
Students may complete the professional elective requirements in several ways:
- Elect the thesis ECE 699 (6 credits) to work under the supervision of a faculty advisor;
- Take direct study by ECE 591 (3 credits), and one ECE course at the graduate level;
- Complete ECE 505 and ECE 510 as directed by ECE Department if undergraduate degree is not in Electrical Engineering/Computer Engineering disciplines;
- Take two additional ECE courses at the graduate level.
Students are required to select 6 credit hours of graduate-level courses from other non-ECE engineering disciplines, such as:
- Automotive Engineering (AENG)
- Computer Information Science (CIS)
- Engineering Management (EMGT)
- Industrial and Manufacturing Systems Engineering (IMSE)
- Mechanical Engineering (ME)
Students may also select any 500-level course from the mathematics & statistics department (MATH, STAT), excluding math subject courses for educators (MATH 508, 5386, 5387, 543, 544, 5440, 5441, 5442, 5443, 5445, 545, 546, 549, 586, 591).
Additional cognate options may be approved by the ECE department.
Enrollment in cognate courses may be dependent on prior authorization from both the non-ECE Department and the ECE department. Please confirm your cognate course selections with the ECE Department, via e-mail, 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.
For Students Admitted Prior To Fall 2022
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 Theory (W)
- ECE 560 Modern Control Theory (F)
- ECE 580 Digital Signal Processing (F, W, SS)
Choose three courses from the following:
Control Systems
- ECE 519 Advanced Topics in EMC (W)
- ECE 552 Fuzzy Systems (SS 09)
- ECE 560 Modern Control Theory (F)
- ECE 565 Digital Control Systems
- ECE 567 Nonlinear Control Systems
- ECE 5831 Pattern Recognition and 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 5831 Pattern Recognition and 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 5831 Pattern Recognition and Neural Networks (W)
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.
Graduate Advising
Academic advising is primarily done by faculty advisors with expertise in the area and with the support of our knowledgeable graduate staff. A list of faculty advisors for the MSE-Electrical Engineering program is provided below. For additional academic information please contact the ECE office.
Dr. Selim Awad
- Email: sawad@umich.edu
- T: 313-593-5523
- Office: 2055 ELB
Dr. Junho Hong
- Email: jhwr@umich.edu
- T: 313-593-5072
- Office: 2072 IAVS
For more information, please contact:
Wencong Su
Amanda Donovan
Michael Hicks
Electrical and Computer Engineering
4901 Evergreen Road
Dearborn, MI 48128
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