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

Learning Goals

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)


Eligibility Requirements

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

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. 

I. Core Courses (9 credits)

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)
II. Concentration Courses (9 to 11 credits)

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) 


III. Professional Electives (6 credits)

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.

IV. Cognate Courses (4 to 6 credits)

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.

V. Preparatory Courses

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. 

Electrical and Computer Engineering

Institute for Advanced Vehicle Systems (IAVS)
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