The Master of Science degree in Electrical Engineering (MSEE) is designed to provide students and practicing engineers alike with a background in analysis, design, development, or research on electrical or computer engineering in a variety of technical areas. It enables students to expand and deepen their knowledge beyond the baccalaureate degree and gives them the ability to adapt to ever-changing technological developments. Students with adequate background in electrical or digital and computer systems can complete the MSEE degree by successfully completing a minimum of 30 credits of course and project work.

Unique Features

  • Areas of research and study at the graduate level include communications, control, digital signal processing, digital system design and simulation, microprocessor systems, optical sensors, embedded computing, computer architecture, computer networks, VLSI design, and other subareas of electrical and computer engineering.
  • The program is structured in four focus areas: Control Systems, Digital Signal Processing and Communication, Digital and Computer Systems, and Power Systems. Each student must take at least the minimum number of restricted elective courses in at least one focus area.
  • Students enjoy the learning environment, which offers advantages such as small class size, low student-faculty ratio, excellent interaction with dedicated faculty, and participation in research.
  • Financial support is available through scholarships, teaching, or research assistantships. Financial support is offered to those students who, in the estimation of the department faculty, hold greatest promise of success.
  • The MSEE program is open to both part-time and full-time students.

Focus Areas

A plan of study will be devised for each student based on the academic background, professional goals, and interests of the student by the program coordinator. It is required that one of the following four focus areas is followed: communication/signal processing, control systems, digital and computer systems, and power systems.

A minimum of 18 credits of course work must be taken from the list of restricted electives for each focus area. Other courses may be taken from EE or other closely related disciplines with the approval of the MSEE program coordinator.

Research Activities and Areas of Expertise

Students interested in conducting research as part of their MS program, possibly with financial support, may contact the following faculty directly depending on the research areas of interests:

Adams, William (Image Processing, Artificial Intelligence),

Aliane, Bouzid (Communication, DSP),

Fish, Andrew (Nonlinear Systems),

Eggert, David (Robotics, Network Administration),

Esmailpour, Amir (Wireless Networking, 4G LTE),

Golbazi, Ali (Fiber Optics and Optical Sensors),

Karimi, Bijan (Embedded Systems, Networking, VLSI),

Martinez, Christopher (Embedded Systems, Computer Architecture),

Thesis and Project

Each student must satisfy the project or thesis requirement for MSEE. There are three options as follows:

1. Taking a designated project course specified in the program.

2. Taking the research project course EE690. For this option the cumulative GPA of 3.5 or better is needed after completing 18 credits of course work acceptable towards MSEE degree.

3. Taking six credits of thesis. For this option the cumulative GPA of 3.5 or better is needed after completing 18 credits of course work acceptable towards the MSEE degree.

Admission Requirements

Each applicant will be evaluated based on the academic performance and the promise of success in the program. Applicants with GPA of 3.0 or better in BS electrical engineering, computer engineering will have the highest chance of being accepted into the program. Submission of GRE score is required.

Applicants with strong academic or professional experience but without adequate background necessary for taking some of the graduate courses may be asked to take additional courses beyond the 30 credits.

For full admissions requirements or to inquire about applying to the program, please contact the University's Office of Graduate Admissions.

Hands-on Application

In a splendid example of collaboration, a research group composed of a master’s student in electrical engineering, several other engineering students, and faculty from engineering, physics, and biology developed a novel Bio-Nano-sensor for detection of bacterial pathogens using the principles of CNT-DNA interaction and DNA hybridization. The research work was published in the Journal of Nanotechnology.


Sample Courses

Design of Digital Filters


Digital Image Processing 

Power Systems Engineering 

Digital Signal Processing

Robot Control

Electric Drives 

System On Chip 

Embedded Applications 

VLSI Design

Fiber Optic Communications 

Wireless Communications 

Microwave Engineering



Sample Employers

Advanced Micro Control,Inc.(AMC)

Kodak Science Imaging Systems

Assa Abloy

Siemans Medical


Sikorsky Aircraft

Conair Corp.

United Parcel Service

Goodrich Corp.

United Technologies Corporation

Hamilton Sundstrand

U.S. Patent Office

Hewlett Packard