Master of Science in Electrical Engineering

The Master of Science in Electrical Engineering educates students to acquire a strong fundamental background in electrical engineering and state-of-the-art knowledge and skills in cutting edge areas such as sensing, communications, digital signal processing, smart grids and power systems, robotics, Internet of Things, andartificial intelligence. The program focus is on problem-solving skills development for real-world applications, with an emphasis on research experience. Our student-centric learning environment provides a variety of opportunities, accelerated graduate degrees, co-op opportunities and internships. 

In general, a bachelor’s degree in electrical engineering or computer engineering with a minimum grade point average of on a 4.0 scale is required for graduate study in electrical engineering. Outstanding applicants with degrees in other engineering disciplines, physics, or mathematics may be conditionally admitted subject to the completion of appropriate ramp courses or their equivalents with a grade of “B” or better. The special requirements will be determined on an individual basis depending on the student’s background.

The master’s degree requires completion of a total of 30 hours of credit. Each student must complete a mathematical foundations course, four core courses and must complete the course requirements for one of the electrical engineering concentrations. Elective courses are to be chosen from the EE, CPE or AAI numbered graduate courses in this catalog. An elective course not in the EE, CPE or AAI numbered courses may be taken, with the approval of the student’s academic advisor. A maximum of two elective courses not listed in the ECE program may be taken with the approval of the academic advisor.

 

Program Outcomes

By the time of graduation, students will be able to 

  • apply knowledge of mathematics and physics to problem solving in electrical engineering
  •  analyze electrical systems using engineering principles and modeling approaches
  • design experiments and analyze results to determine process parameters, and to identify issues and methods for electrical engineering measurements
  • use mathematical, modeling, and engineering principles to design electrical engineering processes; be able to incorporate considerations such as feasibility, applicability, cost, legal/regulatory, societal impacts, etc. in designs
  • use computer software for data analysis, reporting and presentations
  • be capable of writing and presenting polished technical reports at a level expected of the engineering profession, and be able to critically evaluate the technical literature and use it to obtain solutions to electrical engineering  problems.
  • be able to work effectively in a team
  • be able to understand the evaluation and development of intellectual properties
  • be able to recognize and achieve high levels of professionalism in work and understand ethical and moral systems in a social context

Master of Science in Electrical Engineering Degree Requirements

The Master of Science in Electrical Engineering is a 30-credit degree program. Students seeking a Master of Science (MS) in Electrical Engineering are required to complete:

  • One (1) mathematical foundation course

  • Four (4) core courses in their majors/programs

  • Three (3) concentration courses in a chosen concentration

  • Three (3) credits of project work and Three (3) credits elective course or Six (6) credits thesis

 

Mathematical Foundation Courses

Students are required to select one mathematical foundation course from the list below: 

EE 602Analytical Methods in Electrical Engineering

3

Or

EE 605Probability and Stochastic Processes I

3

Core Courses

Students are required to select four courses from the following list:

EE 548Digital Signal Processing

3

EE 575Introduction to Control Theory

3

EE 603Linear System Theory

3

EE 608Applied Modeling and Optimization

3

EE 609Communication Theory

3

Concentrations

Students are required to select three courses from one of the concentrations listed below:

Artificial Intelligence Concentration Course Options

Students who select the Artificial Intelligence concentration are required to select three concentration courses from the list below: 

AAI 551Engineering Programming: Python

3

AAI 672Applied Game Theory and Evolutionary Algorithms

3

AAI 627Data Acquisition, Modeling and Analysis: Big Data Analytics

3

AAI 628Data Acquisition, Modeling and Analysis: Deep Learning

3

AAI 646Pattern Recognition and Classification

3

AAI 695Applied Machine Learning

3

Communications Concentration Course Options

Students who select the Communications concentration are required to select three concentration courses from the list below: 

EE 510Introduction to Radar Systems

3

EE 583Wireless Communications

3

EE 585Physical Design of Wireless Systems

3

EE 582Wireless Networking: Architectures, Protocols and Standards

3

EE 568Software-Defined Radio

3

Microelectronics and Photonics Concentration Course Options

Students who select the Microelectronics and Photonics concentration are required to select three concentration courses from the list below: 

CPE 690Introduction to VLSI Design

3

EE 503Introduction to Solid State Physics

3

Or

PEP 503Introduction to Solid State Physics

3

EE 509Intermediate Waves and Optics

3

Or

PEP 509Intermediate Waves and Optics

3

PEP 515Photonics I

3

PEP 516Photonics II

3

Power Engineering Concentration Course Options

Students who select the Power Engineering concentration are required to select three concentration courses from the list below: 

EE 575Introduction to Control Theory

3

EE 589Introduction to Power Engineering

3

EE 590Smart Grid

3

EE 629Internet of Things

3

CPE 679Computer and Information Networks

3

CPE 691Information Systems Security

3

Robotics and Automation Systems Concentration Course Options

Students who select the Robotics and Automation Systems concentration are required to select three concentration courses from the list below: 

EE 553Engineering Programming: C++

3

EE 575Introduction to Control Theory

3

EE 621Nonlinear Control

3

EE 631Cooperating Autonomous Mobile Robots

3

Or

CPE 631Cooperating Autonomous Mobile Robots

3

CPE 521Autonomous Mobile Robotic Systems

3

CPE 645Image Processing and Computer Vision

3

Project or Thesis

Students in the Master of Science program are required to complete:

  • Project Track3 credit project course (800 course) and a 3 credit elective course at the 500 or 600 level. Students who enroll in the 3 credit project course (800 course) are required to enroll in the 0-credit co-requisite research seminar course, EE 820. The 3 credit elective course can be any graduate level course at the 500 or 600 levels within the Department of Electrical and Computer Engineering. Elective courses that are taken outside of the department require approval by the faculty advisor.

OR

  • Thesis Track6 credit thesis course (900 course). Students need to take the first 3 credit thesis course (900 course) in the third semester and the second 3 credit thesis course (900 course) in the fourth semester.