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:
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One (1) mathematical foundation course
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Four (4) core courses in their majors/programs
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Three (3) concentration courses in a chosen concentration
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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 602 | Analytical Methods in Electrical Engineering | 3 |
| | Or | |
| EE 605 | Probability and Stochastic Processes I | 3 |
Core Courses
Students are required to select four courses from the following list:
| EE 548 | Digital Signal Processing | 3 |
| EE 575 | Introduction to Control Theory | 3 |
| EE 603 | Linear System Theory | 3 |
| EE 608 | Applied Modeling and Optimization | 3 |
| EE 609 | Communication 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 551 | Engineering Programming: Python | 3 |
| AAI 672 | Applied Game Theory and Evolutionary Algorithms | 3 |
| AAI 627 | Data Acquisition, Modeling and Analysis: Big Data Analytics | 3 |
| AAI 628 | Data Acquisition, Modeling and Analysis: Deep Learning | 3 |
| AAI 646 | Pattern Recognition and Classification | 3 |
| AAI 695 | Applied 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 510 | Introduction to Radar Systems | 3 |
| EE 583 | Wireless Communications | 3 |
| EE 585 | Physical Design of Wireless Systems | 3 |
| EE 582 | Wireless Networking: Architectures, Protocols and Standards | 3 |
| EE 568 | Software-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 690 | Introduction to VLSI Design | 3 |
| | | |
| EE 503 | Introduction to Solid State Physics | 3 |
| | Or | |
| PEP 503 | Introduction to Solid State Physics | 3 |
| | | |
| | | |
| EE 509 | Intermediate Waves and Optics | 3 |
| | Or | |
| PEP 509 | Intermediate Waves and Optics | 3 |
| | | |
| PEP 515 | Photonics I | 3 |
| PEP 516 | Photonics 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 575 | Introduction to Control Theory | 3 |
| EE 589 | Introduction to Power Engineering | 3 |
| EE 590 | Smart Grid | 3 |
| EE 629 | Internet of Things | 3 |
| CPE 679 | Computer and Information Networks | 3 |
| CPE 691 | Information 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 553 | Engineering Programming: C++ | 3 |
| EE 575 | Introduction to Control Theory | 3 |
| EE 621 | Nonlinear Control | 3 |
| | | |
| EE 631 | Cooperating Autonomous Mobile Robots | 3 |
| | Or | |
| CPE 631 | Cooperating Autonomous Mobile Robots | 3 |
| | | |
| CPE 521 | Autonomous Mobile Robotic Systems | 3 |
| CPE 645 | Image Processing and Computer Vision | 3 |
Project or Thesis
Students in the Master of Science program are required to complete:
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Project Track: 3 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