Master of Engineering in Electrical Engineering
The Master of Engineering 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, and artificial intelligence. The program focus is on problem-solving skills development for real-world applications. Our student-centric learning environment provides a variety of opportunities, including 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.
Master of Engineering in Electrical Engineering Degree Requirements
The Master of Engineering in Electrical Engineering is a 30-credit degree program. Students seeking a Master of Engineering (MEng) 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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Two (2) elective courses
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:
Course Options:
EE 551 | Engineering Programming: Python | 3 |
EE 627 | Data Acquisition, Modeling and Analysis: Big Data Analytics | 3 |
EE 628 | Data Acquisition, Modeling and Analysis: Deep Learning | 3 |
EE 672 | Applied Game Theory and Evolutionary Algorithms | 3 |
CPE 646 | Pattern Recognition and Classification | 3 |
CPE 695 | Applied Machine Learning | 3 |
Course Options:
EE 510 | Introduction to Radar Systems | 3 |
EE 568 | Software-Defined Radio | 3 |
EE 582 | Wireless Networking: Architectures, Protocols and Standards | 3 |
EE 583 | Wireless Communications | 3 |
EE 584 | Wireless Systems Security | 3 |
EE 585 | Physical Design of Wireless Systems | 3 |
Course Options:
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 507 | Introduction to Microelectronics and Photonics | 3 |
| Or | |
PEP 507 | Introduction to Microelectronics and Photonics | 3 |
| | |
EE 509 | Intermediate Waves and Optics | 3 |
| Or | |
PEP 509 | Intermediate Waves and Optics | 3 |
| | |
EE 561 | Solid State Electronics for Engineering I | 3 |
| Or | |
PEP 561 | Solid State Electronics for Engineering I | 3 |
| | |
EE 562 | Solid State Electronics for Engineering II | 3 |
| Or | |
PEP 562 | Solid State Electronics for Engineering II | 3 |
Course Options:
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 |
Course Options:
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 |
Electives
Students in the Master of Engineering program are required to complete two elective courses (6 credits). Elective courses 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.