Electrical Engineering - Master of Engineering in Electrical Engineering

Requirements and Options for M.E.E.E. Degree

The Program Educational Objectives for the Master of Engineering Program in Electrical Engineering are:

  1. That graduates successfully apply advanced skills and techniques in one or more areas of emphasis.
  2. That graduates obtain relevant, productive employment with the private sector or in government and/or pursue additional advanced degrees.

The M.E.E.E. is a coursework-only option for obtaining a master's degree.  The requirement is a total of 30 credits of graduate course work, including passing with a grade of B or better six Graduate Expanded Core Courses from at least three different areas of emphasis.  No oral exam is required for the MEEE.

Credits of E E 590 Selected Topics are limited to a total of 6. Other limitations and requirements that apply to all master’s degrees are described elsewhere in this catalog.

Graduate Expanded Core Courses

The MEEE program requires students to take six courses from at least three different areas of emphasis from the list of Graduate Expanded Core Courses.  Students who may wish to pursue a Ph.D. in the future are encouraged to include three courses from the MSEE Graduate Core Courses as part of their Graduate Expanded Core; the three MSEE Graduate Core Courses will satisfy one of the requirements for the Ph.D. qualifying exam.  The areas of emphasis and credits are listed below for the Graduate Expanded Core Courses with additional specification as to which of those are the MSEE Graduate Core Courses.

Graduate Expanded Core Courses

Prefix Title Credits
Graduate Expanded Core Courses: choose 6 from at least 3 different areas18-21
Electromagnetics
Electromagnetic Theory I 13
Electromagnetic Theory II3
Microwave Engineering3
Antennas and Radiation4
Introduction to Radar3
Smart Antennas3
Computational Electromagnetics3
Microelectronics/VLSI
Introduction to Analog and Digital VLSI3
ASIC Design3
E E 520
Analog VLSI Design 13
ARM SOC Design3
Selected Topics (Hardware for Machine Learning)3
Photonics
Fundamentals of Photonics 14
Lasers and Applications 14
Fourier Methods in Electro-Optics3
Optical System Design3
Electric Energy Systems
Power System Relaying3
Power Electronics3
Photovoltaic Devices and Systems3
Power Systems II3
Power Systems III 13
Distribution Systems3
Selected Topics (Power System Modeling and Numerical Computational Methods)3
Digital Signal Processing
Digital Signal Processing II 13
Machine Learning I 23
E E 575
2
Geometric Algebra 23
Telemetering Systems 23
Advanced Image Processing3
Digital Image Processing 23
Neural Signal Processing3
E E 675
Computer Engineering
Hardware Security and Trust3
Computer Systems Architecture3
Computer Performance Analysis I3
Architectural Concepts II 13
Selected Topics (Introduction to Quantum Computing)3
Selected Topics (Applications of Parallel Computing XSEDE Collaborative Course)3
Mobile Application Development3
Communications
Random Signal Analysis 13
Modern Coding Theory3
Signal Compression3
Digital Communication Systems I3
Wireless Communications3
Telemetering Systems 23
Information Theory3
Controls & Robotics
Control System Synthesis I 13
Machine Learning I 23
Geometric Algebra 23
Digital Image Processing 23
Graduate Electives: choose 3 to 4 courses12-9
Total Credits30

Included Prefixes

Graduate course work credits from the following prefixes are permitted for the MEEE degree.  If a graduate course outside this list of prefixes logically fits into the MEEE program, see your graduate advisor about requesting an exception.

Prefix Title Credits
College of Agriculture/Consumer/Environmental Sciences
AEEC
ENVS
GENE
College of Arts and Sciences
ASTR
BCHE
BIOL
C S
CHEM
GEOL
GPHY
LING
MATH
MOLB
PHYS
STAT
College of Business
ECON
MGMT
College of Engineering
A E
A EN
CHME
E E
ENVE
I E
M E
SUR

Excluded Courses

Credits from the following courses do not count toward an MEEE degree:

Prefix Title Credits
C S 451C++ Programming3
C S 452Java Programming3
C S 453Python Programming I3
C S 458R Programming I3
C S 460Computer Science I Transition3
C S 462Object Oriented Programming Transition3
C S 463Introduction to Data Structures Transition3
C S 464Machine Programming and Organization Transition3
C S 465Discrete Math for Computer Science Transition3
C S 466Compilers and Automata Transition3
C S 468Software Development Transition3
C S 469Data Structure and Algorithms Transition3
E E 490Selected Topics1-3