Complete all courses and requirements listed below unless otherwise indicated.

Fundamental Courses

Complete at least 8 semester hours from the following:8
Wireless Communication Systems
Digital Signal Processing
Linear Systems Analysis
Applied Probability and Stochastic Processes

Options

Complete one of the following options:

Coursework Option

Concentration Courses
Complete 16 semester hours from the concentration course list below. Any fundamental course not used to meet the fundamental course requirement can be used toward the concentration course requirement. 16
Electives
Complete 8 semester hours from either concentration courses or from other concentrations. 8

Thesis Option

Thesis
EECE 7945Master’s Project4
EECE 7990Thesis4
In addition to completing the thesis course, students must successfully complete the thesis submission process, including securing Committee and Graduate School of Engineering signatures and submission of an electronic copy of their MS Thesis to ProQuest.
Concentration Courses
Complete 8 semester hours from the concentration course list below. Any fundamental course not used to meet the fundamental course requirement can be used toward the concentration course requirement. 8
Electives
Complete 8 semester hours from either concentration courses or from other concentrations. 8

In the coursework option a maximum of two courses may be taken outside of electrical and computer engineering.  Thesis track students can take up to three courses outside of electrical and computer engineering.

Optional Co-op Experience

Complete the following. Students must complete ENCP 6100 to qualify for co-op experience:
ENCP 6100Introduction to Cooperative Education1
Co-op Work Experience
Co-op Work Experience - Half-Time
Co-op Work Experience Abroad - Half-Time
Co-op Work Experience Abroad

Concentration Courses

Dynamical Systems in Biological Engineering
Mobile Robotics
Assistive Robotics
Wireless Communication Systems
Classical Control Systems
Making Systems Reliable—An Introduction to Coding Theory
Digital Control Systems
Statistical Inference: An Introduction for Engineers and Data Analysts
Image Processing and Pattern Recognition
Signal Processing for Global Navigation Satellite Systems
Digital Signal Processing
Special Topics in Electrical and Computer Engineering (Feedback Control Systems: Applications to Unmanned Aerial Vehicles)
Special Topics in Electrical and Computer Engineering (Formal Methods for Dynamical Systems )
Special Topics in Electrical and Computer Engineering (GNSS Signal Processing)
Special Topics in Electrical and Computer Engineering (Introduction to Molecular Systems Biology Dynamic Modeling)
Special Topics in Electrical and Computer Engineering (Spectrum Policy Issues for Wireless Communications Innovators )
Special Topics in Electrical and Computer Engineering (Terahertz Communications for 6G)
Special Problems in Electrical and Computer Engineering (*For MSECE and PhD-BS students only)
Linear Systems Analysis
Applied Probability and Stochastic Processes
Nonlinear Control
System Identification and Adaptive Control
Optimal and Robust Control
Introduction to Distributed Intelligence
Riemannian Optimization
Modern Signal Processing
Two Dimensional Signal and Image Processing
Digital Image Processing
Numerical Optimization Methods
Digital Communications
Information Theory
Big Data and Sparsity in Control, Machine Learning, and Optimization
Probabilistic System Modeling and Analysis
Advanced Special Topics in Electrical and Computer Engineering (Advances in Communication Electronics)
Advanced Special Topics in Electrical and Computer Engineering (Advances in Wireless Communications )
Advanced Special Topics in Electrical and Computer Engineering (An Experimental Approach to Wireless Communications)
Advanced Special Topics in Electrical and Computer Engineering (Current Research in Nonlinear Systems)
Advanced Special Topics in Electrical and Computer Engineering (Distributed Intelligence)
Advanced Special Topics in Electrical and Computer Engineering (Legged Robots)
Advanced Special Topics in Electrical and Computer Engineering (Systems Modeling and Analysis)
Advanced Special Problems in Electrical and Computer Engineering (*For PhD-AE students only)
Advanced Control Engineering

Excluded Courses for All MSECE Concentrations

 Please see your college administrator for more information.

Courses from the following subject areas may not count toward any concentration within the MSECE program:
CSYE, DAMG, INFO, TELE
The following CS courses may not count toward any concentration within the MSECE program:
Programming Design Paradigm
Pattern Recognition and Computer Vision
Computer/Human Interaction
Mobile Application Development
Web Development
Fundamentals of Computer Networking
Algorithms
Machine Learning
Empirical Research Methods

Program Credit/GPA Requirements

32 total semester hours required (33 with optional co-op)
Minimum 3.000 GPA required