• Concentrations and course offerings may vary by campus and/or by program modality.  Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality. 
  • Certain options within the program may be required at certain campuses or for certain program modalities.  Please consult with your advisor or admissions coach for requirements at your campus or for your program modality. 

Complete all courses and requirements listed below unless otherwise indicated.

Fundamental Courses

Complete at least 8 semester hours from the following:8
Robotics Sensing and Navigation
Introduction to Machine Learning and Pattern Recognition
Fundamentals of Computer Engineering
Computer Architecture

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 or breadth courses. 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 or breadth courses.8

Course Lists

A maximum of three courses may be taken outside of electrical and computer engineering. 

Concentration Courses  

Combinatorial Optimization
Mobile Robotics
Robotics Sensing and Navigation
Statistical Inference: An Introduction for Engineers and Data Analysts
Reinforcement Learning and Decision Making Under Uncertainty
Image Processing and Pattern Recognition
Computer Vision
High-Performance Computing
Data Visualization
Introduction to Machine Learning and Pattern Recognition
Parallel Processing for Data Analytics
Special Topics in Electrical and Computer Engineering (Formal Methods for Dynamical Systems )
Special Problems in Electrical and Computer Engineering
Autonomous Field Robotics
Applied Probability and Stochastic Processes
Fundamentals of Computer Engineering
Numerical Optimization Methods
Big Data and Sparsity in Control, Machine Learning, and Optimization
Information Theory
Computer Architecture
Big Data and Sparsity in Control, Machine Learning, and Optimization
Advanced Computer Vision
Computer Architecture
Advanced Computer Vision
Advanced Machine Learning
Advanced Special Topics in Electrical and Computer Engineering (Advances in Deep Learning )
Advanced Special Topics in Electrical and Computer Engineering (Flexible Robotics )
Advanced Special Topics in Electrical and Computer Engineering (Security in Large-Scale Learning-Enabled Systems)
Advanced Special Topics in Electrical and Computer Engineering (Verifiable Machine Learning )
Advanced Special Problems in Electrical and Computer Engineering
Advanced Special Problems in Electrical and Computer Engineering
Foundations of Artificial Intelligence
Information Retrieval
Data Mining Techniques
Advanced Algorithms
Introduction to Data Management and Processing
Topics in Data Science
Graph Theory

Breadth Courses

Database Management Systems
Computer Systems
Compilers
Advanced Software Development
Privacy, Security, and Usability
Software Vulnerabilities and Security
Network Security
Wireless Sensor Networks and the Internet of Things
Dynamical Systems in Biological Engineering
Thin Film Technologies
Introduction to Multiferroics Materials and Systems
Assistive Robotics
Wireless Communication Systems
Classical Control Systems
Micro- and Nanofabrication
Digital Control Systems
Introduction to Software Security
Simulation and Performance Evaluation
Nanophotonics
Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology
Microwave Circuits and Systems
Signal Processing for Global Navigation Satellite Systems
Digital Signal Processing
Sustainable Energy: Materials, Conversion, Storage, and Usage
Electric Drives
and Lab for EECE 5680
Power Systems Analysis 1
Power Electronics
and Lab for EECE 5684
Analysis of Unbalanced Power Grids
Electromagnetic Devices for RF and Wireless Communications
Acoustics and Sensing
Special Topics in Electrical and Computer Engineering (Introduction to Quantum Engineering)
Special Topics in Electrical and Computer Engineering (Network Programming)
Special Topics in Electrical and Computer Engineering (Biomedical Microsystems)
Special Topics in Electrical and Computer Engineering (Electric Vehicles)
Special Topics in Electrical and Computer Engineering (Feedback Control Systems: Applications to Unmanned Aerial Vehicles)
Special Topics in Electrical and Computer Engineering (GNSS Signal Processing)
Special Topics in Electrical and Computer Engineering (Design and Prototyping of Optical Systems for Engineering Applications)
Special Topics in Electrical and Computer Engineering (Introduction to Organic and Printed Electronics)
Special Topics in Electrical and Computer Engineering (Networks: Technology, Economics, Social Interactions)
Special Topics in Electrical and Computer Engineering (Photonic Devices for Communication Systems)
Special Topics in Electrical and Computer Engineering (Hardware and System Security)
Special Topics in Electrical and Computer Engineering (Advanced Network Management)
Special Topics in Electrical and Computer Engineering (Electromagnetic Devices)
Optics for Engineers
Linear Systems Analysis
Solid State Devices
Electromagnetic Theory 1
Complex Variable Theory and Differential Equations
Nonlinear Control
System Identification and Adaptive Control
Optimal and Robust Control
Power Systems State Estimation
Advanced Power Electronics
Analog Integrated Circuit Design
and Lab for EECE 7240
Integrated Circuits for Mixed Signals and Data Communication
Introduction to Microelectromechanical Systems (MEMS)
Microwave Circuit Design for Wireless Communication
Radio Frequency Integrated Circuit Design
Power Management Integrated Circuits
Electromagnetic Theory 2
Computational Methods in Electromagnetics
Antennas and Radiation
Optical Properties of Matter
Modern Imaging
Electronic Materials
Modern Signal Processing
Digital Communications
Information Theory
Probabilistic System Modeling and Analysis
VLSI Design
Mobile and Wireless Networking
High-Level Design of Hardware-Software Systems
Fundamentals of Computer Networks
Operating Systems: Interface and Implementation
Computer Hardware Security
Analysis and Design of Data Networks
Advanced Special Topics in Electrical and Computer Engineering (Wireless Network Systems and Applications)
Advanced Special Topics in Electrical and Computer Engineering (Legged Robots)
Advanced Special Topics in Electrical and Computer Engineering (Advanced Computer Architecture)
Advanced Special Topics in Electrical and Computer Engineering (Power System Constrained Optimization)
Advanced Special Topics in Electrical and Computer Engineering (Low Power Integrated Circuits Design)
Advanced Special Topics in Electrical and Computer Engineering (Advanced Radio Frequency Passive Technologies)
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
Empirical Research Methods
Wireless Network

Program Credit/GPA Requirements

32 total semester hours required
Minimum 3.000 GPA required