- 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
| Code | Title | Hours |
|---|---|---|
| Complete at least 8 semester hours from the following: | 8 | |
| High-Performance Computing | ||
| Fundamentals of Computer Engineering | ||
| Computer Architecture | ||
| Operating Systems: Interface and Implementation | ||
Options
Complete one of the following options:
Coursework Option
| Code | Title | Hours |
|---|---|---|
| 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
| Code | Title | Hours |
|---|---|---|
| Thesis | ||
| EECE 7945 | Master’s Project | 4 |
| EECE 7990 | Thesis | 4 |
| 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
| Code | Title | Hours |
|---|---|---|
| Assistive Robotics | ||
| High-Performance Computing | ||
| Simulation and Performance Evaluation | ||
| Computer Hardware and System Security | ||
| Special Problems in Electrical and Computer Engineering | ||
| Fundamentals of Computer Engineering | ||
| Computer Architecture | ||
| VLSI Design | ||
| High-Level Design of Hardware-Software Systems | ||
| Operating Systems: Interface and Implementation | ||
| Computer Hardware Security | ||
| Advanced Special Topics in Electrical and Computer Engineering (Advanced Computer Architecture) | ||
| Advanced Special Topics in Electrical and Computer Engineering (Field Programmable Gate Arrays in the Cloud ) | ||
| Advanced Special Problems in Electrical and Computer Engineering | ||
| Database Management Systems | ||
| Foundations of Software Engineering | ||
| Computer Systems | ||
| Compilers | ||
| Advanced Software Development | ||
| Building Scalable Distributed Systems |
Breadth Courses
| Code | Title | Hours |
|---|---|---|
| Foundations of Artificial Intelligence | ||
| Information Retrieval | ||
| Data Mining Techniques | ||
| Privacy, Security, and Usability | ||
| Advanced Algorithms | ||
| Software Vulnerabilities and Security | ||
| Network Security | ||
| Dynamical Systems in Biological Engineering | ||
| Wireless Sensor Networks and the Internet of Things | ||
| Thin Film Technologies | ||
| Introduction to Multiferroics Materials and Systems | ||
| Mobile Robotics | ||
| Robotics Sensing and Navigation | ||
| Wireless Communication Systems | ||
| Classical Control Systems | ||
| Micro- and Nanofabrication | ||
| Digital Control Systems | ||
| Image Processing and Pattern Recognition | ||
| Computer Vision | ||
| Introduction to Software Security | ||
| Data Visualization | ||
| Introduction to Machine Learning and Pattern Recognition | ||
| Parallel Processing for Data Analytics | ||
| 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 | ||
| Acoustics and Sensing | ||
| Electromagnetic Devices for RF and Wireless Communications | ||
| Special Topics in Electrical and Computer Engineering (Introduction to Quantum Engineering) | ||
| 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 (Network Programming) | ||
| Special Topics in Electrical and Computer Engineering (Networks: Technology, Economics, Social Interactions) | ||
| 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 (Photonic Devices for Communication Systems) | ||
| Special Topics in Electrical and Computer Engineering (Feedback Control Systems: Applications to Unmanned Aerial Vehicles) | ||
| Special Topics in Electrical and Computer Engineering (Reinforcement Learning) | ||
| Special Topics in Electrical and Computer Engineering (Electromagnetic Devices) | ||
| Special Topics in Electrical and Computer Engineering (Advanced Network Management) | ||
| Special Topics in Electrical and Computer Engineering (Introduction to Organic and Printed Electronics) | ||
| Optics for Engineers | ||
| Autonomous Field Robotics | ||
| Linear Systems Analysis | ||
| Solid State Devices | ||
| Electromagnetic Theory 1 | ||
| Complex Variable Theory and Differential Equations | ||
| Applied Probability and Stochastic Processes | ||
| Nonlinear Control | ||
| System Identification and Adaptive Control | ||
| Optimal and Robust Control | ||
| Introduction to Distributed Intelligence | ||
| 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 | ||
| Numerical Optimization Methods | ||
| Digital Communications | ||
| Information Theory | ||
| Big Data and Sparsity in Control, Machine Learning, and Optimization | ||
| Probabilistic System Modeling and Analysis | ||
| Mobile and Wireless Networking | ||
| Advanced Computer Vision | ||
| Fundamentals of Computer Networks | ||
| Analysis and Design of Data Networks | ||
| Advanced Machine Learning | ||
| Advanced Special Topics in Electrical and Computer Engineering (Deep Learning Embedded Systems) | ||
| Advanced Special Topics in Electrical and Computer Engineering (Wireless Network Systems and Applications) | ||
| Advanced Special Topics in Electrical and Computer Engineering (Power System Constrained Optimization) | ||
| Advanced Special Topics in Electrical and Computer Engineering (Legged Robots) | ||
| Advanced Special Topics in Electrical and Computer Engineering (Low Power Integrated Circuits Design) | ||
| Advanced Special Topics in Electrical and Computer Engineering (Advances in Deep Learning) | ||
| Advanced Special Topics in Electrical and Computer Engineering (Advanced Radio Frequency Passive Technologies) | ||
| Graph Theory | ||
| Advanced Control Engineering |
Excluded Courses for All MSECE Concentrations
Please see your college administrator for more information.
| Code | Title | Hours |
|---|---|---|
| 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