- 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 | |
Micro- and Nanofabrication | ||
Solid State Devices | ||
Introduction to Microelectromechanical Systems (MEMS) | ||
VLSI Design |
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
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.
Concentration Courses
Code | Title | Hours |
---|---|---|
Thin Film Technologies | ||
Micro- and Nanofabrication | ||
Magnetic Materials for Next-Generation Electronics | ||
Nanophotonics | ||
Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology | ||
Introduction to Photonic Devices | ||
Microwave Circuits and Systems | ||
Special Topics in Electrical and Computer Engineering (Biomedical Microsystems ) | ||
Special Topics in Electrical and Computer Engineering (Introduction to Organic and Printed Electronics) | ||
Special Topics in Electrical and Computer Engineering (Magnetic Materials and Devices for Microwave Engineering ) | ||
Special Topics in Electrical and Computer Engineering (Photonic Devices for Communication Systems) | ||
Solid State Devices | ||
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 | ||
Lab for EECE 7240 | ||
Power Management Integrated Circuits | ||
Optical Properties of Matter | ||
Electronic Materials | ||
VLSI Design | ||
Advanced Special Topics in Electrical and Computer Engineering (Advanced Radio Frequency Passive Technologies) | ||
Advanced Special Topics in Electrical and Computer Engineering (Advances in Communication Electronics) | ||
Advanced Special Topics in Electrical and Computer Engineering (Biomedical Microsystems) | ||
Advanced Special Topics in Electrical and Computer Engineering (Low Power Integrated Circuits Design) | ||
Advanced Special Topics in Electrical and Computer Engineering (Photonic Circuit Design for Information Processing ) | ||
Advanced Special Problems in Electrical and Computer Engineering |
Breadth Courses
Code | Title | Hours |
---|---|---|
Foundations of Artificial Intelligence | ||
Database Management Systems | ||
Computer Systems | ||
Information Retrieval | ||
Data Mining Techniques | ||
Compilers | ||
Advanced Software Development | ||
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 | ||
Introduction to Multiferroics Materials and Systems | ||
Mobile Robotics | ||
Assistive Robotics | ||
Robotics Sensing and Navigation | ||
Wireless Communication Systems | ||
Classical Control Systems | ||
Digital Control Systems | ||
Image Processing and Pattern Recognition | ||
Computer Vision | ||
High-Performance Computing | ||
Introduction to Software Security | ||
Data Visualization | ||
Simulation and Performance Evaluation | ||
Introduction to Machine Learning and Pattern Recognition | ||
Parallel Processing for Data Analytics | ||
Signal Processing for Global Navigation Satellite Systems | ||
Digital Signal Processing | ||
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 | ||
Special Topics in Electrical and Computer Engineering (Reinforcement Learning) | ||
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 (Design and Prototyping of Optical Systems for Engineering Applications) | ||
Special Topics in Electrical and Computer Engineering (Feedback Control Systems: Applications to Unmanned Aerial Vehicles) | ||
Special Topics in Electrical and Computer Engineering (Advanced Network Management) | ||
Special Topics in Electrical and Computer Engineering (Hardware and System Security) | ||
Special Topics in Electrical and Computer Engineering (Electromagnetic Devices) | ||
Optics for Engineers | ||
Autonomous Field Robotics | ||
Linear Systems Analysis | ||
Electromagnetic Theory 1 | ||
Complex Variable Theory and Differential Equations | ||
Applied Probability and Stochastic Processes | ||
Fundamentals of Computer Engineering | ||
Nonlinear Control | ||
System Identification and Adaptive Control | ||
Optimal and Robust Control | ||
Introduction to Distributed Intelligence | ||
Power Systems State Estimation | ||
Advanced Power Electronics | ||
Electromagnetic Theory 2 | ||
Computational Methods in Electromagnetics | ||
Antennas and Radiation | ||
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 | ||
Computer Architecture | ||
Mobile and Wireless Networking | ||
High-Level Design of Hardware-Software Systems | ||
Advanced Computer Vision | ||
Fundamentals of Computer Networks | ||
Operating Systems: Interface and Implementation | ||
Computer Hardware Security | ||
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 (Security in Large-Scale Learning-Enabled Systems) | ||
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 (Advances in Deep Learning) | ||
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