For program contact information, please visit this website.
The master's degree program in electrical and computer engineering offers in-depth course work within the concentration-choice-related areas. The curriculum is integrated and intensive and is built on state-of-the-art research, taught by faculty who are experts in their areas.
Excluded Courses for All MSECE Concentrations
You cannot take excluded courses as part of your MSECE program. Please do not petition to take these courses, as any petition to take these courses will be automatically rejected. Courses from the following subject areas may not count toward any concentration within the MSECE program: CSYE, ENSY, EMGT, INFO, SBSY, TELE. Select CS courses are also excluded from all MSECE concentrations. Please see the program requirements tab and your college administrator for more information.
Graduate Certificate Options
Students enrolled in a master's degree have the opportunity to also pursue one of the many engineering graduate certificate options in addition to or in combination with the MS degree. Students should consult their faculty advisor regarding these options.
Gordon Institute of Engineering Leadership
Master's Degree in Electrical and Computer Engineering with a Concentration in Communications, Control, and Signal Processing with Graduate Certificate in Engineering Leadership
Students may complete a Master of Science in Electrical and Computer Engineering with a Concentration in Communications, Control, and Signal Processing in addition to earning a Graduate Certificate in Engineering Leadership. Students must apply and be admitted to the Gordon Engineering Leadership Program in order to pursue this option. The program requires fulfillment of the 16-semester-hour curriculum required to earn the Graduate Certificate in Engineering Leadership, which includes an industry-based challenge project with multiple mentors. The integrated 40-semester-hour degree and certificate will require 24 semester hours of advisor-approved communications, control, and signal processing technical courses.
Complete all courses and requirements listed below unless otherwise indicated.
Options
Complete one of the following options:
Course Work Option
| Code | Title | Hours |
|---|---|---|
| A maximum of two courses may be taken outside of Electrical and Computer Engineering. | ||
| Depth Courses | ||
| Complete 20 semester hours from the depth course list below. | 20 | |
| Breadth Courses | ||
| Complete 8 semester hours from the breadth course list below. | 8 | |
Note: Depth courses cannot be taken for breadth. | ||
| Elective | ||
| Complete 4 additional semester hours from either the depth or breadth course lists below. | 4 | |
Thesis Option
| Code | Title | Hours |
|---|---|---|
| A maximum of three courses may be taken outside of Electrical and Computer Engineering. | ||
| Thesis | ||
| EECE 7990 | Thesis | 8 |
| Depth Courses | ||
| Complete 12 semester hours from the depth course list below. | 12 | |
| Breadth Courses | ||
| Complete 4 semester hours from the breadth course list below. | 4 | |
Note: Depth courses cannot be taken for breadth. | ||
| Elective | ||
| Complete 8 additional semester hours from either the depth or breadth course lists below. | 8 | |
Course Lists
Depth Courses
| Code | Title | Hours |
|---|---|---|
| Dynamical Systems in Biological Engineering | ||
| Mobile Robotics | ||
| Assistive Robotics | ||
| Wireless Communication Systems | ||
| Classical Control Systems | ||
| Digital Control Systems | ||
| Statistical Inference: An Introduction for Engineers and Data Analysts | ||
| Image Processing and Pattern Recognition | ||
| Digital Signal Processing | ||
| Special Topics in Electrical and Computer Engineering (GNSS Signal Processing) | ||
| Linear Systems Analysis | ||
| Applied Probability and Stochastic Processes | ||
| Nonlinear Control | ||
| System Identification and Adaptive Control | ||
| Optimal and Robust Control | ||
| Modern Signal Processing | ||
| Two Dimensional Signal and Image Processing | ||
| Numerical Optimization Methods | ||
| Digital Communications | ||
| Information Theory | ||
| Big Data and Sparsity in Control, Machine Learning, and Optimization | ||
| Probabilistic System Modeling and Analysis | ||
| Special Topics (Terahertz Communications) | ||
| Special Topics (Legged Robots) | ||
| Special Topics (Current Research in NonLinear Systems) | ||
| Special Topics (Introduction to Distributed Intelligence) | ||
| Preparing High-Stakes Written and Oral Materials (Only for MS Thesis Students) | ||
| Special Problems in Electrical and Computer Engineering | ||
| Master’s Project (MS Thesis students cannot take this course) |
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 | ||
| Cryptography and Communications Security | ||
| Wireless Sensor Networks and the Internet of Things | ||
| Thin Film Technologies | ||
| Introduction to Multiferroics Materials and Systems | ||
| Robotics Sensing and Navigation | ||
| Micro- and Nanofabrication | ||
| Compilers for Modern Computer Architectures | ||
| 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 | ||
| Nanophotonics | ||
| Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology | ||
| Microwave Circuits and Networks | ||
| 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 (Biomedical Microsystems) | ||
| 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 (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 | ||
| Autonomous Field Robotics | ||
| Solid State Devices | ||
| Electromagnetic Theory 1 | ||
| Complex Variable Theory and Differential Equations | ||
| Fundamentals of Computer Engineering | ||
| Power Systems State Estimation | ||
| Modeling and Simulation of Power System Transients | ||
| 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 | ||
| Advanced Magnetic Materials—Magnetic Devices | ||
| Computer Architecture | ||
| VLSI Design | ||
| Mobile and Wireless Networking | ||
| High-Level Design of Hardware-Software Systems | ||
| Advanced Computer Vision | ||
| Fundamentals of Computer Networks | ||
| Scalable and Sustainable System Design | ||
| Computer Hardware Security | ||
| Analysis and Design of Data Networks | ||
| Advanced Machine Learning | ||
| Special Topics (Wireless Network Systems and Applications) | ||
| Special Topics (Advanced Computer Architecture) | ||
| Special Topics (Power System Constrained Optimization) | ||
| Special Topics (Advances in Deep Learning) | ||
| Special Topics (Advanced Radio Frequency Passive Technologies) | ||
| Preparing High-Stakes Written and Oral Materials | ||
| Sustainable Energy: Materials, Conversion, Storage, and Usage | ||
| Graph Theory |
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, ENSY, EMGT, INFO, SBSY, 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