Electrical and Computer Engineering with Concentration in Microsystems, Materials, and Devices, MSECE

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 graduate degree program in the College of Engineering have the opportunity to pursue an engineering graduate certificate in addition to or in combination with the MS degree. For more information please refer to Graduate Certificate Programs.

Gordon Institute of Engineering Leadership

Master's Degree in Electrical and Computer Engineering with a Concentration in Microsystems, Materials, and Devices with Graduate Certificate in Engineering Leadership

Students may complete a Master of Science in Electrical and Computer Engineering with a Concentration in Microsystems, Materials, and Devices 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 48-semester-hour degree and certificate will require 32 semester hours of advisor-approved microsystems, materials, and devices technical courses.

Engineering Leadership

Complete all courses and requirements listed below unless otherwise indicated.

Options

Complete one of the following options:

Course Work Option

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 depth or breadth courses.4

Thesis Option

Depth Courses
Complete 12 semester hours from the depth course list below.12
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 depth or breadth courses.4
Thesis
EECE 7990Thesis8

Course Lists

Depth Courses

Thin Film Technologies (Thin Film Technologies -- former special topics course)
Micro- and Nanofabrication
Nanophotonics
Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology
Energy Harvesting Systems
Solid State Devices
Analog Integrated Circuit Design
Integrated Circuits for Mixed Signals and Data Communication
Integrated Circuit Fabrication
Introduction to Microelectromechanical Systems (MEMS)
Microwave Circuit Design for Wireless Communication
Design and Analysis of Digital Integrated Circuits
Radio Frequency Integrated Circuit Design
Power Management Integrated Circuits (Power Management Integrated Circuits -- former special topics course)
Microwave Properties of Materials
Optical Properties of Matter
Applied Magnetism
Electronic Materials
Advanced Magnetic Materials—Magnetic Devices
Magnetic Materials—Fundamentals and Measurements
VLSI Design
Special Problems in Electrical Engineering

Breadth Courses

Wireless Sensor Networks and the Internet of Things
Wireless Communication Systems
Classical Control Systems
Digital Control Systems
Image Processing and Pattern Recognition
Arithmetic and Circuit Design for Inexact Computing with Nanoscaled CMOS
Computer Vision
High-Performance Computing
Data Visualization
Simulation and Performance Evaluation
Biomedical Optics
Introduction to Machine Learning and Pattern Recognition
Biomedical Signal Processing
Digital Signal Processing
Electric Drives
Power Systems Analysis 1
Power Electronics
Electrical Machines
Analysis of Unbalanced Power Grids
Electromagnetic Photonic Devices
Radio-Frequency and Optical Antennas
Acoustics and Sensing
Special Topics in Electrical and Computer Engineering (Mobile Robotics)
Special Topics in Electrical and Computer Engineering (Principles of Assistive Robotics)
Special Topics in Electrical and Computer Engineering (Networks: Technology, Economics, Social Interactions)
Special Topics in Electrical and Computer Engineering (Software Security)
Special Topics in Electrical and Computer Engineering (Advanced Network Management)
Special Topics in Electrical and Computer Engineering (Robotics Sensing and Navigation)
Special Topics in Electrical and Computer Engineering (Parallel Processing for Data Analytics)
Special Topics in Electrical and Computer Engineering (Introduction to Multiferroic Materials and Systems)
Optics for Engineers
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
Power System Analysis 2
Power System Operation and Control
Power Systems State Estimation
Modeling and Simulation of Power System Transients
Advanced Power Electronics
Special Topics in Electric Drives
Special Topics in Power Systems
EECE 7258
Humanoid Robotics
Electromagnetic Theory 2
Computational Methods in Electromagnetics
Antennas and Radiation
Opto-electronics and Fiber Optics
Optical Detection
Special Topics in Electromagnetics, Plasma, and Optics
Modern Signal Processing
Two Dimensional Signal and Image Processing
Statistical and Adaptive Signal Processing
Pattern Recognition
Numerical Optimization Methods
Error Correcting Codes
Detection and Estimation Theory
Digital Communications
Information Theory
Computer Architecture
Fault-Tolerant Computers
Combinatorial Optimization
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
Special Topics (Probabilistic System Modeling and Analysis)
Special Topics (Big Data and Sparsity in Control, Machine Learning, and Signal Processing)
Special Topics (Compilers)
Special Topics (Advanced Computer Architecture)
Special Topics (Advanced Topics in Scalable and Sustainable System Design)
Preparing High-Stakes Written and Oral Materials
Sustainable Energy: Materials, Conversion, Storage, and Usage
Combinatorial Analysis
Graph Theory
Foundations of Artificial Intelligence
Database Management Systems
Computer Systems
Software Vulnerabilities and Security
Knowledge-Based Systems
Information Retrieval
Data Mining Techniques
Computational Imaging
Compilers
Advanced Software Development
Methods of Software Development
Parallel Computing
Network Security
Cryptography and Communications Security
Secure Wireless Ad-hoc Robots on Mission (SWARM) 1
Privacy, Security, and Usability
Distributed Algorithms
Special Topics in Network Science
Advanced Algorithms

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, ENSY, EMGT, INFO, SBSY, TELE
The following CS courses may not count toward any concentration within the MSECE program:
Programming Design Paradigm
Digital Image Processing
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