Electrical Engineering, MSE

The MSE Program in Electrical Engineering gives students the theoretical and technological foundation needed to deal with the new ideas and new applications that are the hallmarks of modern electrical engineering.  A major advantage of our MSE program is that it allows students to focus their education according to their interests and goals, from nanotechnology and circuits, to embedded systems or robotics.  The MSE Program in Electrical Engineering gives students the theoretical foundation and the interdisciplinary skills needed to deal with the new ideas and new applications that are the hallmarks of modern electroscience. A major advantage of our MSE Program allows you to tailor your education to your own interests and goals, from Electromagnetics and Photonics, sensors and MEMS to VLSI and Nanotechnology.

Electrical Engineering Degree Requirements

10 course units are required for MSE in Electrical Engineering.1

EE Core
Select 5 required course units in any of the three areas below: 25
Physical Devices and Nano Systems
Electromagnetic and Optical Theory
Battery and Super-Capacitor Systems
The Physics of Solid State Energy Devices
Quantum Engineering
Nanoscale Science and Engineering
Photovoltaic Systems Engineering
Introduction to Micro- and Nano-electromechanical Technologies
Nanofabrication and Nanocharacterization
The Principles and Practice of Microfabrication Technology
Circuits and Computer Engineering
Real-Time Embedded Systems
System-on-a-Chip Architecture
Electronic Design Automation
Mixed Signal Design and Modeling
Digital Integrated Circuits and VLSI-Fundamentals
Analog Integrated Circuits
RFIC (Radio Frequency Integrated Circuit) Design
Information and Decision Systems
Linear Systems Theory
Intro to Linear, Nonlinear and Integer Optimization
Feedback Control Design and Analysis
Introduction to Networks and Protocols
Dynamical Systems for Engineering and Biological Applications
Estimation and Detection Theory
Elements of Probability Theory
Digital Signal Processing
Statistics for Data Science
Data Mining: Learning from Massive Datasets
ESE Electives
Select 2 ESE electives 32
SEAS Electives
Select 1 SEAS elective 4, 51
Open Electives
Select 2 open electives 62
Total Course Units10

The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2020 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.