Embedded Systems, MSE

The Embedded Systems (EMBS) Graduate program is designed for students who wish to pursue industrial jobs in automotive, aerospace, defense, and consumer electronics, as well as for practicing engineers in the embedded systems industry who want to gain knowledge in state- of-the-art tools and theories. The core topics span embedded control, real-time operating systems, model-based design and verification, as well as implementation of embedded/autonomous systems.  Applicants are expected to have a strong academic background in both computer science and electrical engineering. All EMBS candidates must be confident working at both the hardware and software levels of the stack. EMBS is a multi- disciplinary field, but we understand that not all incoming students may have the background required in certain areas. While we do not have prerequisites for admission, it is highly recommended that your undergraduate coursework covered the basics of both C/C++ and Java programming, computer architecture, operating systems, and algorithms. Work experience and practical project experience in the domain of Cyber- Physical Systems a plus.

Curriculum

Core
Select 4 from the following:4
Computer Architecture
Software Systems
Principles of Embedded Computation
Embedded Software for Life-Critical Applications
Real-Time Embedded Systems
Theory Elective
Select 1 from the following:1
Software Foundations
Analysis of Algorithms
Theory of Computation
Fundamentals of Linear Algebra and Optimization
Principles of Embedded Computation
Linear Systems Theory
Intro to Linear, Nonlinear and Integer Optimization
Electromagnetic and Optical Theory
Data Mining: Learning from Massive Datasets
Applied Regression and Analysis of Variance
Statistical Inference
Mathematical Statistics
Electives
Select 5 from the following:5
Analysis of Algorithms
Introduction to Machine Learning
Operating Systems Design and Implementation
Computer and Network Security.
Networked Systems
Internet and Web Systems
Machine Perception
Special Topics
Data Structures and Sofware Design
Algorithms and Computation
Engineering Entrepreneurship I
Linear Systems Theory
Feedback Control Design and Analysis
IoT Edge Computing
Digital Signal Processing
System-on-a-Chip Architecture
Learning in Robotics
Special Topics in Electrical and Systems Engineering
Integrated Computer-Aided Design, Manufacturing and Analysis
Designing Smart Objects for Play and Learning
Design of Mechatronic Systems
Introduction to Robotics
Innovation
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.