The Graduate Certificate in Embedded Systems provides an introduction to embedded systems, including hardware design and software engineering principles. Students learn to apply electrical engineering, computer engineering, and computer science principles in real-world embedded platforms.

Effective Fall 2021

 Additional coursework may be required due to prerequisites.

Select three courses from the following: 111-12
Machine Learning
Foundations of Fine-Grain Parallelism
Parallel Processing
Embedded Systems and Machine Learning
Computer Architecture
Manycore System Design Using Machine Learning
Hardware/Software Design of Embedded Systems
Advanced Topics in Embedded Systems
Program Total Credits:11-12

 *This certificate may have courses in common with other graduate certificates. A student may earn more than one certificate, but a given course may be counted only in one certificate.