Computer Engineering / Embedded Systems Engineering

Computer engineering encompasses a wide range of topics surrounding this interaction between hardware and software. Computer engineers of the future will be versatile full-stack developers, comfortable with understanding the technical depths of software development while also possessing a wide knowledge of the underlying hardware implementations. The MSEE on Coursera curriculum in computer engineering emphasizes computer-aided verification and synthesis.

Embedded systems engineering is used in industries such as aerospace and defense, energy, industrial automation, health care, networking and communication, security, transportation and more. Embedded systems also drive the Internet of Things (IoT), enabling countless human-to-machine and machine-to-machine applications including home automation, security and more. 

The MSEE on Coursera's Embedded Systems Engineering curriculum covers essential embedded technologies, synthesizes foundational principles, and directly applies them to current tools and trends. It is structured to provide you with a broad, versatile and highly competitive skill set. We emphasize practical, project-based learning across hardware and embedded software design that addresses numerous end markets, as well as multiple semiconductor technologies including sensors, controllers, programmable devices and development tools.

Program Policies

This CU Boulder on Coursera program does not align with standard campus policies. Please refer to the Online Programs section of the catalog for more information.

Requirements

To earn a graduate certificate (9 credits), students must complete the required specializations (listed below).

Embedding Sensors and Motors Specialization

Embedding Sensors and Motors: Sensors, Sensor Circuit Design
Embedding Sensors and Motors: Motors, Motor Control Circuits
Embedding Sensors and Motors: Pressure and Motion Sensors
Embedding Sensors and Motors: Sensor Manufact, Process Ctrl

Embedded Interface Design Specialization

Embedded Interface Design: User Exp I/F Design for Emb Sys
Embedded Interface Design: Rapid Prototyping Emb I/F Designs
Embedded Interface Design: M2M, IoT I/F Design & Protocols

Developing Industrial Internet of Things Specialization

Industrial IoT Markets and Security
Developing Industrial IoT: Proj Planning, Machine Learning
Developing Industrial IoT: Modeling and Debugging Embed Sys