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 MS-EE 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 MS-EE 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.

Looking for a specific course? Check out the Course List.

Specializations

Advanced Embedded Linux Development Specialization (3 credits)

Instructor: Dan Walkes

Real-Time Embedded Systems Specialization (3 credits)

Instructor: Sam Siewert, PhD, Associate Professor Adjunct 

Embedding Sensors and Motors Specialization (Pathway) (3 credits)

Instructors: Jay Mendelson, MSME, Lecturer​ & James Zweighaft, MSME

Note: This specialization requires purchase of a hardware kit in order to apply your knowledge and skill with real world tools. The hardware will be used to complete the lab exercises across the four courses of this specialization. Please allow adequate time to receive the hardware. It is highly suggested that you receive the hardware by the end of the first week of the session.

Embedded Interface Design Specialization (3 credits)

Instructor: Bruce Montgomery, PhD, Senior Instructor

Sensors for a Carbon Free World Specialization (3 credits)

Instructor: Jay Mendelson, MSME, Lecturer​ 

FPGA Design for Embedded Systems Specialization (Pathway) (3 credits)

Instructors: Timothy Scherr, MSEE, Senior Instructor​ & Benjamin Spriggs, MBA, MSEE, Lecturer​

Developing Industrial Internet of Things Specialization (3 credits)

Instructor: David Sluiter, BSEE, Lecturer

Engineering Genetic Circuits Specialization (3 credits)

Instructor: Chris Myers, PhD, Professor

Certificates

To complete a certificate, you must complete the required specializations.

Industrial Internet of Things Certificate (9 credits)

Required specializations:

  • Developing Industrial Internet of Things Specialization
  • Embedded Interface Design Specialization
  • Embedding Sensors and Motors Specialization

 Hardware & Software

Some courses in the embedded systems engineering area in the online MS-EE will utilize curated hardware kits designed by electrical engineering faculty to provide opportunities for you to apply your knowledge and skill with real world tools. 

FOR STUDENTS ENROLLED IN ECEA 5340 Sensors and Sensor Circuit Design (Embedding Sensors and Motors specialization):

Attached below is the Excel file of required parts to complete the lab exercises across the four courses of this specialization. We encourage you to order early so you can ensure you have the right parts.