Get started in the non-credit version of a course while you wait for the next CU degrees on Coursera enrollment period. You can upgrade, pay tuition, and transfer your progress to the for-credit version during any future enrollment period.

Click on a course below to learn more and enroll in the non-credit version. Find more curriculum details for on the ME-EM on Coursera program website.

Pathway Courses

Finance for Technical Managers (Pathway Specialization)

Project Management (Pathway Specialization)

Core Courses

Principles of Leadership: Leading Oneself

Technical Communication

Elective Courses

Global Perspectives of Diversity, Equity, and Inclusion (DEI) in the Workplace

Principles of Leadership: Leading Technical Organizations

Technology Entrepreneurship

Other Electives (Optional)

Up to 9 credits of courses from other CU degrees on Coursera programs may be applied as elective credits toward the ME-EM on Coursera. Courses must be graduate-level and meet all applicable academic standards. Courses may not be double counted toward two credentials of the same level. See the ME-EM on Coursera Student Handbook for details. 

Click on a course below to learn more and enroll in the non-credit version. Find more curriculum details for on the MS-DS on Coursera program website.

Get a head start on this new degree that launches in Fall 2023!

This new degree program will launch in Fall 2023. Preview course content now with the non-credit version of one of these courses. Work you complete in the non-credit version will transfer to the for-credit version when you upgrade and pay tuition. 

  • Apr. 13:  Preview opens for select non-credit courses
  • Aug. 14: For-credit enrollment opens
  • Aug. 28: For-credit courses open

Pathway Courses(Non-Credit)

Graduate Algorithms (Pathway Specialization)

Software Architecture for Big Data (Pathway Specialization)

Breadth Courses(Non-Credit)

Machine Learning: Theory & Hands-On Practice with Python

Click on a course below to learn more and enroll in the non-credit version. Find more curriculum details for on the MS-DS on Coursera program website.

Expressway Courses (Non-Credit)

Expressway to Data Science: R Programming & Tidyverse

Expressway to Data Science: Python Programming

Expressway to Data Science: Essential Math

Pathway Courses

Data Science Foundations: Data Structures and Algorithms (Pathway Specialization)

Data Science Foundations: Statistical Inference (Pathway Specialization)

Data Science Core Courses

Vital Skills for Data Scientists

Computer Science Core Courses

Machine Learning: Theory & Hands-On Practice with Python

Data Mining Foundations and Practice

Databases for Data Scientists

Statistics Core Courses

Statistical Modeling for Data Science

Elective Courses

High-Performance and Parallel Computing

Data Science Methods for Quality Improvement

Databases for Data Scientists

Deep Learning Applications for Computer Vision

Effective Communication

Statistical Learning for Data Science

Software Architecture for Big Data

Text Marketing Analytics

Finance for Technical Managers

Project Management

      Click on a course below to learn more and enroll in the non-credit version. Find more curriculum details for on the MS-EE on Coursera program website.

      Embedded Systems

      Embedding Sensors and Motors (Pathway Specialization)

      FPGA Design for Embedded Systems (Pathway Specialization) ​

      Developing Industrial Internet of Things

      Real-Time Embedded Systems

      Embedded Interface Design 

      Advanced Embedded Linux Development

       Power Electronics

      Power Electronics (Pathway Specialization)

      Power Electronics Capstone

      • ECEA 5715 Power Electronics Capstone Project (1.2 credits) - No non-credit version available

      Modeling and Control of Power Electronics

      Algorithms for Battery Management Systems

      Photovoltaic Power Electronics

      • ECEA 5716 Open-Loop Photovoltaic Power Electronics Laboratory (1 credit) - Same as ECEA 5005 - No non-credit version available
      • ECEA 5717 Closed-Loop Photovoltaic Power Electronics Laboratory (1 credit) - Same as ECEA 5006 - No non-credit version available
      • ECEA 5718 Photovoltaic Power Electronics Battery Management Laboratory (1 credit)  - No non-credit version available

      Power Semiconductor Devices 

      Photonics and Optics

      Optical Engineering (Pathway Specialization)

      Semiconductor Devices (Pathway Specialization)

      Active Optical Devices

      Quantum Mechanics for Engineers 

      Elective Courses

      Up to 9 credits of courses from other CU degrees on Coursera programs may be applied as elective credits toward the MS-EE on Coursera. Courses must be graduate-level and meet all applicable academic standards. Courses may not be double counted toward two credentials of the same level. See the MS-EE on Coursera Student Handbook for details.

       Indicates a cross-listed course offered under two or more programs (e.g., Dynamic Programming, Greedy Algorithms is offered as both CSCA 5414 and DTSA 5503). You may not earn credit for more than one version of a cross-listed course.

       

      How It Works

       
      • The work you complete in the non-credit version of a course transfers to the for-credit version when you upgrade and pay tuition. Due to their interactive nature, discussion board posts and peer-graded assignments may not transfer from session to session if you drop/withdraw and later re-enroll in a particular class. Be sure to save your work outside of the Coursera platform.
      • After you upgrade, you will complete additional graded assignments to earn credit for the course. Select courses may require the purchase of additional materials to complete graded assignments. See course pages linked above for details.
      • You can upgrade from non-credit to for-credit at any time during your learning journey.

       

      Students currently enrolled in for-credit CU degree on Coursera courses are eligible for free access to non-credit versions of 200+ CU courses through the CU on Coursera learning program. This program grants you sponsored access to a selected bundle of non-credit (open) courses from across the University of Colorado Coursera portfolio. Click below to learn more and get started.

      Learn About CU on Coursera