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

Click on aÌýcourseÌýbelow to learn more and enroll in the non-credit version. Find more curriculumÌýdetails for on the ME-EM on Coursera program website.

Pathway Courses

Finance for Technical Managers (Pathway)

  • EMEA 5021Ìý
  • EMEA 5022Ìý
  • EMEA 5023Ìý

Project Management (Pathway)

  • EMEA 5031
  • EMEA 5032Ìý
  • EMEA 5033Ìý

Core Courses

Principles of Leadership: Leading Oneself

  • EMEA 5051Ìý
  • EMEA 5052Ìý
  • EMEA 5053Ìý

Technical Communication

  • EMEA 5016Ìý
  • EMEA 5017Ìý
  • EMEA 5018Ìý

Elective Courses

The Data-Driven Manager

  • EMEA 5006
  • EMEA 5007Ìý
  • EMEA 5008

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

  • EMEA 5057Ìý
  • EMEA 5058Ìý
  • EMEA 5059Ìý

Principles of Leadership: Leading Technical Organizations

  • EMEA 5054Ìý
  • EMEA 5055Ìý
  • EMEA 5056Ìý

Technology Entrepreneurship

  • EMEA 5091Ìý
  • EMEA 5092Ìý
  • EMEA 5093Ìý

Principles of Leadership: Leading Technical Teams​

  • EMEA 5061Ìý
  • EMEA 5062Ìý
  • EMEA 5063Ìý

Introduction to Systems Engineering

  • EMEA 5034Ìý
  • EMEA 5035Ìý
  • EMEA 5036Ìý

Neuroscience of Personal Excellence

  • EMEA 5064Ìý
  • EMEA 5065Ìý
  • EMEA 5066

Marketing Strategy for Engineers and Technologists

  • EMEA 5094Ìý
  • EMEA 5095Ìý
  • EMEA 5096Ìý

Ethical Decision-Making in the Tech Industry

  • EMEA 5081
  • EMEA 5082Ìý
  • EMEA 5083Ìý

Product Development

  • EMEA 5401Ìý
  • EMEA 5402Ìý
  • EMEA 5403Ìý

Applied Sustainability for Technical Manangers

Resilience Engineering and Leadership in Crisis

  • EMEA 5231
  • EMEA 5232

Other ElectivesÌý(Optional)

Up to 9 credits of courses from other CU Boulder 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 theÌýME-EMÌýon Coursera Student Handbook for details.Ìý

Click on aÌýcourseÌýbelow to learn more and enroll in the non-credit version. Find moreÌýcurriculumÌýdetails for on the MS-CS on Coursera program website.

Pathway Courses (Non-Credit)

Foundations of Data Structures and AlgorithmsÌý(Pathway)

  • CSCA 5414ÌýÌý– Cross-listed with DTSA 5503
  • CSCA 5424Ìý
  • CSCA 5454Ìý

Software Architecture for Big DataÌý(Pathway)

  • CSCA 5008ÌýÌý– Cross-listed with DTSA 5507
  • CSCA 5018 Ìý– Cross-listed with DTSA 5508
  • CSCA 5028 Ìý– Cross-listed with DTSA 5714Ìý

Other Breadth Courses

Machine Learning: Theory & Hands-On Practice with Python

  • CSCA 5622ÌýÌý– Cross-listed with DTSA 5509
  • CSCA 5632 – Cross-listed with DTSA 5510
  • CSCA 5642 – Cross-listed with DTSA 5511

Computing, Ethics, and SocietyÌý

  • CSCA 5214Ìý
  • CSCA 5224Ìý
  • CSCA 5234Ìý

Network Systems: Principles and Practice (Linux and Cloud Networking)

  • CSCA 5063
  • CSCA 5073Ìý
  • CSCA 5083ÌýNetwork Principles in Practice: Cloud Networking (coming soon)

Elective Courses

Data Mining Foundations and PracticeÌý

  • CSCA 5502ÌýÌý– Cross-listed with DTSA 5504Ìý
  • CSCA 5512ÌýÌý– Cross-listed with DTSA 5505Ìý
  • CSCA 5522ÌýÌý– Cross-listed with DTSA 5506Ìý

Introduction to Robotics with WebotsÌý

  • °ä³§°ä´¡Ìý5312ÌýÌý
  • CSCAÌý5332 Ìý
  • CSCAÌý5342ÌýÌý

Generative AI

  • CSCAÌý5112Ìý
  • CSCA 5122: Modern Applications of Generative AI (in development)
  • CSCA 5132: Advances in Generative AIÌý(in development)

Foundations of Autonomous Systems

Click on aÌýcourseÌýbelow to learn more and enroll in the non-credit version. Find moreÌýcurriculumÌýdetails for on the MS-DS on Coursera program website.

Expressway Courses (Non-Credit)

Expressway to Data Science: R Programming & Tidyverse

  • Ìý– Non-credit only
  • Ìý– Non-credit only
  • Ìý– Non-credit only

Expressway to Data Science: Python Programming

  • Ìý– Non-credit only
  • Ìý– Non-credit only
  • Ìý– Non-credit only

Expressway to Data Science: Essential Math

  • Ìý– Non-credit only
  • Ìý– Non-credit only
  • Ìý– Non-credit only

Pathway Courses

Foundations of Data Structures and Algorithms (Pathway)

  • DTSA 5501Ìý
  • DTSA 5502Ìý
  • DTSA 5503ÌýÌý– Cross-listed with CSCA 5414

Data Science Foundations: Statistical InferenceÌý(Pathway)

  • DTSA 5001Ìý
  • DTSA 5002ÌýÌý
  • DTSA 5003

Data Science Core Courses

Vital Skills for Data Scientists

  • DTSA 5301Ìý
  • DTSA 5302Ìý
  • DTSA 5303Ìý
  • DTSA 5304Ìý

Computer Science Core Courses

Machine Learning:ÌýTheory & Hands-On Practice with Python

  • DTSA 5509ÌýÌý– Cross-listed with CSCA 5622; Same asÌýDTSA 5900-11Ìý
  • DTSA 5510ÌýÌý– Cross-listed with CSCA 5632Ìý
  • DTSA 5511ÌýÌý– Cross-listed with CSCA 5642

Data Mining Foundations and Practice

  • DTSA 5504ÌýÌý– Cross-listed with CSCA 5502
  • DTSA 5505ÌýÌý– Cross-listed with CSCA 5512
  • DTSA 5506ÌýÌý– Cross-listed with CSCA 5522

Databases for Data Scientists

  • DTSA 5733ÌýÌý– Core Course
  • DTSA 5734 Ìý– Core Course
  • DTSA 5735Ìý – Elective Course

Statistics Core Courses

Statistical Modeling for Data Science

  • DTSA 5011Ìý
  • DTSA 5012Ìý
  • DTSA 5013Ìý

Elective Courses

High-Performance and Parallel Computing

  • DTSA 5701Ìý

Data Science Methods for Quality Improvement

  • DTSA 5704Ìý – Same as DTSA 5900-1
  • DTSA 5705ÌýÌý
  • DTSA 5706Ìý

Databases for Data Scientists

  • DTSA 5733Ìý – Core CourseÌý
  • DTSA 5734Ìý – Core CourseÌý
  • DTSA 5735ÌýÌý– Elective Course

Deep Learning Applications for Computer Vision

  • DTSA 5707Ìý

Effective Communication

  • DTSA 5842Ìý
  • DTSA 5843Ìý

Statistical Learning for Data Science

  • DTSA 5020ÌýÌý
  • DTSA 5021Ìý
  • DTSA 5022Ìý

Software Architecture for Big Data

  • DTSA 5507ÌýÌý– Cross-listed with CSCA 5008
  • DTSA 5508 – Cross-listed with CSCA 5018
  • DTSA 5714ÌýÌý– Cross-listed with CSCA 5028

Text Marketing Analytics

  • DTSA 5798Ìý
  • DTSA 5799Ìý
  • DTSA 5800Ìý

Click on aÌýcourseÌýbelow to learn more and enroll in the non-credit version. Find more curriculumÌýdetails for on the MS-EE on Coursera program website.

Embedded Systems

Embedding Sensors and Motors (Pathway)

  • ECEA 5340Ìý (0.8 credits)
  • ECEA 5341Ìý (0.8 credits)
  • ECEA 5342Ìý (0.8 credits)
  • ECEA 5343Ìý (0.6 credits)

FPGA Design for Embedded Systems (Pathway)Ìý​

  • ECEA 5360 (0.8 credits)
  • ECEA 5361 (0.8 credits)
  • ECEA 5362 (0.8 credits)
  • ECEA 5363 (0.6 credits)

Developing Industrial Internet of Things

  • ECEA 5385 (1 credit)
  • ECEA 5386 (1 credit)
  • ECEA 5387 (1 credit)

Real-Time Embedded Systems

  • ECEA 5315Ìý (0.6 credits)
  • ECEA 5316Ìý (0.8 credits)
  • ECEA 5317Ìý (0.8 credits)
  • ECEA 5318Ìý (0.8 credits)

Embedded Interface DesignÌý

  • ECEA 5346 (1 credit)
  • ECEA 5347 (1 credit)
  • ECEA 5348 (1 credit)

Sensors for a Carbon Free World​

  • ECEA 5349 (1 credit)

Advanced Embedded Linux Development

  • ECEA 5305Ìý (1 credit)
  • ECEA 5306Ìý (1 credit)

ÌýPower Electronics

Power ElectronicsÌý(Pathway)

  • ECEA 5700 (0.8 credits)
  • ECEA 5701 (1 credit)
  • ECEA 5702 (1.2 credits)
  • ECEA 5703 (1 credit)

Power Electronics Capstone

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

Modeling and Control of Power Electronics

  • ECEA 5705 (0.8 credits)
  • ECEA 5706 (0.6 credits)
  • ECEA 5707 (0.6 credits)
  • ECEA 5708 (1.2 credits)
  • ECEA 5709 (0.6 credits)

Algorithms for Battery Management Systems

  • ECEA 5730 (0.8 credits)
  • ECEA 5731 (0.8 credits)
  • ECEA 5732 (1 credit)
  • ECEA 5733 (0.8 credits)
  • ECEA 5734 (0.8 credits)

Photovoltaic Power Electronics

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

Power Semiconductor DevicesÌý

  • ECEA 5721 (0.6 credits)
  • ECEA 5722 (1.2 credits)

Photonics and Optics

Optical EngineeringÌý(Pathway)

  • ECEA 5600 (1 credit)
  • ECEA 5601 (1 credit)
  • ECEA 5602 (1 credit)

Semiconductor Devices (Pathway)

  • ECEA 5630 (1 credit)
  • ECEA 5631 (1 credit)
  • ECEA 5632 (1 credit)

Active Optical Devices

  • ECEA 5605 (1.2 credits)
  • ECEA 5606 (1.2 credits)
  • ECEA 5607 (0.6 credits)

Quantum Mechanics for EngineersÌý

  • ECEA 5610 (1.4 credits)
  • ECEA 5611 (0.8 credits)
  • ECEA 5612 (0.8 credits)

Elective Courses

Control Systems Analysis

  • ECEA 5800 Ìý(1 credit)

Engineering Genetic Circuits

  • ECEA 5934ÌýÌý(1 credit)Ìý

Up to 9 credits of courses from other CU Boulder 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 theÌýMS-EE on Coursera Student Handbook for details.

Cross-listed Courses:ÌýCoursesÌýthat are offered under two or more programs. Considered equivalent when evaluating progress toward degree requirements. You may not earn credit for more than one version of a cross-listed course.

Ìý

How It Works

Ìý
  • 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.

Ìý

Â鶹ÒùÔº currently enrolled in for-credit CU Boulder degree courses on Coursera 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.

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