Accredited diploma

Offered by University of Colorado Boulder

Start earning degree credit

24 months

30 credit hours of graduate coursework

100% online

Hands-on learning from anywhere, no travel required

$20,010 USD total cost

Earn a data science degree from the only top-40 US public university with no application.

*Academic Ranking of World Universities, 2019


Learn valuable job skills for in-demand data science careers by pursuing a full Master of Science in Data Science degree from the University of Colorado Boulder. This fully online MS in Data Science is an ideal choice for career-focused learners eager to benefit from a comprehensive, multi-disciplinary approach.

This program leverages unparalleled faculty expertise across statistics, data science, computer science, natural language processing, information science, and more. You’ll gain broadly applicable foundational skills as well as develop specialized competencies tailored to specific career paths. Data scientist currently ranks as the #3 top job in America by both Glassdoor and Quanthub, and MS-DS graduates will be prepared to take advantage of the high demand for skilled data talent to land a new job or advance your career.

With performance-based admissions, there is no application—simply demonstrate you can do the work. No transcripts, tests, minimum GPAs, or application fees are needed to enroll in the program.

With pay-as-you-go tuition, you can craft the learning journey that’s right for your goals. You can build specific skills through independent courses, or complete a series of stackable courses to gain admission into the full degree program. Complete a series of for-credit courses in a “Pathway Specialization” maintaining a grade point average of 3.0 (B) or better to be admitted into the degree program. Combine the credits earned from the Pathway Specialization with additional for-credit courses totalling 30 credit hours.

What makes this program unique?

No transcripts, no minimum GPA, no GRE.

Gain admissions to an accredited master's degree program without ever having to submit an application. Our performance-based admissions means you prove you can do the work to earn admission. Simply complete a pathway series—3 courses in either statistics or computer science—to gain admission. Start today. No application required!

Personalize your pathway to a graduate degree.

This program offers you the opportunity to receive a world-class education while crafting a personalized learning journey tailored to your individual goals and needs. You can enroll in short, eight week courses right away to start earning academic credit, and ultimately complete the full 30-credit program to earn your master’s in data science—at your pace. Plus, there is no application. Simply demonstrate you can do the work, and start learning!

Deepen your data science knowledge through a multi-disciplinary approach.

Learn from top-tier faculty with decades of experience in statistics, computer science, information science, and more. Gain access to real-world big data sets, participate in hands-on projects that utilize cloud-based programming environments and Jupyter Notebooks, and design and implement your own statistical models. You will interact with domain experts from academia, business, government, and nonprofits, and do work in more advanced topics like natural language processing, geospatial analytics, and high-performance computing.

Admissions Information

Enrollment for the Spring 1 2023 session is now open!

Contact the CU Boulder MS-DS team at datascience@colorado.edu if you have any questions.

Important Dates

  • January 2: Spring 1 Enrollment opens
  • January 16: Spring 1 Classes start
  • February 24: Spring 1 Enrollment closes

You may be able to earn transferable credit towards this degree by successfully completing one or more of these participating programs

Enroll in a course today

Choose from courses in applied mathematics, statistics, computer science, and more. Learn at your own pace with video lectures and hands-on projects. Build specific skills and start earning credit toward a degree.

If you’d like to start with a non-credit course, we recommend enrolling in one of our pathway courses: Probability Theory: Foundation for Data Science or Algorithms for Searching, Sorting, and Indexing. You can always upgrade later to the for-credit experience and pay tuition to apply credit toward the full degree.

If you’d like to start earning credit for your course, complete an enrollment form and pay tuition to get started today.

Get started now

About the Program

Enroll Today

Anyone interested in growing their data science knowledge can enroll and start learning today. No application required. Simply complete a three-course pathway with a 3.0 GPA or higher to earn performance-based admission to the degree.

Learn more about Admissions
Learn more about Academics

Academics

Learn theory and methods of data science, including data structures, programming fundamentals, and statistics through 8-week modular courses.

Learn more about Academics

Careers

Develop in-demand data science and machine learning skills highly sought by recruiters and hiring managers at top-ranked companies.

Learn more about Careers

Student Experience

Study at your own pace with flexible, 8-week sessions while connecting with your peers and instructors through Slack, discussion forums, and office hours.

Learn more about Student Experience

About the University

With five Nobel Prize winners, five National Medal of Science winners, and 51 Fulbright fellows among its graduates, the University of Colorado Boulder is committed to excellence.

Learn more about University of Colorado Boulder

Try a Course

Preview courses taught by the same world-class faculty that teach on-campus before committing to a full degree. You can upgrade to a for-credit learning experience at any time.

Try a course today

Events

Jan2

Spring 1 Enrollment opens

Jan16

Spring 1 Classes start

Feb24

Spring 1 Enrollment closes

Frequently Asked Questions

Coursera does not grant credit, and does not represent that any institution other than the degree granting institution will recognize the credit or credential awarded by the institution; the decision to grant, accept, or transfer credit is subject to the sole and absolute discretion of an educational institution.