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Master of Science in Data Science

Spring 2 2024 enrollment is now open!

University of Colorado Boulder logo

Master of Science in Data Science

University of Colorado Boulder

Fully accredited online program

Graduate from the University of Colorado Boulder

$15,750 USD total tuition

Flexible payment options with no hidden costs or fees

Finish in 24 months

Complete 30 courses (30 credit hours) full or part-time

100% online learning

Lecture videos, hands-on projects, and connection with instructors and peers

Start earning your master’s in high-growth data science

No matter your academic background, the Master of Data Science (MS-DS) is an ideal choice if you’re interested in a career in data science. Program admission is based on your performance in your first three courses.

You’ll learn theory, methods, tools, and programming languages—skills that qualify you for a variety of data scientist jobs, which are expected to increase by 36% between 2021 and 2031, according to the U.S. Bureau of Labor Statistics. This is more than seven times faster than the average growth rate for all jobs.

The University of Colorado Boulder is a Tier 1 Research institution and home to a community of scientists, scholars, and educators—including Nobel Laureates, MacArthur Genius Grant winners, and National Medal of Science awardees.

What’s in this degree program?

30 courses (30 credit hours) accredited by the Higher Learning Commission (HLC), which is part of the North Central Association of Colleges and Schools (NCA)
A combination of computer science or statistics courses, core courses, vital skills courses, and electives
Complete the MS-DS program in as little as 18 months, with about 4-6 hours of study per credit hour per week
Weekly live office hours with instructors and staff
Join a robust and thriving alumni network and career services to help you succeed after graduation

Admissions Information

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

Important Dates

  • February 26: Spring 2 Enrollment opens
  • March 11: Spring 2 Classes start
  • April 19: Spring 2 Enrollment closes

Watch the most recent webinar recording: MS-DS and MS-CS: Upgrading from Non-Credit to For-Credit Webinar

Make progress before you enroll

These courses are part of this degree program. If you are admitted and enroll in the degree program, your coursework can count toward your degree learning and your progress can transfer with you.

Get started today

Start your first course or request more information

Enroll Now

Fully accredited online program

Graduate from the University of Colorado Boulder

$15,750 USD total tuition

Flexible payment options with no hidden costs or fees

Finish in 24 months

Complete 30 courses (30 credit hours) full or part-time

100% online learning

Lecture videos, hands-on projects, and connection with instructors and peers

Fully accredited online program

Graduate from the University of Colorado Boulder

$15,750 USD total tuition

Flexible payment options with no hidden costs or fees

Start earning your master’s in high-growth data science

No matter your academic background, the Master of Data Science (MS-DS) is an ideal choice if you’re interested in a career in data science. Program admission is based on your performance in your first three courses.

You’ll learn theory, methods, tools, and programming languages—skills that qualify you for a variety of data scientist jobs, which are expected to increase by 36% between 2021 and 2031, according to the U.S. Bureau of Labor Statistics. This is more than seven times faster than the average growth rate for all jobs.

The University of Colorado Boulder is a Tier 1 Research institution and home to a community of scientists, scholars, and educators—including Nobel Laureates, MacArthur Genius Grant winners, and National Medal of Science awardees.

What’s in this degree program?

30 courses (30 credit hours) accredited by the Higher Learning Commission (HLC), which is part of the North Central Association of Colleges and Schools (NCA)
A combination of computer science or statistics courses, core courses, vital skills courses, and electives
Complete the MS-DS program in as little as 18 months, with about 4-6 hours of study per credit hour per week
Weekly live office hours with instructors and staff
Join a robust and thriving alumni network and career services to help you succeed after graduation

Make progress before you enroll

These courses are part of this degree program. If you are admitted and enroll in the degree program, your coursework can count toward your degree learning and your progress can transfer with you.

Admissions Information

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

Important Dates

  • February 26: Spring 2 Enrollment opens
  • March 11: Spring 2 Classes start
  • April 19: Spring 2 Enrollment closes

Watch the most recent webinar recording: MS-DS and MS-CS: Upgrading from Non-Credit to For-Credit Webinar

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No application needed, ever―just start learning and show us you’re ready

Even if you don’t have a bachelor’s degree or extensive work experience, you can become part of the MS-DS. You’ll never have to apply to gain admission into the program. After passing three for-credit courses in the MS-DS program with grades of 3.0 or higher, you’ll be qualified.

Learn more

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Pay-as-you-go tuition and six eight-week sessions to study on your schedule

  • $15,570 USD tuition total With flexible payment options, you can pursue a high-quality education at the pace you choose.
  • Pay-as-you-go tuition Each time you take a course, pay tuition for that course only. If a scheduling conflict arises, you’re free to take a term off without charges or penalties.
  • Financial aid opportunities Interested in exploring payment and scholarship financing opportunities? Find out more information on how to make this program fit your budget.
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Access a flexible curriculum designed to empower you in your career goals

Fast-track your way to your MS-DS degree. With 30 courses taken at your own pace, you can achieve your goals more quickly than you’d imagined.

Learn More

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Enrollment for Spring 2 session is now open!

Spring 1 enrollment closes April 19

Enroll in a for-credit course today

Want to enroll in the full degree course now and earn transcriptable credit? You can enroll directly with the university as a non-degree student.Enroll in for-credit now

Enroll in course

1. Enroll in course

Explore course options to find the courses that fit your needs

Pursue admission to degree

2. Pursue admission to degree

Fill out a form or application on the university's website and pay to enroll

Get accepted and enroll

3. Get accepted and enroll

Complete the course and earn transcriptable college credit which will count toward your degree learning if you are accepted into the full degree program¹

Transfer credit

4. Transfer credit

You can apply to transfer the credits earned towards your degree program after admission to the program

¹Each university determines the number of pre-approved credits that may count towards the degree requirements according to institutional policies.

Prepare for this degree

These courses may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

Frequently asked questions

Graduates with a degree in data science are well-prepared to enter the workforce as data architects, analysts, and engineers; machine learning architects and engineers; business intelligence developers; and statisticians, among other professions.

The number of data scientist jobs is expected to grow by 36 percent between 2021 and 2031—more than seven times faster than the average growth rate for all jobs—according to the U.S. Bureau of Labor Statistics.

Yes. The online MS-DS program falls under the University of Colorado Boulder’s overall accreditation by the Higher Learning Commission (HLC).

Yes. Simply enroll in any course and take as many as you like. No commitment is required. You can also enroll in the non-credit course on the Coursera platform and upgrade to the for-credit version at a later time by paying the associated tuition.

Enrollment for Spring 2 session is now open!

Spring 1 enrollment closes April 19