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Master of Science in Data Science

University of Colorado Boulder

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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

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

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 hours of study per credit hour per week
Weekly live online lectures and office hours with instructors and staff
Join a robust and thriving alumni network and career services to help you succeed after graduation

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

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 hours of study per credit hour per week
Weekly live online lectures and office hours with instructors and staff
Join a robust and thriving alumni network and career services to help you succeed after graduation

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
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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 80 percent 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.

Launch into a career in Data Science

Build your expertise in:

How to be a well-rounded leader and drive growth
Managing financials, value chains, and organizations
Mastering business fundamentals like business analytics, accounting, and economics
Subject-matter expertise in digital marketing entrepreneurship, innovation and more

Advance your career

$100,910

Average salary of a Data Scientist in the United States

113,300

Job postings in Data Science in the USA

36% growth by 2031

The field is seeing extreem growth- with a much higher year over year growth 2021-2031

Qualify for in-demand jobs

Data Scientist

Decision Scientist

Statistician

The U.S. Bureau of Labor Statistics expects the number of data scientist jobs to grow by 19% over the next two decades.

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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 is open for Spring 2023

The deadline to enroll is February 18, 2023

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Enroll in a for-credit course today

You can enroll as a non-degree student and can earn credit towards your degree right away. No application required. Simply complete a registration form, pay tuition and start learning.

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Interested in getting started, but not yet ready to commit?

Try a course that is part of the degree

These courses are part of the degree program. You can begin courses in non-credit and once you upgrade to for-credit, all of your progress will transfer with you, and the for-credit courses will count toward your degree.

Events

February 8

Upcoming webinar: Join CU Boulder to learn about their new MS in Data Science program. You’ll hear about performance-based admissions, the interdisciplinary curriculum, and career outcomes for this 100% online degree program.

Register now

April 23

Upcoming webinar: Join CU Boulder to learn about their new MS in Data Science program. You’ll hear about performance-based admissions, the interdisciplinary curriculum, and career outcomes for this 100% online degree program.

Frequently asked questions

Students who complete the programme will earn a master's degree, M.A. in International Relations, Security and Strategy. This degree will be the same as an on-campus degree. (No mention of online in the degree title). However, online mode of learning will be mentioned on the back side of the certificate, as per the guidelines of the University Grants Commission, Govt. of India. This degree is unique from the on-campus M.A. in Diplomacy, Law, and Business programme. Click here to see sample degree certificate.

Georgetown graduates have gone on to careers in fields such as business and entrepreneurship, communications and public relations, education and administration, health care, humanities and the arts, journalism, law and legal services, nonprofit organization, sales and marketing, social services, technology management, and more.

Yes, the program is fully accredited by the Middle States Commission on Higher Education.

Yes, you’ll have the opportunity to enroll in and complete two open courses that focus on the acquisition of foundational cyber security skills. These courses draw from the Cyber Security Foundations module, which is the first module in the full degree programme. Your progress from this course can be carried over to the full degree. This means that if you enroll in the full degree programme you won’t have to repeat the learning activities you’ve already completed.

Individual modules from the degree will also be available to study.

Cyber Security Fundamentals

This course is intended to provide a general introduction to key concepts in cyber security. It is aimed at anyone with a good general knowledge of information and communications technology. The nature, scope and importance of cyber security are explained, and key concepts are justified and explored. This includes examining the types of threat that cyber security must address, as well as the range of mechanisms, both technological and procedural, that can be deployed.

The role of cryptography in providing security is explored, including how algorithms and keys play their part in enabling cyber security. The key supporting function played by key management is identified, including why the use of cryptographic functions depends on it.

The need for security management in an organisation is explained, and its main elements are introduced - including the key role played by risk management. The importance of standardised approaches to security management is explained, as is the notion of compliance.

The program is designed to be flexible for working individuals. Students who take three courses per session will complete the MS-DS degree in about two years. There are six eight-week sessions per year. The degree is flexible. Take more courses per session to complete the degree more quickly, or fewer courses per session if you prefer a slower pace. Please note that you must complete all courses within eight years.

30 credits are required to earn the Master of Science in Data Science degree. Each course is worth one credit.

You can take as many courses as you would like at the same time. You must complete all for-credit coursework and exams by the last day of each session. It’s recommended that you start with one course and decide from there if it is feasible to take more at the same time.

Yes. When you successfully complete the online MS-DS degree, you may come to campus to participate in the graduation ceremony.

Yes. There are weekly online office hours where you can interact with course facilitators and ask questions.

No, you do not, although previous experience in statistics and computer science is helpful. Not sure if you're ready? You can enroll in a pathway specialization as a non-credit learner, which gives you the option to preview course content. Then, you can upgrade to the for-credit version and pay tuition when you are ready.

Once you enroll in a for-credit course, you will receive a CU email address. There is no physical ID card.

Yes. The Slack channel and discussion forums are ways to connect and network. The program also hosts a number of in-person and online networking events throughout the year.

Yes. Once admitted to the program, you’ll have access to Handshake, a comprehensive resource for all things career related, and VMock online resume review. Graduates can also join the Forever Buffs alumni association.

Tuition is $525 per credit hour and $15,750 for the full 30-credit master’s degree. With “pay-as-you-go” tuition, you pay only for the courses you are taking in the upcoming term at the time of enrollment.

You do not need any specific background to be admitted to the program. However, it is helpful to have previous experience in statistics and computer science. Not sure if you're ready for a for-credit class? You can enroll in a Pathway Specialization as a non-credit learner, which gives you the option to preview course content. Then, you can upgrade to the for-credit version and pay tuition when you are ready.

You are also welcome to enroll in the Bridge to Data Science courses if you need to brush up on your statistics and/or programming skills. These non-credit courses are designed to prepare you for the MS-DS program.

Enrollment is open for Spring 2023

The deadline to enroll is February 18, 2023

Enroll Now