Master of Science in Data Science

An interdisciplinary, applied data science master’s degree with performance-based admissions and no application process.

Join the exciting and growing field of data science! The University of Colorado Boulder is developing a Master of Science in Data Science degree. This degree will draw on CU Boulder faculty expertise in statistics, data science, computer science, business analytics, natural language processing, and information science. You’ll learn cross-functional communication and teamwork as you master the skills that fuel creative problem-solving and drive today’s business innovations. Learn foundational skills and then apply them in elective specialties to achieve your personal career goals.

With short, 4-6 week courses, this rigorous degree matches the needs of today’s workforce. Performance-based admissions means there are no prerequisites or an application. Enroll right away into a series of three, 1-credit “pathway” courses with a focus on either statistics or computer science. Complete your pathway courses with a B or better to be admitted, all while making direct progress toward your degree.

Degree-seeking students will participate in practical, hands-on projects that utilize cloud-based programming environments and Jupyter Notebooks. Coursework includes access to real-world big data sets to prepare you for your future career.

We anticipate launching the degree in the first half of 2021. Sign up to receive the latest updates on this exciting new program!

Who this degree is for:

Anyone interested in the field of data science, no matter your academic background. With performance-based admissions, there is no application process –– simply prove you can do the work and you can earn the degree. Stackable courses, pay-as-you-go tuition, and a flexible path through the curriculum make this degree ideal for those with little or extensive experience in the field of data science.

At a Glance

  • Coming in Spring 2021
  • 30 short courses for 30 credits - About 2 years to complete
  • Completely online

Want to learn more before applying?

After answering a few short questions, we’ll be able to share with you important updates about the degree, including upcoming events and information about the enrollment process.

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Academics

Initial courses will cover theory and methods of data science, including data structures, programming fundamentals, and statistics. Learn both R and Python programming, the most commonly used languages in data science. Training will emphasize theory and methods as well as the tools of the modern workplace, including Amazon Web Services, the Hadoop file system, and tools like SQL and Apache Spark. Become proficient in Predictive Modeling, Risk Analysis, Data Visualization, Machine Learning, and AI.

Data scientists must also understand how to translate business and research problems into useful technical solutions, which requires communication, teamwork, and leadership skills. You’ll work in teams to learn and practice professional skills of leadership, communication, and collaboration — especially in how to communicate technical solutions to non-technical professionals. You’ll also interact with domain experts from academia, business, government, and nonprofits to apply your data science skills to real industry scenarios. There are also specialized courses in areas like natural language processing, geospatial analytics, and high-performance computing.

  • 30 short courses for 30 credits - About 2 years to complete
  • Coming in Spring 2021

The degree experience is...

ONLINE LEARNING
ONLINE LEARNING

The same kind of courses you’ll find on campus, with the flexibility to learn when and where you want.

INTERACTIVE
INTERACTIVE

Collaborate with a global network of industry leading classmates, instructors, and alumni.

ENGAGING
ENGAGING

Innovative courses with lectures from some of the world’s best instructors and hands-on projects.

CAREER-FOCUSED
CAREER-FOCUSED

Practical courses designed to help you master skills that you can start applying to your career right away.

When you graduate, you’ll be able to:

  • Success

    Use the latest industry tools and technology to manage, visualize, and analyze complex data sets

  • Success

    Apply data science skills to solve business challenges and drive critical decision-making

  • Success

    Communicate complex analysis clearly and effectively across your organization

  • Success

    Join theory with application to create the most effective solutions for your organization’s data science needs

About University of Colorado Boulder

In 2018, the prestigious Academic Ranking of World Universities listed the University of Colorado Boulder as the 38th best in the world, determined by educational quality, student training, faculty prestige, and faculty research. CU Boulder, founded in 1876 and nestled against the foothills of the Rocky Mountains, is a Research 1 institution that proudly anchors one of the most entrepreneurial technology corridors in the United States. Our faculty have launched over 140 new start-ups, our researchers have filed for 1,276 patents in the last eight years, and 548 inventions have been delivered in the last five.

We are the proud home of a community of scientists, scholars, and educators that includes five Nobel Laureates, eight MacArthur Genius Grant winners, four National Medal of Science awardees, and over eleven interdisciplinary research institutes. As one of only 34 U.S. public research institutions accepted into the prestigious Association for American Universities (AAU), the University of Colorado Boulder is committed to discovering new knowledge and solving the humanitarian, social, and technological challenges of our time. Set in one of the world's most inspiring and entrepreneurial learning environments, the University of Colorado Boulder enables each member of our community to push boundaries, explore the unknown, and change lives.

#38

University in the World

5

Nobel Laureates

#1

Public University Recipient of NASA Research Funds

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. We encourage you to investigate whether this degree meets your academic and/or professional needs before applying.