Master of Science in Data Science

An interdisciplinary, applied data science master’s degree with no application. Pass a series of placement tests and get started right away.

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, geospatial analytics, and natural language processing. 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. Take a series of area-specific exams, earn a B average or better, and you will be admitted into the degree. Learn and earn credit without needing to wait 6 months while your application is being completed and reviewed.

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

The Master of Science in Data Science degree is subject to final approval by the University of Colorado. Sign up to receive updates on this exciting new program!

Who is this degree for:

Anyone who is interested in the field of data science, no matter your academic background. Pass the placement tests and get started today, or take the exams to learn the areas that you need to develop to enter the degree.

AT A GLANCE

  • Coming in January 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 January 2021

The degree experience is...

100% ONLINE
100% ONLINE

The same 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

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