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
Student Experience
What’s it like to get an MS-DS from Boulder while learning on Coursera?
The MS-DS program is 100% online on Coursera with the same degree content as our on-campus offering. The program is an interactive, engaging experience in a high-quality online learning environment. With a flexible schedule, you get to choose when and where you learn. You can join office hours and live group sessions with faculty and staff. And learn alongside your cohort through lectures videos, discussion forums, peer-graded assignments, quizzes, hands-on projects, and more.
Pre-recorded lecture videos
Enjoy taking a deep dive into every course with 2-15 minute high-quality video lectures from instructors.
Attend office hours
Ask questions and get answers in virtual office hours with instructors and teaching assistants.
Slide decks with audio commentary
Dive deeper into course materials with slide decks that include explantions from instructors with visual aids.
Learn alongside an online community
Connect with fellow learners in staff-moderated discussion forums to share ideas, ask questions, and grow together.
Practical exercises in coding and analysis
Walk through hands-on exercises alongside instructors to add to your portfolio and showcase to employers.
Study on your own schedule
With no class times, get your coursework done during the week when it’s convenient for you.
Meet your instructors
Bobby Schnabel
Department External Chair and Professor of Computer Science
Brian Zaharatos
Director, Professional Master’s Degree in Applied Mathematics, Applied Mathematics
Anne Dougherty
Senior Instructor & University of Colorado Teaching Professor in Applied Mathematics; Associate Department Chair; Undergraduate Studies Chair
Jane Wall
Faculty Director
Di Wu
Teaching Assistant Professor
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