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Master of Science in Data Science

University of Colorado Boulder 徽标

Master of Science in Data Science

University of Colorado Boulder

Accredited degree

Offered by the University of Colorado Boulder

Finish in 24 months

30 courses total (30 credit hours) full or part-time, 4–6 hours per week per course

$15,750 USD total cost

Each time you take a course, pay tuition for that course only ($525/credit hour)

Performance-based admission

Start learning and show us you’re ready, regardless of your background

100% online

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

An interdisciplinary curriculum for data-driven strategy

The Master of Science in Data Science program, sits at the unique intersection of computer science, statistics, and business applications. Co-taught by experts from five distinct university departments, it provides a holistic perspective on the entire data lifecycle, from collection and modeling to strategic interpretation.

You will learn to do more than just analyze data; you will be trained to translate it. The coursework is intentionally designed to equip you with the skills to build predictive models, design effective experiments, and clearly communicate your findings to drive real-world business impact and inform leadership decisions.

Master statistical modeling and inference
Go beyond basic analytics to build sophisticated statistical models, conduct rigorous A/B testing, and draw valid conclusions from complex datasets.
Build end-to-end data pipelines
Learn the computer science skills needed to collect, clean, and manage large-scale data, ensuring data quality and accessibility for analysis.
Translate complex insights into business value
Develop vital skills in data visualization and communication to present technical findings clearly and persuasively to non-technical stakeholders.
Gain proficiency in essential data science tools
Become fluent in the core programming languages and platforms of the trade, including Python, R, and SQL, to manipulate and analyze data effectively.

2026 年春季第 1 期课程开始接受申请!

  • 报名截止日期:2026年2月20日

活动预告

  • 敬请关注!

其他资源

有问题? 请发送电子邮件至[email protected] 联系 Coursera for Teams

2026 年春季第 1 期课程开始接受申请!

  • 报名截止日期:2026年2月20日

活动预告

  • 敬请关注!

其他资源

有问题? 请发送电子邮件至[email protected] 联系 Coursera for Teams

Spring 2026 session 1 deadline: February 20

Don’t miss your chance to join the cohort!