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Master of Science in Data Science

Webinar on January 6: MS in Data Science from CU Boulder: Program Overview | Register here

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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

Become a data-driven leader at the intersection of tech and strategy

Position yourself at the intersection of computer science, statistics, and business applications with the Master of Science in Data Science (MS-DS). This degree is ideal for learners who want to do more than build models; it prepares you to translate data into strategic insights and drive real-world impact.

Uniquely co-taught across five university departments, this program trains you to be the crucial translator between technical teams and business leaders. You will learn to build predictive models, design experiments, and, most importantly, interpret and communicate your findings to shape organizational decisions. This interdisciplinary approach ensures you're prepared not just for a technical role, but for analytics leadership.

Program admission is performance-based, determined by your success in three preliminary courses, not your academic history, making a career in the high-growth field of data science accessible. You’ll graduate from a top-ranked global university, prepared for essential roles like Data Scientist, Business Intelligence Analyst, or Analytics Manager.

What sets this program apart?

Earn a fully accredited university credential
Complete a 30-credit-hour master's degree that is fully accredited by the Higher Learning Commission (HLC), ensuring the highest standard of academic quality and institutional value.
Interdisciplinary approach
Learn at the intersection of statistics, computer science, and business application, delivered by experts from five distinct CU Boulder departments.
Flexible, interdisciplinary study
Customize your degree by choosing from a rich selection of electives in deep learning, computing, big data, marketing analytics, and more to align with your career goals.
Drive real-world impact
Move beyond theory to focus on applying, interpreting, and communicating data to solve practical problems and influence strategy.
Join a thriving data community
Benefit from weekly live office hours with instructors and tap into a robust alumni network for career-long support and opportunities.
Accessible to all backgrounds
Gain admission through a performance-based pathway, allowing you to prove your potential regardless of your prior field of study.

2025 年秋季第 2 学期招生已结束

近期活动

  • 1月6日 中大博尔德数据科学硕士课程:项目概述 -在此注册

其他资源

有问题? 请通过[email protected] 联系 CU Boulder MS-DS 团队。

2025 年秋季第 2 学期招生已结束

索取更多信息。


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

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

Become a data-driven leader at the intersection of tech and strategy

Position yourself at the intersection of computer science, statistics, and business applications with the Master of Science in Data Science (MS-DS). This degree is ideal for learners who want to do more than build models; it prepares you to translate data into strategic insights and drive real-world impact.

Uniquely co-taught across five university departments, this program trains you to be the crucial translator between technical teams and business leaders. You will learn to build predictive models, design experiments, and, most importantly, interpret and communicate your findings to shape organizational decisions. This interdisciplinary approach ensures you're prepared not just for a technical role, but for analytics leadership.

Program admission is performance-based, determined by your success in three preliminary courses, not your academic history, making a career in the high-growth field of data science accessible. You’ll graduate from a top-ranked global university, prepared for essential roles like Data Scientist, Business Intelligence Analyst, or Analytics Manager.

What sets this program apart?

Earn a fully accredited university credential
Complete a 30-credit-hour master's degree that is fully accredited by the Higher Learning Commission (HLC), ensuring the highest standard of academic quality and institutional value.
Interdisciplinary approach
Learn at the intersection of statistics, computer science, and business application, delivered by experts from five distinct CU Boulder departments.
Flexible, interdisciplinary study
Customize your degree by choosing from a rich selection of electives in deep learning, computing, big data, marketing analytics, and more to align with your career goals.
Drive real-world impact
Move beyond theory to focus on applying, interpreting, and communicating data to solve practical problems and influence strategy.
Join a thriving data community
Benefit from weekly live office hours with instructors and tap into a robust alumni network for career-long support and opportunities.
Accessible to all backgrounds
Gain admission through a performance-based pathway, allowing you to prove your potential regardless of your prior field of study.

2025 年秋季第 2 学期招生已结束

近期活动

  • 1月6日 中大博尔德数据科学硕士课程:项目概述 -在此注册

其他资源

有问题? 请通过[email protected] 联系 CU Boulder MS-DS 团队。

Build toward a degree at your own pace

Not ready to commit to a full degree? Start with a course. When you complete eligible courses, you may be able to have your learning recognized for credit if you are admitted and enroll in the Master of Science in Data Science. Gain in-demand skills while building towards a degree.

Get started with the following  eligible specialization and build your progress toward a future degree.

*Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.

现收现付的学费和六次为期八周的课程,可按自己的时间表学习

  • 学费总额 15,570 美元 通过灵活的付款方式,您可以按照自己选择的进度接受高质量的教育。
  • 现收现付学费 每次选课时,只需支付该课程的学费。如果出现时间冲突,您可以自由请假,不会受到任何处罚。
  • 资助机会 有兴趣了解付款和奖学金资助机会吗?了解更多有关如何使该计划符合您的预算的信息。
A blonde-haired woman sitting cross-legged on a couch, smiling at her open laptop.

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 3.0 or higher, you’ll be qualified.

Learn more

A blonde-haired woman sitting cross-legged on a couch, smiling at her open laptop.

立即注册提供学分的课程

想要立即注册完整的学位课程并获得可记录的学分吗?您可以以非学位学生的身份直接在大学注册。立即注册以获取学分

注册课程

1. 注册课程

探索课程选项,找到适合您需求的课程

继续攻读学位

2. 继续攻读学位

在大学网站上填写表单或申请表,然后付款即可注册

获得录取并注册

3. 获得录取并注册

完成课程并获得可记录的大学学分,如果您被完整的学位课程计划¹录取,则这些学分会计入您的学位学习成绩

转移学分

4. 转移学分

被学位课程计划录取后,您可以申请将所获得的学分转入该计划

¹每所大学会根据机构政策确定预先批准的学分数量,这些学分可能计入学位要求。

攻读学位

当您完成这些课程时,如果您被录取并注册,您所学到的知识可被承认为本学位的学分¹。

  • DeepLearning.AI

    Become a Machine Learning expert

必须成功申请并注册。资格要求适用。各院校会根据您现有的学分情况,确定完成本课程后可计入学位要求的学分。单击特定课程了解更多信息。

攻读学位

这些课程是学位课程的一部分。如果您被录取并注册,您已完成的课程可以计入您的学位学习,您的学习进度也可以随之转移。

必须成功申请并注册。资格要求适用。各院校会根据您现有的学分情况,确定完成本课程后可计入学位要求的学分。单击特定课程了解更多信息。

为此学位做准备

这些课程可让您预览相关学位课程计划中的主题、材料和授课教师,以便您确定该主题或大学是否适合您。

常见问题

拥有数据科学学位的毕业生已做好充分准备,可以进入数据架构师、分析师和工程师、机器学习架构师和工程师、商业智能开发人员和统计人员等职业。

根据美国劳工统计局(U.S. Bureau of Labor Statistics)的数据,在 2021 年至 2031 年期间,数据科学家职位的数量预计将增长 36%,是所有职位平均增长率的七倍多。

是。科罗拉多大学博尔德分校的在线 MS-DS 课程通过了高等教育委员会 (HLC) 的全面认证。

是的,您只需报名参加任何课程,想学多少就学多少。 无需承诺。 您也可以在 Coursera 平台上注册非学分课程,然后支付相关学费升级到学分课程。