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Master of Data Science

Webinar on May 28: Explore the University of Pittsburgh Master of Data Science | Register here

University of Pittsburgh 徽标

Master of Data Science

University of Pittsburgh

Accredited degree

Offered by the University of Pittsburgh, a top-ranked, Carnegie R1 research institution

20 months

10 courses total (30 credits), 9-10 hours per week

$15,000 USD total cost

Pay-as-you-go for the courses you enroll in, one term at a time

Performance-based admission

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

100% online

Lecture videos, hands-on projects and live sessions with instructors and peers

Build in-demand tech and AI skills at a top university with no programming experience required

Advance or start your career with the fully online Master of Data Science (MDS) program from the University of Pittsburgh, a Forbes 2025 ‘New Ivy’ institution. This 30-credit program is designed for individuals from diverse academic backgrounds and provides core concepts in computation, statistics, predictive modeling, large language models (LLMs), and machine learning. Through experiential projects, you will learn to answer complex questions with data and build a professional portfolio at your own pace.

The Master of Data Science degree program is uniquely designed to teach the ethical use of data. You will explore the social impact of data science; develop skills in data exploration and visualization, data management and curation; learn to choose appropriate methods, validate findings, and make informed decisions as a responsible professional.

Admission does not require prior programming experience or a specific academic history beyond a 4-year bachelor’s degree. The fully accredited MDS program is performance-based, allowing you to secure full admission by earning a B or higher grade in the initial three-credit course.

What sets this program apart?

Interdisciplinary foundation
Master a curriculum blending computer science, statistics, and information science concepts.
Applied project experience
Build a professional portfolio by applying your skills to real-world case studies and a capstone project.
Industry-relevant curriculum
Led by a top research university, the program blends rigorous foundations with real-world projects.
Responsible data science
Develop the ability to make ethical decisions through a curriculum grounded in responsible practices.
Career-building connections
Access the expansive Pitt network and work with data from our university and corporate partners.
Accessible pathway to entry
Prove your readiness for the program through our unique performance-based admission course.

2026 年夏季班的招生工作已经结束!

  • 2026 年秋季班即将开学,敬请期待!

近期活动

  • 5月28日: 探索匹兹堡大学数据科学硕士课程 -在此注册

其他资源

2026 年夏季学员截止日期:已关闭


Accredited degree

Offered by the University of Pittsburgh, a top-ranked, Carnegie R1 research institution

20 months

10 courses total (30 credits), 9-10 hours per week

$15,000 USD total cost

Pay-as-you-go for the courses you enroll in, one term at a time

Performance-based admission

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

100% online

Lecture videos, hands-on projects and live sessions with instructors and peers

Accredited degree

Offered by the University of Pittsburgh, a top-ranked, Carnegie R1 research institution

20 months

10 courses total (30 credits), 9-10 hours per week

Build in-demand tech and AI skills at a top university with no programming experience required

Advance or start your career with the fully online Master of Data Science (MDS) program from the University of Pittsburgh, a Forbes 2025 ‘New Ivy’ institution. This 30-credit program is designed for individuals from diverse academic backgrounds and provides core concepts in computation, statistics, predictive modeling, large language models (LLMs), and machine learning. Through experiential projects, you will learn to answer complex questions with data and build a professional portfolio at your own pace.

The Master of Data Science degree program is uniquely designed to teach the ethical use of data. You will explore the social impact of data science; develop skills in data exploration and visualization, data management and curation; learn to choose appropriate methods, validate findings, and make informed decisions as a responsible professional.

Admission does not require prior programming experience or a specific academic history beyond a 4-year bachelor’s degree. The fully accredited MDS program is performance-based, allowing you to secure full admission by earning a B or higher grade in the initial three-credit course.

What sets this program apart?

Interdisciplinary foundation
Master a curriculum blending computer science, statistics, and information science concepts.
Applied project experience
Build a professional portfolio by applying your skills to real-world case studies and a capstone project.
Industry-relevant curriculum
Led by a top research university, the program blends rigorous foundations with real-world projects.
Responsible data science
Develop the ability to make ethical decisions through a curriculum grounded in responsible practices.
Career-building connections
Access the expansive Pitt network and work with data from our university and corporate partners.
Accessible pathway to entry
Prove your readiness for the program through our unique performance-based admission course.

2026 年夏季班的招生工作已经结束!

  • 2026 年秋季班即将开学,敬请期待!

近期活动

  • 5月28日: 探索匹兹堡大学数据科学硕士课程 -在此注册

其他资源

No application needed

University of Pittsburgh offers a performance-based pathway for all learners for the Master of Data Science degree. Get admitted based on your performance in approved courses - no application required.

Complete a one-course pathway in Data-Centric Computing for credit. Achieve at least a B and on providing proof of your bachelor’s degree, you’ll be admitted to the degree program.

Learn more by watching a recording of the demo course, including a Q&A session — watch here.

*Eligibility requirements apply. Each institution determines the successful course completion required to qualify for performance-based admission. Review the admissions process for this degree program for more information. Click on a specific course for details.

通过灵活的 "现收现付 "学费,平衡工作、学习和个人生活

学位总学费

15,000 美元

。 30 个学分的数据科学硕士学位课程总学费为 15,000 美元。 学费每年更新一次。*

  • 美国和非美国的现收现付学费。 公民{2}

    注册课程后,无论您住在哪里,都只需支付该课程的学费。
  • 提供付款计划{2}

    可分期付款,对于超过 $300 的任何金额,提供 3 个月或 6 个月的灵活付款计划。(6 个月计划仅适用于秋季和春季学期,3 个月计划适用于夏季学期。)

Join Pitt, a center of Academic Excellence

The University of Pittsburgh, a world-class New Ivy and R1* research institution, offers a top-ranked degree grounded in academic excellence. You will learn from renowned faculty whose research, funded by organizations like the National Science Foundation, the Air Force Office of Scientific Research, the U.S. Department of Energy, and more, shapes the program’s holistic curriculum.

The program prepares you for leadership roles by providing hands-on experience solving data challenges with data from our community and corporate partners.

*R1 is an elite designation given by the Carnegie Classification of Institutions of Higher Education to universities with the highest levels of research activity. Typically, less than 5% of institutions qualify for R1 status

Summer 2026 cohort deadline extension: Closed

Don't miss your chance to join this cohort!

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。

常见问题

是的,与校内课程相同。 课程结束后,您将获得毕业证书。 这是授予数据科学硕士的学位,您的毕业证书上不会提到 Coursera 或在线学习。

不,数据科学硕士课程不能在在线和校内课程之间转换,因为该课程仅在线提供。

是的,教授校内课程的敬业而高素质的教师们也同样教授 MDS 在线课程。 致力于保持校内和在线教育教学质量的一致性,是我们教育方法的基本组成部分。

Summer 2026 cohort deadline extension: Closed

Don't miss your chance to join this cohort!