University of Pittsburgh logo

Master of Data Science

Webinar on October 23: University of Pittsburgh’s Master of Data Science Webinar | 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

Sample the program

Get a free preview of Pitt's Data Centric Computing PBA course - just submit a "Request info" form

100% online

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

Become an expert in Data Science with in-demand computing skills from a highly ranked U.S. university - regardless of prior programming experience

Advance or start your career in data science with the University of Pittsburgh’s fully online Master of Data Science (MDS) program. This 30-credit program will provide students with core computational, mathematical, and statistical concepts as well as predictive and database modeling, machine learning, data exploration, data management, and data curation.

Students will gain abilities to pose and answer real-world questions through data and complete experiential projects to build a portfolio they can share with potential employers, all at their own pace. The program adopts an inclusive approach, allowing individuals from diverse academic backgrounds beyond STEM who hold bachelor's degrees to acquire the essential knowledge and skills needed for a successful career in data science.

The MDS program is uniquely designed to unlock the ethical use of data and teach students how to explore the social impact of data science and craft their professional path to becoming responsible data scientists. Students will learn to choose the right methods, validate findings, and make ethically informed decisions.  

There are no admissions process requiring prior data or computer science work, programming experience or even an academic history beyond a bachelor’s degree. The fully accredited MDS program is performance-based, requiring students to attain a B grade or higher in an initial, three-credit course to continue toward the graduate degree.

Pursuing an advanced degree is not a decision that should be taken lightly – that’s why we developed a free preview of the pathway course. By clicking the “Request  Info” button at the top of the page, you will receive free access to preview Pitt’s Data Centric Computing PBA course. The best part? Your progress will transfer if you choose to enroll in the master’s program. Request more info today to gain access.

What’s in this degree program?

10 courses (30 credits) master’s degree taught by a leading public research university.
Learn to program for data analysis in Python and R, using Jupyter notebooks, and RStudio. Design and query relational databases using MySQL via MySQL Workbench, and design and query graph databases with Neo4j.
Gain a deep understanding of core computational, mathematical and statistical concepts, responsible data management, and data curation skills (ethically cleaning, interpreting, and using big data across a variety of contexts).
Opportunities to gain practical experience through data exploration and predictive modeling, and develop an ethical toolkit for informed and defensible decision-making.
Access and work with large, real-world data sources from campus, community and corporate partners.

Spring 2026 enrollment deadline: December 20

Upcoming events

  • October 23: University of Pittsburgh’s Master of Data Science Webinar - Register here
  • November 13: Master of Data Science Free Preview Course Sneak Peek - Register here
  • November 20: Online Degrees Made Simple with Performance-Based Admissions - Register here
  • December 11: University of Pittsburgh’s Master of Data Science Webinar - Register here

Additional resources

Spring 2026 enrollment deadline: December 20

Get started on your enrollment form or request more information.


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

Sample the program

Get a free preview of Pitt's Data Centric Computing PBA course - just submit a "Request info" form

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

Become an expert in Data Science with in-demand computing skills from a highly ranked U.S. university - regardless of prior programming experience

Advance or start your career in data science with the University of Pittsburgh’s fully online Master of Data Science (MDS) program. This 30-credit program will provide students with core computational, mathematical, and statistical concepts as well as predictive and database modeling, machine learning, data exploration, data management, and data curation.

Students will gain abilities to pose and answer real-world questions through data and complete experiential projects to build a portfolio they can share with potential employers, all at their own pace. The program adopts an inclusive approach, allowing individuals from diverse academic backgrounds beyond STEM who hold bachelor's degrees to acquire the essential knowledge and skills needed for a successful career in data science.

The MDS program is uniquely designed to unlock the ethical use of data and teach students how to explore the social impact of data science and craft their professional path to becoming responsible data scientists. Students will learn to choose the right methods, validate findings, and make ethically informed decisions.  

There are no admissions process requiring prior data or computer science work, programming experience or even an academic history beyond a bachelor’s degree. The fully accredited MDS program is performance-based, requiring students to attain a B grade or higher in an initial, three-credit course to continue toward the graduate degree.

Pursuing an advanced degree is not a decision that should be taken lightly – that’s why we developed a free preview of the pathway course. By clicking the “Request  Info” button at the top of the page, you will receive free access to preview Pitt’s Data Centric Computing PBA course. The best part? Your progress will transfer if you choose to enroll in the master’s program. Request more info today to gain access.

What’s in this degree program?

10 courses (30 credits) master’s degree taught by a leading public research university.
Learn to program for data analysis in Python and R, using Jupyter notebooks, and RStudio. Design and query relational databases using MySQL via MySQL Workbench, and design and query graph databases with Neo4j.
Gain a deep understanding of core computational, mathematical and statistical concepts, responsible data management, and data curation skills (ethically cleaning, interpreting, and using big data across a variety of contexts).
Opportunities to gain practical experience through data exploration and predictive modeling, and develop an ethical toolkit for informed and defensible decision-making.
Access and work with large, real-world data sources from campus, community and corporate partners.

Spring 2026 enrollment deadline: December 20

Upcoming events

  • October 23: University of Pittsburgh’s Master of Data Science Webinar - Register here
  • November 13: Master of Data Science Free Preview Course Sneak Peek - Register here
  • November 20: Online Degrees Made Simple with Performance-Based Admissions - Register here
  • December 11: University of Pittsburgh’s Master of Data Science Webinar - Register here

Additional resources

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.

*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 is a highly-ranked R1* public institution. Data Science links the School of Computing and Information to many other Schools and departments across campus, through a variety of cross-disciplinary projects. 

Our faculty have received research grants from various institutions, including: 

  • The National Science Foundation

  • The Office of Naval Research

  • The Air Force Office of Scientific Research

  • The Air Force Research Laboratory

  • The National Institute of Standards and Technology

  • The National Institutes of Health

  • The U.S. Department of Energy

  • The U.S. Department of Veterans Affairs.

Our students will benefit from our renowned faculty and our School’s tradition of quality, rigor and extensive research experience, setting them on a trajectory to professional success. Pitt’s MDS develops essential practical skills necessary for advancing your career in data science. 

The program prepares you for leadership roles such as data scientist or data architect, while immersing you in industry case studies to provide experience of real world data challenges. You’ll explore a wide array of relevant topics, equipping you for success in your data science career.

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

Spring 2026 enrollment deadline: December 20

Don’t miss your chance to join the intake!

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。

Spring 2026 enrollment deadline: December 20

Don’t miss your chance to join the intake!