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Master of Data Science

Learn more about Pitt's MDS at an October 17 webinar. Register today!

University of Pittsburgh logo

Master of Data Science

University of Pittsburgh

Accredited Master’s Degree

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

20 months (part-time)

Finish this 30-credit program in 20 months (9-10 hours per week), working at your own pace.

Learn from anywhere

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

$15,000 Tuition Cost

Pay-as-you-go for the courses you enroll in, one term at a time, with flexible payment options available.

Admissions information

This program is targeted at highly motivated graduates and working professionals looking to upskill in this area, as well as graduates entering the field of data science from an unrelated or non-STEM academic or professional background.

At Pitt, there are three academic terms per calendar year. Both Spring and Fall terms are 15 weeks long, while the Summer term is 12 weeks long. Spring 2025 dates will be announced soon.

Admissions information

Gain admission into the degree through your performance in one introductory course. No transcripts, essays, letters of recommendation, or exams are required! Details.

  • Enrollments close: December 22, 2024
  • First day of classes: January 8, 2025

Upcoming webinar

Join the Pitt MDS team on October 17 at 12 PM ET for an exclusive live webinar. Explore MDS curriculum, enrollment, and more. Plus, get the chance to ask questions during a live Q&A portion. Register now!

Admissions information

Gain admission into the degree through your performance in one introductory course. No transcripts, essays, letters of recommendation, or exams are required! Details.

  • Enrollments close: December 22, 2024
  • First day of classes: January 8, 2025

Upcoming webinar

Join the Pitt MDS team on October 17 at 12 PM ET for an exclusive live webinar. Explore MDS curriculum, enrollment, and more. Plus, get the chance to ask questions during a live Q&A portion. Register now!