Final deadline for Pitt's MDS is August 16. Enroll today!
Offered by the University of Pittsburgh
Finish this 30-credit program in 20 months (9-10 hours per week), working at your own pace.
Lecture videos, hands-on projects and live sessions with instructors and peers.
Pay-as-you-go for the courses you enroll in, one term at a time. (Tuition is updated annually)
Designed for graduates from any background, our program focuses on building responsible theoretical and practical skills to help you launch or advance your career as a data scientist in our increasingly data-driven economy.
Earning your Master of Data Science will enable you to:
Cultivate skills in advanced analytics and ethical leadership, empowering you to strategically guide data-driven initiatives and foster collaborative success within interdisciplinary teams.
Acquire the computational, mathematical and statistical knowledge needed for responsible data management and data curation, ethically cleaning, interpreting and using big data across a variety of contexts.
Program in Python and R, using Jupyter notebooks and RStudio.Â
Design and query relational databases using various tools (e.g. MySQL via MySQL Workbench and Neo4j).
Gain practical experience through data exploration and predictive modeling.
Develop hands-on experience with large, real-world data sources from campus, community and corporate partners.
Enrollment for Fall 2024 is open!
Gain admission into the degree through your performance in one introductory course. No transcripts, essays, letters of recommendation, or exams are required! Details.
View our most recent info session on program structure, performance-based admissions, tuition payment options, and more. Watch Webinar
Enrollment for Fall 2024 is open!
Gain admission into the degree through your performance in one introductory course. No transcripts, essays, letters of recommendation, or exams are required! Details.
View our most recent info session on program structure, performance-based admissions, tuition payment options, and more. Watch Webinar