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Offered by the University of Pittsburgh, a top-ranked, Carnegie R1 research institution
10 courses total (30 credits), 9-10 hours per week
Pay-as-you-go for the courses you enroll in, one term at a time
Request access to the free preview of Pitt's Data Centric Computing PBA course
Lecture videos, hands-on projects and live sessions with instructors and peers
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.
Want to preview a course? Request more info by clicking the “request info” button at the top of the page to receive early access to the “Data Centric Computing” PBA course. Your progress on videos and readings in this preview course will seamlessly transfer to your for-credit experience, ensuring that the efforts you put in now will count towards your future academic success.
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.
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.
Don’t miss your chance to join the intake!