Learn more about the MDS program at a live webinar on November 21. Register here!
Offered by the University of Pittsburgh, a highly-ranked, Carnegie R1 public research institution
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, with flexible payment options available.
Develop your capabilities to perform big data management, apply machine learning techniques, design database modeling, present data visualization, and communicate data insights.
Potential careers include: data scientist, data analyst, data coordinator, data engineer, and analysts in sectors such as business, healthcare, supply chain, market research, sales, recruiting, finance, and data governance and compliance.
Build a portfolio of projects throughout the program based on real-world examples to share with potential employers.
Enjoy access to Pitt career services which include a job opportunity board, resume writing and cover letter support, interview preparation assistance, salary negotiation training, and membership of the Pitt Alumni Association.
Learn to lead data-driven initiatives in an ethically responsible way, helping to set the parameters of a rapidly expanding field with massive social impact.
Upon completion, you’ll receive a diploma from the University of Pittsburgh to enhance your resume. The diploma is the same for all graduates, whether the program was completed online or on campus.
Gain admission into the degree through your performance in one introductory course. No transcripts, essays, letters of recommendation, or exams are required! Details.
Get a Head Start on Your MDS! Click the ‘request info’ button above & receive early access to the “Data Centric Computing” PBA preview course. The best part? All your progress will transfer when classes start in January!
Join the Pitt team on November 21 as they discuss curriculum, admission, career outcomes, and more! Take advantage of the opportunity to ask questions in real-time with the Q&A feature. Register here for the webinar!