
Data Science, MS
USF’s one-year Master of Science in Data Science (MSDS) program delivers a rigorous curriculum focused on mathematical and computational techniques in the emerging field of data science. The curriculum emphasizes the careful formulation of business problems, selecting effective analytical techniques to address those problems, and communicating solutions in a clear and creative fashion.
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The Numbers Tell the Story
Technically Challenging Curriculum
Students master subjects such as regression, web scraping, SQL and NoSQL database management, natural language processing, business communications, machine learning, cluster analysis, application development, and interviewing skills.
Practicum
All students gain real world experience for nine months out of the twelve month program (15 hours/week) tackling data science and analytics problems at companies around the San Francisco Bay Area and beyond.
Faculty
Our faculty represent the fundamental multidisciplinary nature of the big data industry. They’re traditional academics and data scientists actively working in the field, using real industry experience to inspire their instruction.
From Info to Action
Data Science graduates, Danielle Savage ’18 and Cameron Carlin ’17, use data to serve the common good.

Amazon Web Services Partnership
Through a partnership with AWS Educate and USF's Data Institute, each student receives significant support in the form of credits to gain crucial familiarity and experience across their suite of technologies, including RedShift and EC2.
Data Science Boot Camp
The program begins with our boot camp, an intensive review of the foundational knowledge and skills required for success in the MSDS program.

Ka Yam
Class of '22
We have students from all walks of life, and so many students that don’t come from typical data science backgrounds. This program has really been so welcoming in terms of teaching everybody that is interested in the field."
Ka Yam
Class of '22
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Admission & Aid
Data Science, MS
San Francisco, CA 94105