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.

Over 90 percent of all graduates since the program's inception in 2012 received an offer of employment within three months of graduation at companies including Amazon, Apple, Facebook, LinkedIn, Lyft, Zillow, Twitch, Tesla, Microsoft, Pinterest, and Visa.

Data Science, MS

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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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Student sits back and listens in class with a laptop on the table

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.

Internship 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.

Instructor points to a part of a math formula on the white board

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.

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.