Program Details

The Master of Science in Analytics (MSAN) is a full-time, one-year master’s program housed at USF’s downtown San Francisco campus. The program features a modern, open-source-focused curriculum for students who seek the technical expertise required to become data scientists and analysts, and the business skills to apply this knowledge effectively and strategically.

The 35-unit program concentrates on mathematical and computational techniques in the field of data science. Students learn to acquire, filter, clean, organize, and store data using Python. They use SQL and NoSQL as “glue” between data sources, and generate models using statistical tools such as R and SAS.

Included Course Topics
Text mining
Machine learning
Statistical modeling
Predictive analytics
Marketing analytics
Data visualization
Business communication

Analytics Boot Camp

The boot camp is an intensive introduction to, and review of, the foundational knowledge and skills required for sophisticated business analysts and data scientists. Students choose two out of three intensive courses in probability and statistics, computation for analytics, and linear algebra. Additionally, all students take a course in exploratory data analysis, which serves as our program’s formal introduction to the R programming language.

Amazon Web Services

The Master of Science in Analytics is proud to have our students develop software and run analyses on Amazon Web Services. Each student receives their own server(s) to manage so they have experience with the mechanics of installing and configuring software.


Our faculty represent the diversity 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.

Our Faculty

Weiwei Zhang, Alumni 2015 - Data Analyst/Predictive Modeler at Zeta Interactive

"I am very fortunate to have two female Practicum mentors at Zephyr Health: Jennifer Jack and Jiejing Zhao. Their knowledge in predictive modeling, project management and professionalism is what I look up to as a woman in technology."