The Master of Science in Data Science (MSDS) is a full-time, one-year program housed at USF’s downtown San Francisco campus. The 35-unit 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.
- Application Development
- Machine Learning
- Statistical Modeling
- Natural Language Processing
- Business Strategy
- Design of Experiments
- Distributed Computing
- Deep Learning
- Data Visualization
- Business Communication
Data Science 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 will take 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.
Practicum projects allow students to work an average of 10-15 hours per week for nine months tackling data science problems at companies around the San Francisco Bay Area and beyond.
Amazon Web Services Partnership
The Master of Science in Data Science is proud to have our students develop software and run analyses on Amazon Web Services. Through a new partnership with AWS Educate and USF's Data Institute, each student receives significant support in the form of credits to gain significant and crucial familiarity and experience across the suite of technologies offered by AWS including RedShift and EC2.
Classes are typically held Monday through Friday from 10 a.m. until 5 p.m., with three to four classes running simultaneously each module (half a semester). One to two days per week are devoted to practicum work, which begins mid-October.