MSc in Data Science in San Francisco United States | University of San Francisco

The University of San Francisco's intensive one-year Master of Science in Data Science (MSDS) program offers a demanding course of study centered on mathematical and computational data science methods. The program stresses precise definition of business challenges, choosing appropriate analytical approaches to solve them, and presenting solutions clearly and innovatively. Throughout the twelve-month program, students spend nine months (15 hours weekly) gaining hands-on experience solving data science and analytics challenges at organizations throughout the San Francisco Bay Area and other locations.

Graduates will- Demonstrate theoretical knowledge of traditional statistical models (including generalized linear models, linear time series models, etc.) along with practical application skills. Understand machine learning methods (such as random forests, neural networks, naive Bayes, k-means clustering, etc.) both theoretically and practically. Skillfully employ contemporary programming languages (like R, Python, SQL) and technologies (including AWS, Hive, Spark, Hadoop) to collect, process, structure, query, analyze, visualize, and model diverse large-scale datasets. Develop professional readiness by addressing actual business problems with data-driven solutions alongside peers, while recognizing the ethical, legal, social, and policy considerations increasingly relevant to data science professionals.