The Master of Science in Data Science (MSDS) is a full-time, one-year program housed at USF’s downtown San Francisco campus. Commencing annually in early July, this comprehensive 35-unit program offers a state-of-the-art curriculum in AI and data science. Specifically designed for students.

The Master of Science in Applied Economics at the University of San Francisco trains students to apply the theoretical insights and empirical techniques of modern economics to practical problems in the business, government, and non-profit sectors. This 36-unit program focuses in particular on the skills needed in the increasingly digitized economy.

The Master of Science in Energy Systems Management program brings together diverse and highly motivated students from various academic and professional backgrounds, both U.S. and international. The two-year course of study meets the needs of both full-time students and working professionals, with classes held on weekday evenings at USF's downtown San Francisco campus.

Our 30-unit program in MS in Environmental Management offers a rigorous yet flexible mix of courses that integrate environmental science and engineering with policy and management knowledge. MSEM includes the option for a concentration in Ecology, Water Management, Environmental Health & Hazards, or Energy and Climate, as well as the option for a GIS certificate.

The rapid pace of globalization has increased the demand for professionals with training in international economics and economic development. Our one-of-a-kind Master of Science in International and Development Economics (IDEC) provides students with the knowledge and skills to understand how market forces can be harnessed to empower developing countries to break from cycles of poverty.

The 60-unit MS Computer Science Bridge program includes a one-year immersion in computing fundamentals, from object-oriented programming to algorithms and data structures. Students progress as a cohort through these foundational courses and, earning the required GPA, continue to complete the MS in Computer Science.

The 21-month, part-time Master of Science in Decision Analysis (MDA) is designed to impart critical professional skills, with an emphasis on research, analysis, and practical decision-making.

The 36-unit program in MS in Computer Science requires two years (four semesters) of full-time study and follows a cohort model during the first year in which all students take the same set of core courses. During the second year, students may choose from a rotating selection of graduate electives based on their interests and goals.

The outstanding academic and clinical resources of University Of California San Francisco (UCSF) Health and University Of California San Francisco (UCSF) Benioff Children's Hospitals provide the experience and training you need whether your goal is in academia, community public health, or private practice.

The MSFA program at the University of San Francisco provides a unique combination of academic rigor and practical expertise. There is no city in the world like San Francisco. Transform your career in the SF Bay Area with the USF Master of Science in Financial Analysis.

Discover the rewards of graduate nursing at the University of San Francisco (USF) School of Nursing and Health Professions. Unlike traditional programs, the MSN program emphasizes leadership, quality, safety, and evidence-based education.

Gain a professional edge with the Information Systems master's degree — where technology and business strategy intersect. Become an expert in helping companies succeed with information technology. Earn your Master of Science in Information Systems at the University of San Francisco.

Launch your professional entrepreneurial career from Silicon Valley. Just steps from some of the world’s most innovative companies in San Francisco and Silicon Valley, USF Master of Science in Entrepreneurship and Innovation (MSEI) students build essential technical and business skills, gain professional experience with Bay Area firms, discover new insights from executive mentors, and create new ventures on the way to launching professional entrepreneurial careers in the global heart of innovation.

The purpose of the program is to deliver a comprehensive curriculum in the fields of statistics and data science to prepare students with diverse backgrounds (including statistics, mathematics, computer science, engineering, and other quantitative fields) for the data science workforce or a doctoral program. The program curriculum emphasizes the following aspects. First, students will be trained in-depth in modern statistical and machine learning techniques in addition to the classical statistics theory and applications.

This concentration emphasizes both the principles and best practices of software engineering with the blend of individual and practical team-oriented projects in distributed and global setting.