Master in Analytics
The M.S. in Analytics at the University of San Francisco is an intensive one-year program that provides students with the skills necessary to develop techniques and processes for data-driven decision-making — the key to effective business strategies.
The M.S. Analytics Program delivers rigorous training in the mathematical and computational techniques of Big Data. It provides mastery of the analytics tied to strategic decisions — and the skills to effectively communicate these results in business settings.
Students study topics such as data mining, machine learning, statistical models, predictive analytics, econometrics, optimization, risk analysis, data visualization, business communication and management science. USF's Analytics program is strongly technical and students write R and Python programs for most of their courses. Throughout their program, students work with an industrial partner in the Practicum (Practicums are unpaid and paid internships).
Graduates become data scientists and analysts in finance, marketing, operations, business intelligence and other groups generating and consuming large amounts of data.
"By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills" according to 'Big data: The next frontier for innovation, competition, and productivity' (McKinsey Global Institute).
"Universities can hardly turn out data scientists fast enough," according to 'Data Science: The Numbers of Our Lives', a New York Times article that also references the University of San Francisco's M.S. Analytics program.
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Last updated July 6, 2016