Big Data Requires Big Skills
From consumer retail to "smart grids," trading algorithms to health care delivery, business generates an unprecedented amount of data. Harnessing that data is critical to success. Students with the skills to ask good questions, identify patterns and trends, and leverage Big Data to drive business strategy are in short supply and high demand.
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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.
An innovative, interdisciplinary program offered jointly by the College of Arts and Sciences and the School of Management, the 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 highly 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 (some are 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 as well.." 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 references USF's analytics program.
The program hosts a weekly Seminar Series in Analytics for students and community members that focuses on topics of interest to the data community. Find out more about our guest speakers.