The MS in Public Health Data Science degree program consists of 32 units from courses in Biostatistics, Population and Public Health, and Computing that will prepare students for a career in data science focused on public health data and applications. Students will learn the foundations of Data Science; how to wrangle, scrape, create and manage large health-related datasets; summarize, visualize, and interpret data; apply statistical methods to draw conclusions from the data; use machine learning to reveal features of large, complex health-related datasets; learn the statistical theory behind common data science methods; and effectively communicate results and findings to a broad audience. This program is designed to be a terminal degree, but for students interested in pursuing further education, it can be used to lay the foundation for a PhD in Biostatistics, Statistics, Data Science, or Computer Science.

The department encourages applicants with undergraduate degrees in mathematics, statistics or biostatistics, computer science, or other related fields. Applicants must have knowledge of intermediary statistics and familiarity with at least one programming language. Preparation in differential and integral calculus and linear algebra is preferred.

Admissions requirements can be found on the Department of Population and Public Health Sciences webpage: *https://pphs.usc.edu/admissions/admission-requirements-master-of-science-in-public-health-data-science/*.

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