• The Master of Science in Public Health Data Science integrates biostatistics, epidemiology, and computer science. Students will be prepared for careers where there is a growing need for individuals who can learn from data to address important questions in public health and biomedical sciences.
  • The program is designed to provide students with rigorous quantitative training in statistical and computational skills needed to manage, analyze, and learn from health data. Students will learn 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.