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Yale PhD in Statistics and Data Science

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Yale Department of Statistics and Data Science

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Yale University

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“The Department offers a broad training program comprised of the main areas of statistical theory (with emphasis on foundations, Bayes theory, decision theory, nonparametric statistics), probability theory, stochastic processes, asymptotics, information theory, machine learning, data analysis, statistical computing, and graphical methods.”

Recommended Prerequisites: GRE scores for the General Test and a Subject Test (usually Mathematics). "All applicants should have a strong mathematical background, including advanced calculus, linear algebra, elementary probability theory, and at least one course providing an introduction to mathematical statistics. An undergraduate major may be in statistics, mathematics, computer science, or in a subject in which significant statistical problems may arise." For non-native English speakers, TOEFL scores.

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