Students concentrating in Statistics acquire the conceptual, computational, and mathematical tools for quantifying uncertainty and making sense of complex data arising from many applications.

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Statistics provides quantitative methods for analyzing data, making rational decisions under uncertainty, designing experiments, and modeling randomness and variability in the world. Statistics has a theoretical core surrounded by a vast number of domains of application in fields such as: anthropology, astronomy, biology, business, chemistry, computer science, economics, education, engineering, environmental sciences, epidemiology, finance, government, history, law, linguistics, medicine, physics, psychology, sociology, and many others. A New York Times article pointed out the increasing demand for statisticians in an article with the headline: "For Today's Graduate, Just One Word: Statistics".

For Additional Questions

If you have questions, you can consult with:

Student Programs Administrator, Kathleen Cloutier, Science Center 400E (617-496-1402, cloutier@fas.harvard.edu)
Co-Director of Undergraduate Studies, Professor Joseph Blitzstein, Science Center 316.05 (617-496-2985, blitzstein@stat.harvard.edu)
Co-Director of Undergraduate Studies, Professor Kelly McConville, Science Center 316.04 (617-496-1824, kmcconville@fas.harvard.edu)
Associate Director of Undergraduate Studies, Professor Kevin Rader, Science Center 300D (617-495-5204, krader@fas.harvard.edu)

Undergraduate Program Information


Concentration Information

Learning in our Department


secondary field

Secondary Field Requirements 

Students primarily focusing on another discipline benefit from a solid grasp of Statistics, as well.


Degree Tracks

Concentration requirements are fulfilled via any of the four tracks. Explore them here.


Frequently Asked Questions

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Using Your Statistics Degree

Stephen Blyth

Stephanie Mitchell/Harvard Staff Photographer
Harvard Gazette, April 1, 2010

Recent alumni are applying their knowledge in a very wide variety of companies and graduate programs, including tech companies such as Google and IBM, investment banks such as Goldman Sachs and Credit Suisse, hedge funds such as D.E. Shaw and AlphaSimplex, medical schools, and Statistics PhD programs.

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