The faculty members are recognized around the world for their expertise and have garnered many prestigious awards and honors. Current research projects are helping make fundamental advances in neuroscience, cosmology, public policy, finance, and genetics. Research in the department spans the gamut from pure mathematics to the hottest frontiers of science. The Department of Statistics & Data Science at Carnegie Mellon University is world-renowned for its contributions to statistical theory and practice. Many of our students have also gone on to graduate study at some of the top programs in the country including Carnegie Mellon, the Wharton School at the University of Pennsylvania, Johns Hopkins, University of Michigan, Stanford University, Harvard University, Duke University, Emory University, Yale University, Columbia University, and Georgia Tech. Census Bureau, and the Science and Technology Policy Institute or worked for Teach for America. Other students have taken research positions at the National Security Agency, the U.S. Recent Statistics majors at Carnegie Mellon have taken jobs at leading companies in many fields, including the National Economic Research Association, Boeing, Morgan Stanley, Deloitte, Rosetta Marketing Group, Nielsen, Proctor and Gamble, Accenture, and Goldman Sachs. For all these reasons, Statistics & Data Science students are highly sought-after in the marketplace. Moreover, statisticians must learn to collaborate effectively with people in other fields and, in the process, to understand the substance of these other fields.
Statisticians must master diverse skills in computing, mathematics, decision making, forecasting, interpretation of complicated data, and design of meaningful comparisons.
Indeed, the tools of Statistics apply to problems in almost every area of human activity where data are collected. Statistical issues are central to big questions in public policy, law, medicine, industry, computing, technology, finance, and science. Statistics is the science and art of making predictions and decisions in the face of uncertainty. Uncertainty is inescapable: randomness, measurement error, deception, and incomplete or missing information complicate all our lives. Sylvie Aubin, Undergraduate Academic Advisor Samantha Nielsen, Associate Director of Academic ProgramsĪmanda Mitchell, Academic Program Manager Peter Freeman, Director of Undergraduate Studies
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