专业描述

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 recent 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." A basic goal of the Statistics concentration is to help students acquire the conceptual, computational, and mathematical tools for quantifying uncertainty and making sense of complex data arising from many applications. 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. Statistics can be applied almost anywhere; to reflect this, the concentration allows many opportunities to learn about how statistics is used in other fields; by definition, statistics should not be studied in isolation. The concentration requirements can be fulfilled via any of four tracks: a General track in core statistical principles and methods, a track in Data Science, a track in Quantitative Finance, and a track in Bioinformatics and Computational Biology (BCB). These tracks all lead to a degree in Statistics.