The university-wide Department of Statistics and Data Science offers undergraduate and graduate degrees in Statistical Science (B.A.), Applied Statistics (MPS), and Statistics (M.S./Ph.D.). The Statistical Science undergraduate major, open to students in Arts and Sciences, provides an interdisciplinary academic program in the study of empirical quantitative reasoning in its scientific and social context. The Statistical Science major has been designed to ensure that students have a firm grounding in both the major area as well as substantial depth in a particular applied area.
M. T. Wells, chair; J. Booth, director of graduate studies; J. Abowd, S. Basu, J. Booth, F. Bunea, J. A. Bunge, T. DiCiccio, J. Guinness, Y. Hong, G. Hooker, K. Kato, N. Kiefer, D. Matteson, F. Molinari, Y. Ning, M. Nussbaum, D. Ruppert, M. Smith, M. Wegkamp, M. T. Wells, X. Yang
Three thematically-linked courses covering related topics to statistics. The courses should either have a quantitative component that involves probabilistic reasoning or covers mathematical or computational tools that are used within statistics.
Courses from the Statistical Methods list may be used to satisfy this requirement, but no course can be used for both requirements. Unless otherwise noted all courses should be taken at the 3000 level or above. Example sequences are provided on the Statistical Science and Biometry and Statistics websites.
Prerequisites to apply for the major include a minimum 2.50 cumulative GPA over at least two (2) semesters at Cornell University; and grades of C or higher in at least two (2) of the following courses to ensure foundational mathematical, computational, and/or statistical ability: