Statistical Science

Faculty
The Major

The university-wide Department of Statistical 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.

Website: www.stat.cornell.edu

Faculty

M. T. Wells, chair; R. L. Strawderman, director of graduate studies; J. A. Bunge, director of professional programs; J. Abowd, J. Booth, F. Bunea, T. DiCiccio, R. Durrett, Y. Hong, G. Hooker, J. T. G. Hwang, N. Kiefer, P. Li, D. Matteson, F. Molinari, M. Nussbaum, P. Protter, S. Resnick, D. Ruppert, G. Samorodnitsky, S. J. Schwager, B. Turnbull, P. Velleman, M. Wegkamp, D. Woodard

The Major:

Statistical Theory (8 courses):

Statistical Applications (3 courses):

Three (3) additional courses from among:

STSCI 3100 - Statistical Sampling (crosslisted)
ECON 3200 - Introduction to Econometrics
ORIE 3510 - Introduction to Engineering Stochastic Processes I (crosslisted)
BTRY 3520 - Statistical Computing (crosslisted)
STSCI 4100 - Multivariate Analysis (crosslisted)
STSCI 4110 - Statistical Methods III: Categorical Data (crosslisted)
STSCI 4140 - [Statistical Methods IV: Applied Design] (crosslisted)
STSCI 4740 - Data Mining and Machine Learning
CS 4780 - Machine Learning
STSCI 4030 - Applied Linear Statistical Models via Matrices (crosslisted)
BTRY 6520 - Computationally Intensive Statistical Methods (crosslisted)
NTRES 6700 - Spatial Statistics

External Specialization (3 courses):

Three 3000+ related courses that are outside of Statistical Science and total at least nine credits (3 credit minimum per course). At least one course to include a paper, a project, or research with substantive, non-trivial application of statistical methods to subject-related data.

Admission:

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 three (3) of the following courses to ensure foundational mathematical, computational, and/or statistical ability:

MATH 1110 - Calculus I
MATH 1120 - Calculus II
CS 1110 - Introduction to Computing Using Java or
CS 1112 - Introduction to Computing Using MATLAB
STSCI 2200 - Biological Statistics I (crosslisted) or
BTRY 3010 - Biological Statistics I (crosslisted)
STSCI 3200 - Biological Statistics II (crosslisted) or
BTRY 3020 - Biological Statistics II (crosslisted)