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; G. Hooker, director of graduate studies; J. Abowd, J. Bien, J. Booth, F. Bunea, J. A. Bunge, T. DiCiccio, Y. Hong, M.L. Karns, N. Kiefer, P. Li, D. Matteson, F. Molinari, M. Nussbaum, S. Resnick, D. Ruppert, G. Samorodnitsky, M. Smith, B. Turnbull, P. Velleman, M. Wegkamp, D. Woodard, X. Yang

The Major:

Statistical Theory (8 courses):

MATH 2210 - Linear Algebra or
MATH 2230 - Theoretical Linear Algebra and Calculus or
MATH 2310 - Linear Algebra with Applications
MATH 2220 - Multivariable Calculus or
MATH 2240 - Theoretical Linear Algebra and Calculus or
MATH 2130 - Calculus III
PHIL 2310 - Introduction to Deductive Logic or
PHIL 2610 - [Knowledge and Reality]
STSCI 3200 - Biological Statistics II (crosslisted)
STSCI 3080 - Probability Models and Inference (crosslisted) or
ECON 3130 (formerly 3190) - Statistics and Probability or
MATH 4710 - Basic Probability
STSCI 3520 - Statistical Computing (crosslisted)
STSCI 4030 - Linear Models with Matrices (crosslisted)
STSCI 4090 - Theory of Statistics (crosslisted) or
MATH 4720 - Statistics

Statistical Applications (3 courses):

Three (3) additional courses from among:

STSCI 2150 - Introductory Statistics for Biology
STSCI 3100 - Statistical Sampling (crosslisted)
STSCI 3510 - Introduction to Engineering Stochastic Processes I (crosslisted)
STSCI 4030 - Linear Models with Matrices (crosslisted)
STSCI 4100 - Multivariate Analysis (crosslisted)
STSCI 4110 - Categorical Data (crosslisted)
STSCI 4140 - Applied Design (crosslisted)
STSCI 4740 - Data Mining and Machine Learning
STSCI 4980 - Tutorial in Actuarial Statistics
STSCI 6520 - Computationally Intensive Statistical Methods (crosslisted)
CS 4780 - Machine Learning
ECON 3140 (formerly 3200) - Econometrics
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 two (2) of the following courses to ensure foundational mathematical, computational, and/or statistical ability:

MATH 1110 - Calculus I
MATH 1120 - Calculus II
STSCI 2200 - Biological Statistics I (crosslisted) or
BTRY 3010 - Biological Statistics I (crosslisted)