Offered by the Mathematics and Computer Science department.

Statisticians work with information collected by scientists and decision-makers in the hope of making sense of complicated questions.  Statistics helps scientists and decision-makers of all kinds learn from experience and make decisions in the presence of uncertainty. Good statistical practice requires familiarity with probabilistic ideas and includes the ability to design experiments or surveys; to summarize and analyze observational data; to build mathematical models with probabilistic components; and to draw conclusions while quantifying the uncertainty associated with those conclusions.

For more information, contact Michael Kahn, coordinator.

Minor requirements

Statistics minor worksheet

The minor consists of a minimum of five courses, only one of which may be counted both for the minor and for the student’s major.

Required courses

MATH 141 Introductory Statistics
or MATH 151 Accelerated Statistics
or PSY 141 Statistics for Social Sciences
or SOC 141 Statistics for Social Sciences
and MATH 251 Methods of Data Analysis

Discipline-specific advanced course

At least one 300-level course that incorporates statistical methods in a discipline-specific context. One course chosen from:
ECON 330 Applied Econometrics
MATH 342 Mathematical Statistics
PSY 340 Laboratory in Social Psychology
PSY 343 Laboratory in Cognitive Psychology
PSY 345 Laboratory in Child Development
PSY 348 Laboratory in Animal Communication and Cognition

SOC 302 Research Methods in Sociology

Mathematical foundation

One course chosen from:
COMP 115 Robots, Games and Problem Solving
MATH 101 Calculus I
MATH 221 Linear Algebra
MATH 241 Theory of Probability


One additional course chosen from either of the two lists above, or an independent study (399) with approval of the coordinator.

Michael Kahn

Professor of Mathematics