Program Overview

Statistical Modeling

Statistics is the science of analyzing data, with these analyses often being based on models that are used to answer questions or reveal underlying relationships. Statistical modeling is applied across many disciplines to model human behavior and natural phenomena and to aid in decision making in the face of uncertainty. The Statistical Modeling Concentration has three tiers—introductory coursework, core intermediate courses, and advanced coursework—and requires that the student be exposed to multiple perspectives on the use of statistical reasoning.

Program Facts

Program Type: Minor
- Bachelor of Arts (BA)

Chair

Jeffrey (Jeff) Witmer,
Professor of Statistics

Quick Links

Request Info

Visit Campus

Apply

Curriculum Overview

The Statistical Modeling Concentration begins with general, introductory statistics courses. It then requires at least two core, intermediate courses, in which students learn the explicit use of statistical models from multiple perspectives. Finally, the concentration requires at least one advanced course.

The remaining courses may either be additional statistics courses or a course that covers foundational concepts for some kinds of modeling, such as computer programming and probability theory, or a course that makes use of computer simulations to model real-world phenomena to reveal relationships, even if these models are not fit and evaluated using explicitly statistical methods.

Use It or Lose It: Railey Stern Yen Uses Fulbright to Reconnect with Taiwan

May 25, 2023

A May 2023 graduate of the double degree program, Stern Yen will apply his experiences in teaching and working with youth.

Main Menu

Resources For

Statistical Modeling

Program Facts

Chair

Quick Links

Curriculum Overview

Sample Courses