Statistical Modeling Minor

The minor consists of a minimum of 5 full courses (or the equivalent).

Note: Students must earn minimum grades of C- or P for all courses that apply toward the minor.

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 minor has three tiers–introductory coursework, intermediate coursework, and advanced coursework–and requires that the student be exposed to multiple perspectives on the use of statistical reasoning.

Visit the minor’s web page for more information.

Summary of Requirements

Two Full Intermediate Statistics Courses
One Full Advanced Statistics Course
Two Full Statistical Modeling Minor Elective Courses

Note(s) on Requirements

Courses must be taken from at least two different departments.
Students who elect SOCI 301 as one of their elective courses must take 2.5 full elective courses, to account for its 2-credit co-requisite SOCI 302 .
If a student wishes to count a course that is not listed below toward the minor, they can petition the curricular committee for approval to apply the completed or in-progress course toward their minor.
In planning their schedules, students should be aware that some of the courses listed below have prerequisites.

Declaring the Minor

Students wishing to complete the statistical modeling minor should consult with a member of the curricular committee and complete the interdivisional or Arts and Sciences minor declaration/change form. The form requires the signature of the committee chair.

Chair
Jeffrey A. Witmer, Professor of Statistics

See the full list of Statistical Modeling Curricular Committee members.

Detailed Minor Requirements