Statistics Major

Our undergraduate statistics program is growing rapidly and is one of the largest in the country, with almost 300 students pursuing either our “regular” Statistics major or a version of that major with a concentration in Data Science. Home to one of the largest groups of statistics faculty in the nation, our department offers our students academic and research opportunities in a wide variety of areas. Biostatistics, data science, business analytics, environmental statistics, statistical genetics, sports analytics, and theoretical statistics are just a few of the subject areas in which our faculty excel.

About one-third of our students move on to pursue advanced degrees in statistics or related fields following graduation, while others enter the workforce prepared for lucrative careers in a variety of fields.

Objectives

Upon Completion of our program, students will be able to

Explain the theoretical basis of commonly used statistical methods.
Design sample surveys and experiments for standard situations.
Correctly analyze and interpret the results from designed experiments, sample surveys and observational studies.
Demonstrate computer programming ability to manage data, implement standard statistical methods and learn new programming languages in the future.
Explain statistical ideas, methods and results to nonstatistical audiences.

Requirements

“Regular” Statistics Major

View the current degree requirements and an 8-semester example plan for completing it. In addition to meeting the university’s General Education Program requirements, all statistics majors must take:

Foundational Courses in Mathematics (15 credits)

Three semesters of calculus: MA 141, MA 241, MA 242
Linear algebra and matrices: MA 305 or MA 405

Computer Programming and Statistical Computing (12 credits)

Introductory R Programming and Github: ST 115
Statistical Programming and Data Management with SAS: ST 215
R and Python Programming: ST 216
Computational Statistics Elective

Statistical Theory and Methods (35 credits)

Statistical Methods: ST 120, ST 220, ST 240, ST 323, ST 431 or 432
Statistical Theory: ST 121, ST 321, ST 322
Advanced Statistical Electives: 9 credits of approved ST courses

Advised Electives (9 credits)

Each student will work with their advisor to formulate an individualized 12-credit plan to enhance the student’s educational goals. These credits will often be applied to an undergraduate minor or second major.

Communication and Advanced Writing (10 credits)

Communication: COM 110, COM 112 or COM 211
Writing: ENG 101 and one of ENG 331, ENG 332, ENG 333

Natural Sciences (11 credits)

Electives must include (i) two or more laboratory courses and (ii) three or more 3-credit or 4-credit courses

General Education Program Courses (22 credits)

Free Electives (6 credits)