Statistics is the science of collecting and analyzing data for the purpose of making decisions in the presence of uncertainty.  Multidisciplinary application areas vary widely and include health and medicine, business, engineering, physical sciences, environmental studies, and government. The statistics minor provides training in theoretical, applied and computational statistics with a two-semester sequence in statistical methods and a broad selection of upper-level elective classes. Depending on the electives selected, a student completing this program will be prepared to conduct statistical analysis in their professional work or to continue graduate study in fields involving statistical analysis.  

For additional information, see the Department of Statistics website.

Course List

Code	Title	Semester Credit Hours
Lower Division Courses
STAT 211	Principles of Statistics I	3
STAT 212	Principles of Statistics II	3
Directed Upper Division Electives
Select three of the following: 1		9
STAT 315	Computational Data Science
STAT 335/CSCE 320	Principles of Data Science
STAT 404	Statistical Computing
STAT 406	Design and Analysis of Experiments
STAT 407	Principles of Sample Surveys
STAT 408	Introduction to Linear Models
STAT 414	Mathematical Statistics I
STAT 415	Mathematical Statistics II
STAT 421	Machine Learning
STAT 424/MATH 424	Probability and Computing
STAT 426	Methods in Time Series Analysis
STAT 436	Multivariate Analysis and Statistical Learning
STAT 438	Bayesian Statistics
STAT 445	Applied Biostatistics and Data Analysis
STAT 446	Statistical Bioinformatics
STAT 459	Categorical Data Analysis
STAT 485	Directed Studies
STAT 489	Special Topics in…
Total Semester Credit Hours		15

¹

STAT 485 or STAT 489 must be approved by the Statistics Department.

Additional Requirements:

Students must make a grade of C or better in all courses.

Substitutions for the minor must be approved by the Statistics Department.