Students with a minor in Statistics will get training in data analysis, probability, and quantitative reasoning, which will enhance any education in science, social science, medicine, finance, etc. 

Effective Fall 2018 

Students must satisfactorily complete the total credits required for the minor. Minors and interdisciplinary minors require 12 or more upper-division (300- to 400-level) credits.

Additional coursework may be required due to prerequisites.

A minimum grade of C must be achieved in all STAT courses required for the minor in statistics.

Students in the biological and social sciences who are interested in applications of statistical methods should take STAT 301 (or STAT 307 or STAT 311) and STAT 305. Students in the physical sciences who are interested in applications of statistical methods should take STAT 315 and STAT 460. Students interested in statistical theory should take STAT 420 and STAT 430.

GROUP A (Select one):3
Introduction to Statistical Methods
Introduction to Biostatistics
Statistics for Behavioral Sciences I
Statistics for Engineers and Scientists
GROUP B (Select one):2-3
Introduction to Statistical Computing in SAS
Statistical Computing
Probability and Mathematical Statistics I
Bayesian Data Analysis
GROUP C (Must take ALL courses)7
Introduction to R Programming
Statistical Data Analysis I
Statistical Data Analysis II
GROUP D (Select one): 3
Sampling Techniques
Probability and Mathematical Statistics II
Applied Multivariate Analysis
Electives - select at least 6 credits from the following not previously taken above:6
Linear System Analysis I
Linear System Analysis II
Introduction to Econometrics
Intermediate Econometrics
Forest Biometry
Quantitative Methods in Forest Management
Design of Fish and Wildlife Projects
Wildlife Data Collection and Analysis
Linear Algebra I
Projects in Applied Mathematics
Introduction to Numerical Analysis I
Introduction to Numerical Analysis II
Control Systems
Supply Chain Management
International Business Management
Natural Resources Sampling
GIS Applications in Natural Resource Management
Social Psychology Laboratory
Psychological Measurement and Testing
Psychological Measurement and Testing Lab
Sampling Techniques
Statistics for Behavioral Sciences II
Introduction to Statistical Computing in SAS
Statistical Computing
Probability and Mathematical Statistics I
Introduction to Stochastic Processes
Probability and Mathematical Statistics II
Bayesian Data Analysis
Applied Multivariate Analysis
Statistical Consulting Capstone
Program Total Credits:21-22