Students with a minor in Statistics will receive training in statistical methods, tailored to the aspect of statistics that they choose to emphasize. The minor has 12 credits of electives, giving lots of flexibility in course choices. Statistical skills are in demand across a wide range of disciplines. A minor in statistics is a valuable complement to many majors in the physical, biological, Earth, social and human sciences. Statistical skills are also in high demand in most private industries and government organizations.

If you are interested a minor in Statistics, please see our advising page or contact our department at

Effective Fall 2023

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.

STAT 158Introduction to R Programming1
STAT 341Statistical Data Analysis I3
STAT 342Statistical Data Analysis II3
Select one course from the following:3
Introduction to Applied Statistical Methods
Introduction to Biostatistics
Intro to Theory and Practice of Statistics
STAT/DSCI or Outside Electives (select at least 6 credits from STAT/DSCI list – see lists below)12
Program Total Credits:22

Statistics Electives 

DSCI 335Inferential Reasoning in Data Analysis3
DSCI 336Data Graphics and Visualization1
DSCI 445Statistical Machine Learning3
STAT 305Sampling Techniques3
STAT 331Intermediate Applied Statistical Methods3
STAT 400Statistical Computing3
STAT 420Probability and Mathematical Statistics I3
STAT 421Introduction to Stochastic Processes3
STAT 430Probability and Mathematical Statistics II3
STAT 440Bayesian Data Analysis3
STAT 460Applied Multivariate Analysis3
STAT 472Statistical Research--Design, Data, Methods3

Outside Electives

BIOM 422Quantitative Systems and Synthetic Biology3
BIOM 431/ECE 431Biomedical Signal and Image Processing3
BZ 350Molecular and General Genetics4
BZ 360Bioinformatics and Genomics4
CIS 370Business Analytics3
CS 220Discrete Structures and their Applications4
CS 320Algorithms--Theory and Practice3
CS 420Introduction to Analysis of Algorithms4
CS 445Introduction to Machine Learning4
DSCI 235Data Wrangling2
DSCI 320Optimization Methods in Data Science3
DSCI 369Linear Algebra for Data Science4
DSCI 473Introduction to Geometric Data Analysis2
DSCI 475Topological Data Analysis2
ECE 303/STAT 303Introduction to Communications Principles3
ECE 311Linear System Analysis I3
ECE 312Linear System Analysis II3
ECON 335/AREC 335Introduction to Econometrics3
ECON 435Intermediate Econometrics3
ECON 436Economic Forecasting3
ERHS 332Principles of Epidemiology3
ERHS 430Human Disease and the Environment3
ESS 330Quantitative Reasoning for Ecosystem Science3
F 321Forest and Natural Resource Biometry3
F 422Quantitative Methods in Forest Management3
FW 370Design of Fish and Wildlife Projects3
FW 401Fishery Science3
FW 471Wildlife Data Collection and Analysis4
FW 475Conservation Decision Making3
HDFS 350Applied Research Methods3
MATH 229Matrices and Linear Equations2
MATH 331Introduction to Mathematical Modeling3
MATH 340Intro to Ordinary Differential Equations4
MATH 345Differential Equations4
MATH 369Linear Algebra I3
MATH 450Introduction to Numerical Analysis I3
MECH 231Engineering Experimentation3
MECH 417Control Systems3
MGT 475International Business Management3
MKT 450Marketing Analytics3
NR 422GIS Applications in Natural Resource Management4
PSY 317Social Psychology Laboratory2
PSY 350Research Design and Analysis II3
PSY 370Psychological Measurement and Testing3
PSY 371Psychological Measurement and Testing Lab1
SOC 314Applications of Quantitative Research3