Students with a minor in Applied Data Science will receive essential training in computer science, mathematics and statistics in order to apply methods of modern data science within their major field of study.

Effective Fall 2020

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.

CS 152Python for STEM2
DSCI 335Inferential Reasoning in Data Analysis3
DSCI 369Linear Algebra for Data Science4
STAT 158Introduction to R Programming1
STAT 301Introduction to Applied Statistical Methods3
or STAT 307 Introduction to Biostatistics
or STAT 315 Intro to Theory and Practice of Statistics
STAT 341Statistical Data Analysis I3
Elective (select a minimum of 6 credits from the list below)6
Program Total Credits:22


AREC 335/ECON 335Introduction to Econometrics3
BZ 346Population and Evolutionary Genetics3
BZ 350Molecular and General Genetics4
BZ 425Conservation and Population Genomics3
BZ 466Biological Basis of Animal Behavior4
CS 345Machine Learning Foundations and Practice3
ERHS 332Principles of Epidemiology3
ERHS 430Human Disease and the Environment3
ESS 330Quantitative Reasoning for Ecosystem Science3
F 321Forest Biometry3
FW 370Design of Fish and Wildlife Projects3
FW 401Fishery Science3
FW 455Principles of Conservation Biology3
FW 469Conservation and Management of Large Mammals3
FW 475Conservation Decision Making3
GEOL 454Geomorphology4
HDFS 350Applied Research Methods3
MKT 410Marketing Research3
NR 421Natural Resources Sampling3
PSY 250Research Design and Analysis I3
PSY 350Research Design and Analysis II3
RS 432Rangeland Measurements and Monitoring2
SOWK 300Research in Applied Professions3
STAT 305Sampling Techniques3
STAT 342Statistical Data Analysis II3
WR 416Land Use Hydrology3