Students with a minor in Data Science will receive foundational training in modern data science to complement and enhance their major field of study.

Effective Fall 2020

Additional coursework may be required due to prerequisites.

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.

CS 163CS1---No Prior Programming Experience4
CS 165CS2--Data Structures4
DSCI 235Data Wrangling2
DSCI 320Optimization Methods in Data Science3
DSCI 335Inferential Reasoning in Data Analysis3
DSCI 369Linear Algebra for Data Science4
Data Science Minor Electives (select a minimum of 3 credits from the list below) 13-4
Program Total Credits:23-24

Data Science Minor Electives

CS 345Machine Learning Foundations and Practice3
CS 425Introduction to Bioinformatics Algorithms4
CS 435Introduction to Big Data4
CS 440Introduction to Artificial Intelligence4
DSCI 445Statistical Machine Learning3
DSCI 473Introduction to Geometric Data Analysis2
DSCI 475Topological Data Analysis2
STAT 341Statistical Data Analysis I3