Minor in Data Science

Data Science students (from left) Meghan Foster, Danielle Cuddington and Abdulrahim Sheikhnureldin. (Photo: Logan Werlinger)

The 21-credit Minor in Data Science covers important concepts including R and Python programming languages, generation and presentation of data, data security and frontier research topics in real-world systems.

The minor is especially useful for students interested in combining data science with another field. Courses include Data Science for All: Ethical Life in a Digital World, Data Visualization for Data Science and more. Prerequisites in programming, calculus and statistics are required.

Course Requirements

The following requirements must be fulfilled: 21 credits, including 9 credits in prerequisite courses and 12 credits in required courses.
Prerequisite courses
CSCI 1012Introduction to Programming with Python
MATH 1231Single-Variable Calculus I
or MATH 1221 Calculus with Precalculus II
STAT 1051Introduction to Business and Economic Statistics
or STAT 1053 Introduction to Statistics in Social Science
or STAT 1111 Business and Economic Statistics I
or STAT 1127 Statistics for the Biological Sciences
Required courses for the minor
DATS 1001Data Science for All
DATS 2101Ethical Life in a Digital World
DATS 2102Data Visualization for Data Science
One course selected from the following:
DATS 2103Data Mining for Data Science
DATS 2104Data Warehousing for Data Science