Data Science (Minor)

Data Science (Minor)

Data Science students working

Focusing on the theoretical, mathematical and computational foundations of modern data science, our Data Science minor prepares you with the understanding of how to interpret and manipulate data.

The field of analytics and data science impacts nearly all aspects of the economy, society and daily life. This highly interdisciplinary minor emphasizes mathematics and computer science skills—skills that are in high-demand in industries from finance to healthcare to marketing and more.

The objective of this minor is to provide a basic background in data science for those who are more interested in the theoretical underpinnings of analytics and data science.


Curriculum & Requirements

Students must complete five courses (20 credits) with a cumulative minimum grade point average of 2.0 and with no grade below a C- grade. Transfer course approval for the minor is limited to at most, two relevant courses successfully completed at another accredited institution, subject to syllabi review and approval. Some preparation in MATH 425 Calculus I and programming (COMP 425 Introduction to Programming , CS 414 From Problems to Algorithms to Programs or CS 415 Introduction to Computer Science I is required.


CS 515Data Structures and Introduction to Algorithms4
Select one of the following:4
COMP 525
Data Structures Fundamentals
CS 416
Introduction to Computer Science II
CS 417
From Programs to Computer Science
Select three of the following: 112
CS 730
Introduction to Artificial Intelligence
CS 750
Machine Learning
CS 753
Information Retrieval
CS 775
Database Systems
MATH 645
Linear Algebra for Applications
MATH 736
Advanced Statistical Methods for Research
MATH 738
Data Mining and Predictive Analytics
MATH 739
Applied Regression Analysis
DATA 750
Neural Networks
DATA 757
Big Data
Total Credits20

For more information, contact Jeremiah Johnson, program coordinator and minor supervisor, at