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Academic Catalog

Data Science

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2025-2026 Edition

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The minor in Data Science teaches principles and builds skills in the science of how and why we use data. It is an attractive option that can enhance the credentials for students in a wide variety of domains. Decision making across all levels is increasingly shifting away from subjective human judgment and expert opinion and is being replaced by superior evidence-based approaches driven by data and analytical models. Data Science is the discipline concerned with gathering and manipulating large volumes of data, developing statistical models to gain critical insights from it, understanding the behavior of complex systems through simulation, and making non-trivial decisions optimally, often in response to quickly changing conditions. The minor in Data Science is designed to provide students with the fundamental coursework to succeed in this area.

Minor Requirements

Course List
Code Title Credits
DATA 101Introduction to Data Science3
DATA 219Foundations for Data Science3
Take one course from the following list of five courses:3
STAT 280
Statistical Methods
DSCI 352
Analytics I: Predictive Models
ECON 361A
Introductory Econometrics
PSYC 360A
Advanced Statistics for Psychology
SOCG 364
Quantitative Research Methods and Analysis
Any two DATA courses numbered 300 or higher 16
Take one of the following:3
Any additional DATA course numbered 300 or higher
ECON 462
Advanced Economic Analysis
Total Credits18
1

STAT 320 Applied Regression Analysis may be substituted for one of the 300-level DATA courses in order to meet this requirement.

Data Science Progam

Prashant Chandrasekar, Program Coordinator

Affiliated Faculty

Stephen Davies, Computer Science
Christopher J. Garcia, Business
Debra L. Hydorn, Mathematics
Jessica Zeitz, Computer Science

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