Apr 03, 2026

2026-2027 Undergraduate Catalog

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2026-2027 Undergraduate Catalog

Data Science Minor

The intercollegiate Data Science minor consists of six courses and 18 hours. Two core courses give students a broad background in the foundations of Data Science. Three elective courses allow students to apply Data Science techniques to a specific field, to deepen their understanding of Data Science methodologies, or to gain further background in the ethical and policy considerations of Data Science. In the sixth course, students pursue an interdisciplinary, team-based capstone experience.

Campus: Knoxville, Distance Education

For additional information regarding distance education programs, including Admissions Requirements, visit https://volsonline.utk.edu/

Not every course is offered each term or available in all modalities. Students should review their degree audit regularly and work closely with their academic advisor to plan their courses and ensure timely progress toward degree completion based on course availability in their declared modality.

Credit Hours Required

The Data Science minor consists of 18 credit hours of coursework.

Required Courses (6 credit hours)

Complete both courses:

DATA 101* - Data Knowledge and Discovery 3 Credit Hours
DATA 202* - Data Management and Visualization 3 Credit Hours

Elective Courses (9 credit hours)

Select any three courses from the following:

General Data Science

DATA 102* - Data Stewardship and Ethics 3 Credit Hours
DATA 203* - Analytical Methods of Data Science 3 Credit Hours
DATA 303 - Advanced Data Analysis 3 Credit Hours
DATA 304 - Data Wrangling 3 Credit Hours
DATA 401 - Visual Analytics 3 Credit Hours

Mathematical and Statistical Foundations of Data Science

BAS 320 - Regression Modeling 3 Credit Hours ¹
BAS 471 - Statistical Methods 3 Credit Hours ¹
BAS 474 - Data Mining and Business Analytics 3 Credit Hours ¹
ESM 250* - Applied Statistical Concepts for Decision Makers 3 Credit Hours
MATH 323 - Probability and Statistics 3 Credit Hours ¹
MATH 371 - Numerical Algorithms 3 Credit Hours ¹
MATH 423 - Probability 3 Credit Hours ¹
MATH 424 - Stochastic Processes 3 Credit Hours ¹
MATH 425 - Statistics 3 Credit Hours ¹

Methods of Data Science

BAS 475 - Applied Time Series and Forecasting 3 Credit Hours ¹
COSC 325 - Introduction to Machine Learning 3 Credit Hours ¹
COSC 362 - Introduction to Computer Networks 3 Credit Hours ¹
COSC 445 - Fundamentals of Digital Archeology 3 Credit Hours
COSC 465 - Databases and Scripting Languages 3 Credit Hours ¹
IE 301 - Operations Research I: Deterministic Models 3 Credit Hours ¹
IE 310 - Operations Research II: Probabilistic Models 3 Credit Hours ¹
IE 340 - Design of Experiments 3 Credit Hours ¹
IE 465 - Applied Data Science 3 Credit Hours ¹

Data Management and Visualization

BAS 476 - Data Engineering and Visualization 3 Credit Hours ¹
GEOG 311* - Geovisualization and Geographic Information Science 3 Credit Hours
GEOG 414 - Spatial Data Management 3 Credit Hours 1
INDS 321 - Digital Representation and Fabrication for Industrial Design 3 Credit Hours ¹
INSC 260 - Programming for Information Applications 3 Credit Hours
INSC 384 - Database Design 3 Credit Hours
INSC 484 - Database Applications 3 Credit Hours ¹
INSC 486 - Data Analytics 3 Credit Hours ¹
INSC 489 - Information Visualization 3 Credit Hours ¹

Ethics and Policy in Data Science

EEB 451* - Research Ethics 3 Credit Hours
GEOG 421 - Maps, Society, Power 3 Credit Hours
GEOG 425 - Human Dimension in GIScience 3 Credit Hours ¹
INSC 305 - Internet and Society 3 Credit Hours
PHIL 360* - Philosophy of Science 3 Credit Hours
PHIL 371* - Epistemology 3 Credit Hours

Data Science in Context

ACCT 481 - Accounting Analytics 3 Credit Hours ¹
ANTH 446* - Archaeological Statistics 3 Credit Hours
ANTH 449 - Computational Social Science 3 Credit Hours
BCMB 422* - Computational Biology and Bioinformatics 3 Credit Hours ¹
CLAS 446* - Archaeological Statistics 3 Credit Hours
ECON 381 - Introduction to Econometrics 3 Credit Hours ¹
ECON 481 - Elements of Economic Forecasting 3 Credit Hours ¹
EEB 411* - Biostatistics 3 Credit Hours ¹
SNR 313 - Measurements and Sampling 3 Credit Hours ¹
SNR 430 - Introduction to Geographic Information Systems (GIS) for Natural Resources 3 Credit Hours ¹
MGT 462 - Managerial Analytics 3 Credit Hours ¹
MGT 465 - Workforce Analytics 3 Credit Hours ¹
PLSC 461 - Statistics for Biological Research 3 Credit Hours ¹
PSYC 385* - Statistics in Psychology 3 Credit Hours

Capstone Course (3 credit hours)

Complete:

CECS 399 - CECS Transdisciplinary Capstone 3 Credit Hours

Footnotes

¹Course has its own set of prerequisites. Please consult the catalog for more information.

* Meets Volunteer Core Requirement.