Program: Data Science Minor - University of Tennessee, Knoxville - Modern Campus Catalog™

Mar 28, 2025

2024-2025 Undergraduate Catalog

The intercollegiate Data Science minor, which has one prerequisite course, consists of six courses and 17-18 hours. Four core courses give students a broad background in the foundations of Data Science. The fifth course is a directed elective that allows a student 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.

1. Complete four core courses:

DATA 101 - Data Knowledge and Discovery 3 Credit Hours *
DATA 102 - Data Stewardship and Ethics 3 Credit Hours
DATA 202 - Data Management and Visualization 3 Credit Hours
DATA 203 - Analytical Methods of Data Science 3 Credit Hours *
Note: Students must obtain additional programming background before taking DATA 202 . Suggested courses include COSC 111 ; INSC 260 ; BAS 320 ; MATH 171 ; GEOG 312 ; IARC 321 .

2. Complete one course chosen from any of the five lists below:

Mathematical and Statistical Foundations of Data Science:

BAS 320 - Regression Modeling 3 Credit Hours
BAS 471 - Statistical Methods 3 Credit Hours
MATH 323 - Probability and Statistics 3 Credit Hours
MATH 371 - Numerical Algorithms 3 Credit Hours
MATH 423 - Probability 3 Credit Hours
MATH 424 - Stochastic Processes 3 Credit Hours
MATH 425 - Statistics 3 Credit Hours

Methods of Data Science:

BAS 474 - Data Mining and Business Analytics 3 Credit Hours
COSC 325 - Introduction to Machine Learning 3 Credit Hours
COSC 362 - Introduction to Computer Networks 3 Credit Hours
IE 301 - Operations Research I: Deterministic Models 3 Credit Hours
IE 310 - Operations Research II: Probabilistic Models 3 Credit Hours
IE 340 - Design of Experiments 3 Credit Hours
INSC 486 - Data Analytics 3 Credit Hours

Data Management and Visualization:

ARCH 321 - Representation IV: Information Modeling 2 Credit Hours
BAS 476 - Data Engineering and Visualization 3 Credit Hours
COSC 465 - Databases and Scripting Languages 3 Credit Hours
GEOG 311 - Geovisualization and Geographic Information Science 3 Credit Hours
IARC 321 - Advanced Representation 2 Credit Hours
INDS 321 - Digital Representation and Fabrication for Industrial Design 3 Credit Hours
INSC 384 - Database Design 3 Credit Hours
INSC 484 - Database Applications 3 Credit Hours
INSC 489 - Information Visualization 3 Credit Hours

Ethics and Policy in Data Science:

INSC 305 - Internet and Society 3 Credit Hours

Data Science in Context:

ACCT 481 - Accounting Analytics 3 Credit Hours
ANTH 446 - Archaeological Statistics 3 Credit Hours *
ANTH 449 - Computational Social Science 3 Credit Hours
BAS 475 - Applied Time Series and Forecasting 3 Credit Hours
BCMB 422 - Computational Biology and Bioinformatics 3 Credit Hours *
CLAS 446 - Archaeological Statistics 3 Credit Hours *
COSC 445 - Fundamentals of Digital Archeology 3 Credit Hours
EEB 411 - Biostatistics 3 Credit Hours *
ECON 381 - Introduction to Econometrics 3 Credit Hours
ECON 481 - Elements of Economic Forecasting 3 Credit Hours
FWF 313 - Measurements and Sampling 3 Credit Hours
FWF 430 - Introduction to Geographic Information Systems (GIS) for Natural Resources 3 Credit Hours
GEOG 414 - Spatial Data Management 3 Credit Hours
IE 465 - Applied Data Science 3 Credit Hours
MGT 462 - Managerial Analytics 3 Credit Hours
MGT 465 - Workforce Analytics 3 Credit Hours
PLSC 461 - Statistics for Biological Research 3 Credit Hours
PSYC 385 - Statistics in Psychology 3 Credit Hours *

3. Complete one course:

DATA 499 - Data Science Capstone 3 Credit Hours
* Meets Volunteer Core Requirements .