Minor in Data Analytics

These requirements are effective for all declarations beginning on August 1, 2024.

Requirements for declarations through July 31, 2024 can be found on this page.

Minors require an application to declare. Details regarding the application are available on the minor application information page.

This minor is for students who are interested in learning from data but may have little or no data analysis background. It requires no prior experience with statistics, computing, or data analysis. Students completing this minor will gain significant experience with working with data to prepare for analysis, drawing conclusions from data, and communicating conclusions.

Program Requirements: Minor in Data Analytics

The minor in Data Analytics requires four core courses and one restricted elective course. In total the minor in Data Analytics requires 15 credit hours. A grade of C- or higher is required for all minor courses.

Prerequisites to Declare the Minor in Data Analytics

Students must have completed all prerequisite courses to declare the minor. Students may use AP credit to meet prerequisite requirements.

Introductory statistics

STAT 1100: Chance: An Introduction to Statistics OR
STAT 1120: Introduction to Statistics OR
STAT 2020: Statistics for Biologists OR
STAT 2120: Introduction to Statistical Analysis OR
APMA 3110: Applied Statistics and Probability OR
APMA 3120: Statistics

Introductory programming

STAT 1601: Introduction to Data Science with R OR
STAT 1602: Introduction to Data Science with Python OR
CS 1110: Introduction to Programming OR
CS 1111: Introduction to Programming OR
CS 1112: Introduction to Programming OR
CS 1113: Introduction to Programming

Core Courses: Minor in Data Analytics

Introductory statistics

STAT 1100: Chance: An Introduction to Statistics OR
STAT 1120: Introduction to Statistics OR
STAT 2020: Statistics for Biologists OR
STAT 2120: Introduction to Statistical Analysis OR
APMA 3110: Applied Statistics and Probability OR
APMA 3120: Statistics

Statistical linear models

STAT 3220: Introduction to Regression Analysis

Data visualization and management

STAT 3280: Data Visualization and Management

Data analytics

STAT 4220: Applied Analytics for Business OR
STAT 4630: Statistical Machine Learning

Restricted Electives: Minor in Data Analytics

Students must take one restricted elective.

Note: Students cannot use the same course as both a core course and a restricted elective; a course can be used to satisfy only one requirement of the Minor in Data Analytics.

STAT 3080: From Data to Knowledge
STAT 3120: Mathematical Statistics
STAT 3130: Sample Surveys
STAT 3250: Data Analysis with Python
STAT 3480: Nonparametric and Rank-Based Statistics
STAT 4120: Applied Linear Models
STAT 4130: Multivariate Statistics
STAT 4160: Experimental Design
STAT 4170: Financial Times Series and Forecasting
STAT 4220: Applied Analytics for Business
STAT 4630: Statistical Machine Learning
STAT 4800: Advanced Sports Analytics I

The information contained on this page is for informational purposes only. The Undergraduate Record contains the official academic program requirements.