The requirements on this page are effective for all declarations through July 31, 2024.
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.
Introduction to data analysis and computing
- STAT 1601: Introduction to Data Science with R OR
- STAT 1602: Introduction to Data Science with Python OR
- Introductory Statistics (one of STAT 1100, STAT 1120, STAT 2020, STAT 2120, APMA 3110, APMA 3120) AND
- Introductory Programming (one of CS 1110, CS 1111, CS 1112, CS 1113)
Core Courses: Minor in Data Analytics
Introduction to data analysis and computing
- STAT 1601: Introduction to Data Science with R OR
- STAT 1602: Introduction to Data Science with Python OR
- Introductory Statistics (one of STAT 1100, STAT 1120, STAT 2020, STAT 2120, APMA 3110, APMA 3120) AND
- Introductory Programming (one of CS 1110, CS 1111, CS 1112, CS 1113)
Statistical linear models
- STAT 3220: Introduction to Regression Analysis OR
- ECON 3720: Introduction to Econometrics
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
- ASTR 4140: Research Methods in Astrophysics
- ECON 4720: Econometric Methods
The information contained on this page is for informational purposes only. The Undergraduate Record contains the official academic program requirements.