Minor in Data Science
About the Minor
Data science provides a foundation for problem-solving in a data-driven society. The minor in Data Science combines basic courses in statistics, information and technology, and social contexts to address problems that require large and disparate datasets.
Any student in any major can benefit from a minor in data science. Graduates with such background knowledge are prepared to actively participate in the application of data science within their major area of study.
The minor is available to all University students in good standing with the exception of students majoring in Data Science.
Program Requirements
CS 171 | Computer Programming I | 3.0 |
CS 172 | Computer Programming II | 3.0 |
INFO 103 | Introduction to Data Science | 3.0 |
INFO 212 | Data Science Programming I | 3.0 |
STAT 201 | Introduction to Business Statistics | 4.0 |
STAT 202 | Business Statistics II | 4.0 |
Select 2 of the following: | 6.0-7.0 | |
Data Structures | ||
Advanced Programming Tools and Techniques | ||
Mathematical Foundations of Computer Science | ||
Artificial Intelligence | ||
Machine Learning | ||
Database Systems | ||
or INFO 210 | Database Management Systems | |
Recommender Systems | ||
Applied Deep Learning | ||
Data Curation | ||
Data Science Programming II | ||
Information Visualization | ||
Cloud Computing and Big Data | ||
Exploratory Data Analytics | ||
Advanced Data Analytics | ||
Social Media Data Analysis | ||
Total Credits | 26.0-27.0 |
Additional Information
For more information about this program, please visit the College of Computing & Informatics website.