Minor in Data Science
The 21-credit Minor in Data Science covers important concepts including R and Python programming languages, generation and presentation of data, data security and frontier research topics in real-world systems.
The minor is especially useful for students interested in combining data science with another field. Courses include Data Science for All: Ethical Life in a Digital World, Data Visualization for Data Science and more. Prerequisites in programming, calculus and statistics are required.
Due to the high demand for the Data Science Minor, the Data Science Program will not be accepting new applications for the minor until further notice.
Course Requirements
Minor in Data ScienceThe following requirements must be fulfilled: 21 credits, including 9 credits in prerequisite courses and 12 credits in required courses.
| Code | Title | Credits |
|---|---|---|
| Prerequisite courses | ||
| CSCI 1012 | Introduction to Programming with Python | |
| MATH 1231 | Single-Variable Calculus I | |
| or MATH 1221 | Calculus with Precalculus II | |
| STAT 1051 | Introduction to Business and Economic Statistics | |
| or STAT 1053 | Introduction to Statistics in Social Science | |
| or STAT 1111 | Business and Economic Statistics I | |
| or STAT 1127 | Statistics for the Biological Sciences | |
| Required courses for the minor | ||
| DATS 1001 | Data Science for All | |
| DATS 2101 | Ethical Life in a Digital World | |
| DATS 2102 | Data Visualization for Data Science | |
| One course selected from the following: | ||
| DATS 2103 | Data Mining for Data Science | |
| DATS 2104 | Data Warehousing for Data Science | |