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.
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 | |