Data Science, Minor
Program Overview
The Minor in Data Science provides a rigorous study of the data analysis lifecycle with a foundation of computer programming and statistics. This minor is designed for students who want to supplement their major domain with the knowledge and skills needed to manage and analyze large data sets.
Learning Outcomes
- Students completing the program will have the ability to apply theory, techniques, and tools throughout the data analysis lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.
- Students completing the program will have the ability to apply principles of computing and statistics to identify solutions for data intensive applications.
Undergraduate Policies
For undergraduate policies and procedures, please review the Undergraduate Academics section of the General Bulletin.
Program Requirements
The Minor in Data Science consists of the following courses:
| Code | Title | Credit Hours |
|---|---|---|
| Required Courses: | ||
| CSDS 134 | Programming in Python | 3-4 |
| or CSDS 132 & CSDS 237 | Programming in Java and The Python Programming Language | |
| CSDS 133 | Introduction to Data Science | 3 |
| CSDS 234 | Structured and Unstructured Data | 3 |
| STAT 301 | Introduction to Probability for Statistics | 3 |
| or STAT 312 | Basic Statistics for Engineering and Science | |
| or MATH 380 | Introduction to Probability | |
| CSDS 312 | Introduction to Data Science Systems | 3 |
| or CSDS 313 | Introduction to Data Analysis | |
| Elective | 3-4 | |
| Choose one of the following: | ||
| Introduction to Data Structures | ||
| Discrete Mathematics | ||
| Introduction to Data Science Systems | ||
| Introduction to Data Analysis | ||
| Data Mining for Big Data | ||
| Introduction to Machine Learning | ||
| Introduction to Database Systems | ||
| Introduction to Linear Algebra for Applications | ||
| Linear Algebra | ||
| Data Analysis and Linear Regression Models | ||
| Multivariate Analysis and Data Mining | ||
| Mathematical Statistics | ||
| Total Credit Hours | 18-20 | |
Students interested in pursuing graduate work in data science are encouraged to take CSDS 233 and MATH 201 or MATH 307.