Data Analytics Minor
Data analytics is the science of collecting, cleaning, and analyzing raw data to identify patterns, draw conclusions, gain insights, and support effective decision-making. The field of data analytics is built on a foundation of certain areas of mathematics, computer science, statistics, and accepted practice within an application area. The goal of this minor is to enhance various majors with the essential foundational material, key ideas, commonly used tools, and experience in the practice of data analytics.
Students seeking a minor in Data Analytics are required to take the following courses:
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| STA-173 | Statistical Methods | 3 |
| or STA-342 | Statistical Theory II | |
| CSC-103 | Computer Programming I | 3 |
| CSC-104 | Computer Programming II | 3 |
| DSA-201 | Introduction to Data Science and Analytics | 3 |
| DSA-202 | Data Analysis and Visualization | 3 |
| Approved Data Analytics Electives | ||
| Select one of the following approved elective courses or another course approved by the department chair: | 3 | |
| Accounting Research & Analytics | ||
| Algorithms and Data Structures | ||
| Introduction to Econometrics | ||
| Total Credits | 18 | |