The ability to work with numbers and data is critical to the modern workforce. Every area of business, science, entertainment and, increasingly, the non-profit sector, is becoming more data-driven. The Data Analytics major prepares graduates to add value to any organization through quantitative decision-making from both structured and unstructured data. As more industries embrace big data and analytics, skills in areas such as data science, statistics, programming, modeling and data mining are becoming more important. Through a combination of mathematics, statistics and computing courses--including intensive, hands-on work with R, Python and SQL--our Data Analytics graduates will not only understand key concepts and techniques, but will also know how to apply them and communicate results to the modern business world.
In addition to the specific major requirements described below, students must also complete all designated requirements in Foundations for Success, Context & Perspectives in the Arts & Sciences, Business Dynamics, Communication Intensive coursework, and the additional degree requirements for Arts & Sciences majors. Details can be found in the Degree Requirements section of the catalogue, including the Overview and the Arts & Sciences Majors tabs.
Prerequisite Course
| Course | Title | Credits |
|---|---|---|
| MA 131 | Calculus I | 3 |
| or MA 131L | Calculus I with Lab | |
Program Requirements
| Course | Title | Credits |
|---|---|---|
| Required Courses | ||
| MA 214 | Intermediate Applied Statistics | 3 |
| MA 252 | Regression Analysis | 3 |
| MA 255 | Design of Experiments | 3 |
| CS 230 | Introduction to Programming with Python | 3 |
| CS 350 | Database Management Systems | 3 |
| MA 346 | Data Science | 3 |
| MA 347 | Data Mining | 3 |
| MA 380 | Introduction to Generalized Linear Models and Survival Analysis in Business | 3 |
| Total Credits | 24 | |