2019-2020
Data Analysis

Data Analysis

The minor in Data Analysis introduces students to data analysis, which is an activity at the intersection of statistics, computing, and a particular domain of application. The emphasis of the minor is on the statistical methods that support data analysis. It may be of particular interest to students of business, finance, economics, and any of the natural or social sciences.

Program Contact

Professor Homer White

Program Options

Students majoring in Mathematics may not minor in Data Analysis.

Core Courses

(18 hours required)

MAT111: Elementary Probability and Statistics (3 credit hours)
MAT125: Calculus I (3 credit hours)
MAT225: Calculus II (3 credit hours)
MAT331: Probability Theory (3 credit hours)
MAT332: Mathematical Statistics (3 credit hours)
CSC303: Fundamentals of Data Computing (3 credit hours)

Elective Courses

(3 hours required)

An applications course (at least three semester hours). This is a course numbered 300 or higher, in any discipline, in which the student either learns substantially new tools or methods--beyond those covered in other courses taken to satisfy minor requirements--for data analysis, or completes a substantial data analysis project. Since course content varies over time, the student’s choice of course must be approved by the Data Analysis Coordinator.