The Department offers a minor in Data Analysis. The Coordinator of the minor is Homer White, Professor of Mathematics and Chair of the Department.
This minor 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. Note: Since the minor involves a significant number of mathematics courses, it is not available to students taking a major in Mathematics.
Minor requirements are as follows:
Applied Data Analysis (9+ hours). These courses provide an introduction to basic methods of data analysis and to computing tools for data analysis, as well as opportunities for the practical application of data analysis to a field of interest.
- MAT111 Elementary Probability and Statistics
- MAT303 Fundamentals of Data Computing
- 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.
Mathematics and Mathematical Statistics (12 hours). These courses provide background for a deep understanding and sophisticated use of the methods of data analysis.
- MAT 125 Calculus I
- MAT 225 Calculus II
- MAT 331 Probability Theory
- MAT 332 Mathematical Statistics