Statistics Minor

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Statistics is widely used in science, industry and government. Statistical methods are used to collect, analyze, and interpret data in natural and social sciences, business, and engineering. The courses in the Statistics Minor focus on applied topics that are useful for students in a variety of disciplines.

A grade of “C-” or better is required for each course in this program to count toward the Statistics Minor. Calculus I (MTH 1410 ) is not listed in the requirements for the Statistics Minor, but this course is a prerequisite for required courses in the minor. A Statistics Minor cannot be combined with a Mathematics Major or Statistical Science Major.

Prerequisites

MTH 1410 - Calculus I Credits: 4

Required Courses

MTH 2140 - Computational Matrix Algebra Credits: 2 *
MTH 3210 - Probability and Statistics Credits: 4
MTH 3220 - Statistical Methods Credits: 4
MTH 4230 - Regression and Computational Statistics Credits: 4
Subtotal: 14-16 credits

Elective

One elective course must be chosen from among:

MTH 2520 - R Programming Credits: 4
MTH 2540 - Scientific Computing with Python Credits: 4
MTH 3230 - Stochastic Processes Credits: 4
MTH 3510 - SAS Programming Credits: 4
MTH 4210 - Probability Theory Credits: 4
CS 1050 - Computer Science 1 Credits: 4
Subtotal: 4 credits
Total for Statistics Minor: 18-20 credits
* MTH 2140 may be replaced with MTH 3140 or MTH 3130 (4 credits).