Statistics Minor

An understanding of statistics is increasingly important in all industries as data can be mined for trends, predictive analysis, and needs of consumers. This minor not only offers the mathematical background needed, but also computer programming courses that will teach students to use industry software to manipulate and interpret big data. Coursework includes Probability and Statistics, Data Visualization and Data Techniques, Multivariate and Big Data Analysis, and Data Science with Python.

Degree Requirements

The Statistics Minor Requirement is a minimum of 20 credit hours as follows:

One of the following introductory statistics courses, with MATH 121 recommended.

BIS 221	Statistics for Business Analytics	3 cr.
IE 212	Probability and Statistics	3 cr.
MATH 120	Intro Statistics for the Arts & Sciences	3 cr.
MATH 121	Introductory Probability and Statistics	3 cr.
PSY 207	Statistics for the Behavioral Sciences	3 cr.
Total Credit Hours:		3

The Following Four Courses:

MATH 221	Introductory Probability & Statistics II	3 cr.
MATH 306	Linear Algebra	3 cr.
MATH 331	Computation in Statistics	3 cr.
MATH 441	Data Visualization & Data Techniques	3 cr.
Total Credit Hours:		12

MATH 306 has a prerequisite of either MATH 124 or MATH 134 or MATH 251.

One of the Following Courses:

BIS 450	Multivariate & Big Data Analysis	3 cr.
EC 386	Econometrics	3 cr.
IE 429	Design and Analysis of Experiments	3 cr.
MATH 372	Probability	3 cr.
MATH 384	Applied Regression & Time Series	3 cr.
Total Credit Hours:		3

One of the Following Computer Programming Courses:

CS 102/IT 102	Introduction to Programming	4 cr.
CS 171	Programming for Mathematics	4 cr.
BIS 315	Data Science with Python	3 cr.
ENGR 105/HONE 105	Computer Programming for Engineers	2 cr.
Total Credit Hours:		2-4

STAT - Statistics Minor

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