STAT - Statistics Minor
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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.
BAIM 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 & Statistics I | 3 cr. |
PSY 207 | Statistics for the Behavioral Sciences | 3 cr. |
Subtotal: 3 cr.
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. |
Subtotal: 12 cr.
MATH 306 has a prerequisite of either MATH 124 or MATH 134 or MATH 251.
One of the Following Courses:
BAIM 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. |
Subtotal: 3 cr.
One of the Following Computer Programming Courses:
CS 102/IT 102 | Introduction to Programming | 4 cr. |
CS 171 | Programming for Mathematics | 4 cr. |
BAIM 315 | Data Science with Python | 3 cr. |
ENGR 105/HONE 105 | Computer Programming for Engineers | 2 cr. |
Subtotal: 2-4 cr.
Total Credit Hours: 20-22