Statistics (Minor)

Minor in Statistics

With the abundance of the utilization of data in nearly every field of study, the ability to understand, describe, visualize, and analyze data has become an essential skill in today’s workplace. The Minor in Statistics focuses on the principles of gathering information from data in the presence of uncertainty. The required prerequisite to start the sequence of courses is the completion of Area A.

Cornerstone Course

MATH 3440

Data Exploration and Visualization

3 credits

Probability Course

Choose one of the following:

MATH 3500	Applied Probability	3 credits
MATH 3600	Probability and Statistics	3 credits

Statistics Sequence

Take both:

MATH 4611	Applied Statistics I	3 credits
MATH 4612	Applied Statistics II	3 credits

Electives

Choose one:

MATH 3251	Applied Combinatorics	3 credits
MATH 3450	Applied Statistics for Big Data Analysis	3 credits
MATH 3610	Biological Statistics	3 credits
MATH 4300	Regression Analysis	3 credits
MATH 4600	Probability and Statistics II	3 credits
MATH 4630	Topics in Applied Statistics	3 credits
MATH 4700	Introduction to Experimental Design	3 credits
ITEC 3100	Python Scripting	3
ITEC 3245	Database Principles	3 credits
ITEC 3351	Analytics and Organizational Intelligence	3 credits
ITEC 3355	Data Mining	3
ITEC 4244	Database Programming	3 credits
ITEC 4264	Data Structures and Algorithm Analysis	3 credits
MGMT 3101	Business Statistics	3 credits
PSYC 3001	Statistics for the Behavioral Sciences	3 credits
ECON 4110	Applied Data Analysis	3 hours

Total Hours: 15