20172018 Academic Catalog
Analytics Minor


Return to: Programs of Study Director: Dr. William Gryc, Associate Professor of Mathematics
Analytics is the application of quantitative reasoning to realworld problems. A practitioner of analytics applies mathematical, statistical, and computational theory to solve practical problems that often involve large data sets. Problems that were infeasible in the past due to the size of the data are now feasible due to the increase in computing power. Thus, analytics is quickly changing how businesses, industries, and governments make decisions. A practitioner of analytics needs both a theoretical background in mathematics and statistics to approach problems, as well as computer science knowledge to implement solutions. The goal of this program is to give students a solid foundation in applied mathematics, statistics, and computer science as well as to have them practice applying these skills to problems in fields outside of the mathematical sciences. This program provides flexibility that allows for a variety of student interests and culminates in courses that apply quantitative reasoning to realworld problems.

Minor Requirements
To minor in analytics, a student must complete seven courses as given below:
Group A
One course from Group A below.
Group B
One course from Group B below.
NOTE:
The student must maintain a 2.00 grade point average in courses required for the minor. A student cannot simultaneously be declared as both a mathematics minor and an analytics minor, and a student cannot simultaneously be declared as both a statistics minor and an analytics minor. Also, a student cannot simultaneously be declared as both a mathematics major and an analytics minor. However, a mathematics major can declare a concentration in analytics within the mathematics major. Please see the catalog section for Mathematics for more detail.

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