MIS 334 - Business Analytics

Lecture Hours: 4
Lab Hours: 0
Credit Hours: 4

Understanding of Descriptive, Predictive and Prescriptive Analytics. Regression, Forecasting, Simulation, Sampling and Optimization in relation to business application. Introduction to Data Mining Algorithms are also covered.

Prerequisites: MATH 361; and CST 324 or MIS 113 or MIS 275, all with grade “C” or better