Business Analytics

Catalog description

This course introduces the basic principles and techniques of applied mathematical modeling for managerial decision making. You will learn to use some important analytic methods (e.g. forecasting, data mining, optimization, Monte Carlo simulation), to recognize their assumptions and limitations, and to employ them in decision making. The course is entirely hands-on. The emphasis will be on model formulation and interpretation of results, not on mathematical theory. The emphasis is on models that are widely used in diverse industries and functional areas, including finance, marketing, and operations. Prerequisite: BUSF-SHU 101 Statistics for Business & Econ or MATH-SHU 234 Mathematical Statistics or MATH-SHU 235 Probability and Statistics and sophomore standing or above. Fulfillment: CORE AT; BUSF/BUSM Business elective, Business Analytics Track; IMB Business Flexible Core course.