This course covers principles and techniques of applied mathematical modeling for managerial decision making. Emphasis is on the methods of prescriptive analytics, including optimization models, decision analysis, simulation modeling, and risk analysis. Problems studied will include applications in finance, health care, marketing, operations, and management. Cases studies will be used extensively to demonstrate the practical use of models to improve managerial decision making. In addition to developing and applying models, emphasis will be placed on explaining the models and interpreting their results.
POMS.6010, or Matriculated MSBA, or MSA, or MSF, or MSEM, or MSEI, or GCBA, or permission of graduate business programs coordinator.