2.0

Average Course Rating

Being a leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. The Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making. These include Linear and Integer Optimization, Decision Analysis, Risk modeling, and Monte Carlo Simulation. For each methodology students are first exposed to the basic mechanics, and then apply the methodology to real-world business problems using software. Emphasis will be not on programming, but rather on formulating problems, translating those formulations into useful models, optimizing and/or displaying the models, and interpreting results. The course will not produce experts at modeling and/or programming (although students may be able to pick up a few spreadsheet skills along the way). Rather, the goal is to prepare managers who are comfortable with translating trade-offs into models, understanding the output of the software, and who are appreciative of quantitative approaches to decision making.