The goal of this course is to help the participants build operational models from raw data, and apply these models in taking effective business decisions in climates of uncertainty, complexity, and ambiguity.



This course is to develop the fundamental knowledge and skills for leveraging the decision sciences in dealing with current management challenges.  Conference and workshop topics include the role of managerial decision-making in leadership, organizational learning, business process improvement, and decision support systems. Using case studies drawn from variety of industries and markets, the course will focus on the models, tools, techniques, and realities of data-driven decision-making.

The targeted concepts, learning goals and outcomes can be reviewed in our course syllabus.

course syllabus