Lectures will use a combination of theoretical foundations and empirical examples to introduce and discuss different aspects, opportunities, and challenges of successfully using business analytics in strategic decision making. Lectures also include hands-on demonstrations of analytics implementations using a statistical computer package.

The lectures will focus on real-world problems and applications of strategic business analytics. Students will learn what data and algorithms are required to make strategic decisions in business environments. Besides theoretical input, students will be asked to work on quizzes and problem sets with the ongoing support of the instructors. These will enable students to learn how to handle and analyze data, as well as critically interpret results. Besides the quiz and problem set assignments, students will work on a group-based case study at the end of the course in a workshop-based mode. In this case study, students will analyze a (or multiple) data set(s) using ready-to-adapt R code provided by the lecturer. At the end of the case study, students will present their results and what they have learned from the process.