Our courses provide a profound understanding of the impact that strategic, tactical and operational decisions about the design and management of operations systems have on key performance indicators. Students will learn about predictive and prescriptive analytics methods such as linear programming or robust planning to make optimal decisions. Further, these analytical methods will be implemented for various operations problems in Python. Throughout the course, students will work on case studies individually and in groups using standard business analytics tools. Guest lecturers from industry, consulting and academia enrich our courses. Field trips to worldwide leading manufacturers enable students to gain insights into operations systems and processes. They can relate their theoretical knowledge to practical decision support.
We offer the following business analytics-oriented courses.
Students work on a research topic in OPM 761 – Research Seminar Production Management to extend their knowledge in one of the topics from OPM 661 or OPM 662. Therefore, the research seminar requires successful participation in either module OPM 661 or OPM 662. OPM 761 can be attended in the fall or in the spring semester. However, we recommend writing the seminar thesis at the end of the Master studies, right before the Master's thesis. The seminar and the Master's thesis can be successfully completed in the same semester. The application for the seminar and the kick-off meeting will take place in the preceding semester.