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Institute of Production and Logistics Management
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English-Language Programs and Courses.

NEW! Master's Degree in Economics and Business Analytics

The new Master's degree program "Economics and Business Analytics" can show you how to keep track of large amounts of data, interpret data, make it profitable for companies and benefit society, and how to make business decisions based on the data.

We have been offering the following courses as part of the Master's degree program Economics and Business Analytics since Fall 2019:

  • Operations Research (6 ECTS credits - 2 courses 4 ECTS credits (KS) and 2 ECTS credits (IK)): Optimize distribution networks, simulate business processes, improve resource utilization. Competitive companies make plans and decisions based on quantitative models and methods. During the course, you will learn how to master the required tools and methods. (Offered every Winter Semester)
  • Introduction to Digital Transformation and Technologies (6 ECTS): Data, Data, Data. Become more familiar with the entire business analytics process ranging from data generation and mining, the systems used to store the data, to the description, visualization, and using data to make business decisions. (Offered during both the Winter Semester and Summer Semester)
  • Programming for Business Tasks (6 ECTS credits): Discover the easy to learn the programming language, Julia, opens an external URL in a new window, created at MIT for Data Scientists and Business Analysts. (Starting Spring 2021)
  • Computational Logistics: Opimization (6 ECTS credits): Use OPL/CPLEX to model optimization problems arising in logistics and learn about advanced exact solution approaches. Use what you have learned to model and solve a logistics problem in the form of a small project. (Offered every Winter Semester)
  • Computational Logistics: Metaheurisitcs (6 ECTS credits): Metaheuristics are powerful algorithms successfully used in transportation planning, production scheduling, timetabeling etc., to produce high quality solutions toaddress complex problems in very short computation times. Nowadays, they are a core element in many software products. As part of a small project, you will learn how they work and can test your own ideas. Basic programming skills are required! (Offered every Summer Semester)