This MSc is built to give a deep, practical understanding of how to design, operate and analyse supply chains, and to teach the methods and tools needed to work responsibly across complex supply‑chain networks. The curriculum emphasises modern leadership and management skills alongside strong training in data analytics and data engineering, including the study of data‑driven business processes. Students learn to apply quantitative and programming skills (e.g., Python and R) to real supply‑chain problems and to respond to trends in increasingly digitalised logistics environments.
The programme welcomes applicants from diverse academic and professional backgrounds — including logistics, economics, engineering and information technology — and from many countries and cultures. Teaching is practice‑oriented: students engage with companies early on, take part in applied projects such as a Big Data Challenge, receive frequent individual feedback, and get personal mentoring to accelerate professional development. Additional support for the German job market is available through German language classes, cultural modules and career services.
The programme is structured across four semesters. The first semester is an introductory phase designed to bring students from diverse academic and cultural backgrounds onto a common footing. You will become familiar with foundational methodologies and core concepts in supply chain and logistics, while also building essential skills in data analytics and basic programming needed for modern supply‑chain work.
In the second semester the curriculum digs deeper into the functional areas of supply chains: designing supply‑chain networks, procurement and sourcing processes, and distribution and logistics strategies. Teaching typically emphasises analytical frameworks and practical decision‑making approaches used to optimise flows of goods and information.
The third semester focuses on advanced, applied capabilities for addressing complex problems in both scientific and industrial environments. Expect to work on integrative projects that require systems thinking, quantitative analysis and interdisciplinary collaboration. The fourth semester is dedicated to the Master’s thesis, an independent research or applied project where you demonstrate the ability to apply learned methods to a real‑world or scientific question.
Key modules (topics covered)
Learning outcomes
To apply for this Master’s in Supply Chain Management you will need to submit a short application package that demonstrates your academic background, motivation and language ability. The admissions committee uses these documents to assess your fit for the program and to verify that you hold the necessary prior qualifications. Note that the bachelor’s degree certificate itself can be provided at a later stage if it is not yet available.
Be prepared to provide documents in English or German, and to include references who can attest to your academic performance or professional potential. An English language proficiency test is also required—check the program’s detailed admissions page for accepted tests and score requirements.
Required documents (submit as part of your application)
Winter Semester (International)
1 June 2026
Winter Semester (EU/EEA)
31 July 2026
Graduates are prepared for roles across supply chain and logistics functions including supply chain design, procurement, distribution, supply chain engineering, and operations management. The programme’s strong emphasis on data analytics and data engineering also positions graduates for data-driven roles such as supply chain analyst, data analyst/engineer for logistics, and roles combining operations and analytics.
Thanks to practical company involvement, project work and career services, graduates typically progress quickly into industry positions or research/technical roles in both industrial and scientific settings. Integrated German language and culture training further enhances employability for positions in Germany and German-speaking organisations.
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