Digital transformation is reshaping production and logistics worldwide, and this master's prepares you to play a leading role in that shift. The curriculum addresses the technologies and methods companies rely on to remain competitive—ranging from smart logistics and big data to process simulation and Industry 4.0—so you can tackle challenges across manufacturing, supply chains and logistics management.
You will study digital influences and analytical methods for designing and organizing production processes, logistics and global supply chains. The course combines technical and managerial perspectives from the field of industrial engineering to give you the competencies needed for roles that require both systems thinking and hands‑on digital know‑how.
Teaching emphasizes real‑world applicability: small class sizes foster active participation and close collaboration with experienced faculty who bring industry expertise into the classroom. Interdisciplinary modules and targeted development of job‑related soft skills are paired with state‑of‑the‑art methods and practice-oriented projects to improve your employability in industry and logistics sectors.
Key facts & program highlights
Curriculum overview This three-semester program combines management, engineering and digital technologies to prepare you for leading roles in modern manufacturing and supply chains. The first two semesters cover a mix of strategic, technical and people-focused modules—ranging from business planning, finance and entrepreneurship to production strategy, lean optimisation and big data analytics—alongside applied project work and international, agile team experiences. The final semester is dedicated to the master's thesis and its examination, together with advanced subjects such as digital factory planning and an introduction to cyber security.
What you will study and achieve The curriculum is designed to develop capabilities in planning and optimising production systems, designing digital value chains and smart logistics, applying analytics and simulation methods, and managing organisational change and global sourcing risks. Through project work and KPI/decision-theory training you will gain practical experience in measuring and improving operational performance, while modules on finance and entrepreneurship provide the commercial perspective needed to translate technical solutions into business value.
Key modules (by semester)
Learning outcomes
This programme is aimed at applicants with a relevant technical or management bachelor’s degree, particularly in fields related to logistics, production, IT or mechanical engineering. Degrees in closely related subjects will also be considered. International applicants with non-EU degrees should note there is usually an additional preparatory requirement to ensure readiness for the Master’s curriculum.
If your bachelor’s diploma comes from outside the EU, a one-semester Pre‑Master is normally mandatory; it focuses on academic skills plus German language and cultural classes. An exception to the Pre‑Master may be possible if you hold a closely matching bachelor’s degree and can document more than three years of relevant work experience. The programme expects a total of 210 ECTS; applicants with 180 ECTS will need to agree on how to acquire the missing credits before the Master’s begins.
Admission requirements (summary)
Winter Semester (International)
31 July 2026
Summer Semester (International)
15 January 2027
Winter Semester (EU/EEA)
30 September 2026
Summer Semester (EU/EEA)
14 March 2026
Graduates are prepared for operational and digitalisation roles in manufacturing and logistics, including positions such as operations manager, production planner, process improvement specialist, supply chain manager, digital factory planner, Industry 4.0 implementation manager, and data/analytics roles supporting production and logistics. The curriculum’s emphasis on smart logistics, big data, process simulation and digital value chains equips graduates to lead or support digital transformation projects in industry.
Typical employers include manufacturing firms (automotive, electronics, machinery), logistics and supply-chain service providers, consulting firms specialising in operations and digital transformation, technology providers for industrial automation and analytics, and large corporations with in-house production and supply-chain departments. The part-time option and practice-oriented approach also suit professionals seeking to upskill while working.
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