This English-taught Master’s programme prepares you to meet the fast-changing demands of global supply chains by combining supply chain theory with practical, AI-enabled tools. You will learn to analyse complex logistics networks, assess new approaches in logistics and procurement, and apply artificial intelligence to boost efficiency, sustainability and resilience across end-to-end value creation networks. The curriculum balances theoretical foundations with hands-on skills so graduates can safeguard supply security, increase flexibility and secure long-term competitive advantages for organisations.
Coursework gives a broad view of international value chain management, digital procurement and AI-driven logistics while covering core areas such as supply chain analytics, automation, digital identification and business process management. You will also build competence in data science, applied AI methods and global business strategy—equipping you to lead digital transformation projects and to implement data-driven decision-making in procurement, logistics and wider supply chain operations.
On graduation you will be able to design, analyse, optimise and digitally transform global supply chains; deploy AI solutions to improve efficiency, sustainability and resilience; and structure and manage cross-functional, AI-powered international supply networks. The programme opens strong prospects for leadership roles in internationally operating companies at the intersection of supply chain management and digital transformation.
Admissions requirements (concise)
Typical roles graduates pursue
Admission overview
You must hold a business-focused Bachelor’s degree from an accredited university (examples include Business Management, International Management, Industrial Engineering, or Business Informatics). Your degree should amount to at least 210 ECTS (or the equivalent credit total according to the system in your home country) and include at least 110 ECTS in business-related subjects. A minimum overall grade of 2.5 in the German grading scale is required — please supply a diploma supplement or an official document that explains how grades are reported at your home institution so we can verify the conversion.
If your Bachelor’s degree totals fewer than 210 ECTS, conditional admission is possible. You must make up the missing credits through a post-qualification by either completing an internship of at least 900 hours (six months) that was not already recognised as a compulsory internship in your Bachelor’s degree, or by taking appropriate compensatory modules at Hof University. You may also combine a shorter internship with university modules. Choosing either option will typically require planning for an additional (fourth) semester to finish the required make-up credits.
Requirements (concise)
Winter Semester (International)
31 May 2026
Summer Semester (International)
30 November 2026
Winter Semester (EU/EEA)
15 July 2026
Summer Semester (EU/EEA)
15 January 2027
Graduates are prepared for leadership and specialist roles at the intersection of supply chain management and digital transformation, such as AI-Driven Supply Chain Manager, Supply Chain Analyst, Logistics and Operations Manager, Procurement and Sourcing Manager, Digital Transformation Manager, and Sustainability and Risk Manager. The programme’s combination of AI/data science skills with practical industry experience equips alumni to design, analyse, optimise and digitally transform end-to-end value chains.
With hands-on internship experience and a project-based thesis developed with partner companies, graduates are positioned to lead data-driven decision-making and implement AI solutions that improve efficiency, resilience and sustainability in globally operating firms or consultancies focused on digital supply chain innovation.
HWR Berlin (Berlin School of Economics and Law) — Berlin
Dortmund University of Applied Sciences and Arts — Dortmund
Furtwangen University — Villingen-Schwenningen
Harz University of Applied Sciences — Wernigerode