AI-Driven Supply Chain Management (MSc)
Hof University of Applied Sciences
Degree
Master of Science
Language
English
Tuition
Free
Duration
3 semesters
Programme Overview
This English-taught master's programme focuses on analyzing global supply-chain challenges, applying AI-driven solutions, and improving resilience, sustainability, and competitiveness in end-to-end value-creation networks. It combines practice-oriented coursework with an internship and thesis.
Admission Requirements
- Academic requirements
Special regulations for applicants with less than 210 ECTS: must make up the missing credits through a post-qualification (internship or attending appropriate modules at Hof University)
- Minimum GPA
- Minimum grade 2.5 according to the German grading system.
- English requirements
- TOEFL minimum 90 or IELTS 6.5 or above.
- German requirements
- basic language skills in German, proven by official test score documents – minimum level of A1 according to CEFR
- Accepted bachelor fields
- Business-oriented bachelor's degree such as Business Management, International Management, Industrial Engineering, or Business Informatics from an accredited university, with at least 210 ECTS or equivalent in total and at least 110 ECTS in business-related subjects.
- APS Certificate
- Yes
- Thesis required
- Yes
- Mandatory internship
- Yes
Costs & Funding
- Tuition fee
- None
- Semester contribution
- 145 EUR semester fee (official Hof University finance page; amount may change by semester).
- ECTS credits
- 90
- Funding info
Tuition: None Semester contribution: 145 EUR semester fee (official Hof University finance page; amount may change by semester).
Career Outcomes
AI-Driven Supply Chain Manager, Supply Chain Analyst, Logistics and Operations Manager, Procurement and Sourcing Manager, Digital Transformation Manager, Supply Chain and Digital Innovation Manager, Sustainability and Risk Manager in Supply Chains, Digital Consultant in SCM, Digital Operations Manager
Typical job roles
Target industries
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Programme details
- Degree
- Master of Science
- Language
- English
- Duration
- 3 semesters
- Mode
- full-time
- Start
- Winter semester
- App. Window
- 01 May → 15 July (annual)
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