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Master of Science

AI-Driven Supply Chain Management (MSc)

Hof University of Applied Sciences

Hof, GermanySupply Chain & Logistics
Free TuitionAPS Requiredfull-time

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

AI-Driven Supply Chain ManagerSupply Chain AnalystLogistics and Operations ManagerProcurement and Sourcing ManagerDigital Transformation ManagerSupply Chain and Digital Innovation ManagerSustainability and Risk Manager in Supply ChainsDigital Consultant in SCMDigital Operations Manager

Target industries

LogisticsSupply chainManufacturingRetailTechnologyConsulting

Similar programmes in Supply Chain & Logistics

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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