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Master's Programme in Supply Chain Digitalisation

Learn to optimize supply chains with artificial intelligence and machine learning at the University of Southern Denmark.

Best for:Best for students with a quantitative background looking to specialize in AI-driven supply chain optimisation and data science.

University of Southern Denmark (SDU) · Sønderborg, Denmark · R1 · First-stage researcher
More professors at University of Southern Denmark (SDU)
artificial intelligencemachine learningsimulationdata sciencesupply chain management
This is a masters position — not a PhD studentship.
Deadline
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Funding
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2 years
Start date
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Location
Sønderborg
Denmark

Overview

The Master's Programme in Supply Chain Digitalisation at the University of Southern Denmark is a two-year graduate degree focused on cutting-edge technologies such as machine learning, artificial intelligence, simulation, and data science. Designed to drive the digitalisation of supply chains, the curriculum takes a holistic approach that promotes economic efficiency, sustainability, and high security. Students gain a deep understanding of advanced quantitative methods and data-driven decision-making to develop innovative industrial solutions. Through close collaboration with industry partners, the programme engages students in real-world, hands-on projects reflecting modern operational challenges.

supply chain digitalisationartificial intelligencemachine learningdata sciencesimulationquantitative methodssustainable supply chains

What you'll do

  • Engage in coursework covering advanced methods and technologies for supply chain digitalisation
  • Participate in real-world, hands-on projects developed in close collaboration with industry partners
  • Apply machine learning, artificial intelligence, and simulation techniques to optimize supply chain performance
  • Conduct data-driven decision-making and quantitative analyses to enhance economic efficiency and sustainability

Requirements

Degree required: Bachelor's degree or equivalent

Degree offered: Master

Language: English; refer to institutional guidelines for specific proficiency test score requirements

Instruction: English

Required skills
  • Foundational knowledge in engineering, computer science, or a related quantitative field
  • Aptitude for data-driven problem solving and quantitative analysis
  • Interest in artificial intelligence and machine learning applications
Nice to have
Prior academic or practical experience with programming and data scienceFamiliarity with supply chain operations or industrial processes

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
Programme
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Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
Not confirmed by the source
Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
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How to apply

Applicants should submit their application through the official university admission portal or designated application link, ensuring all necessary educational credentials and documentation are provided.

Documents required
  • CV
  • Bachelor's transcripts
  • Proof of language proficiency
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.