Why choose Supply Chain Digitalisation?
Do you want to help develop the intelligent and data-driven supply chains of the future? The MSc in Supply Chain Digitalisation combines supply chain engineering with technologies such as machine learning, artificial intelligence, simulation and data science.
The programme focuses on how companies can use data to make better decisions, optimise processes and create more resilient and sustainable supply chains in a world characterised by complexity and constant change.
You become a specialist who can connect technology, analytics and business understanding, helping companies create more efficient, sustainable and resilient supply chains.
Supply Chain Digitalisation is for you if you鈥�
- want to work with data, artificial intelligence and digital technologies in supply chains
- are interested in production, logistics, forecasting and inventory management
- want to use quantitative methods to support better decision-making in companies
- want to work with sustainable, resilient and efficient supply chains in an international context
What will you learn?
On the programme, you will work with digital technologies and quantitative methods for analysing, planning and optimising supply chains. You will learn how to apply machine learning, simulation and data-driven models to solve challenges within production, logistics, forecasting and inventory management.
Throughout the programme, you gradually build competences in data handling, analytics and advanced strategic decision-making tools. You learn to turn large amounts of data and complex models into insights that can be used for concrete business decisions.
You also gain a strong understanding of how digital technologies can be used to create more efficient, sustainable and resilient supply chains.
Teaching methods
Teaching combines theory with a hands-on approach, where you work on projects based on real-world cases from companies. The programme has been developed in close collaboration with industry, giving you insight into current challenges and the technologies companies are actively seeking expertise in.
You become part of an international study environment with courses taught in English and close interaction with both researchers and companies.
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