Master in Logistics and Supply Chain Management
One Programme - Two Tracks!
1. Logistics and Supply Chain Management
2. Digital Procurement
The curriculum of the master programme in logistics and supply chain management (LSCM) emphasises analytical problem solving, leadership, and communication skills. Students must complete core and elective coursework, a Master’s thesis, and participate in the Independent Activities Period (IAP) in Boston in January. The programme offers two career tracks to choose from. The Track in Logistics and Supply Chain Management prepares students for a future career in operations management and logistics. The track partners students with logistics and supply chain divisions of local partner companies for their thesis project. |
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Learning outcomes
Students who have completed the programme will be able to:
- describe how logistics and supply chain management / procurement decisions impact and/or are impacted by the business strategy,
- translate theoretical knowledge to real-world challenges in supply chain management in order to derive meaningful solutions,
- apply quantitative methods and techniques to solve logistics and supply chain management challenges by finding the right trade-off between different performance criteria
- systematically analyse complex, unstructured, and relevant supply chain management issues,
- organise and manage extensive sources of data required in order to gain insights from practical situations and generate a thorough quantitative basis for decision-making,
- formulate analytical models that capture the essence of the logistical and supply chain processes,
- design and improve efficient and effective logistics and supply chain processes,
- complete tasks independently and in teams and demonstrate how to organise ideas and articulate concepts in a clear fashion,
- compose documents and prepare presentations to effectively communicate the results and insights of a supply chain management analysis.
- use data science tools and softwares to analyse supply chain processes and data.
Highlights
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