The programme focuses on the design, management and improvement of supply chain management strategies. It is multidisciplinary and builds on several scientific disciplines
One important way a company can improve its competitiveness is to apply supply chain management (SCM). This programme helps students develop their skills in purchasing, logistics, marketing, transport and general management.
The courses and master’s thesis include different pedagogical ideas and teaching methods in order to fulfil the aim and learning objectives.
Problem-based learning including case studies and problem solving with quantitative and qualitative models is one important aspect of the programme.
Who should apply
Due to greater specialisation, the need to organise and manage the global exchange of goods, services and information between companies is growing.
As the content of this exchange is becoming increasingly technical, this is a golden opportunity for engineers to take on managerial positions in marketing, logistics, purchasing, transportation and production.
Students gain enhanced theoretical knowledge and comprehensive practical experience of related concepts, which allows them to improve the way in which a company finds what it needs to produce a product or service and deliver it to its customers.
Students learn not only to understand current best practice and trends but also to continuously identify and analyse the complex changes that supply networks are undergoing.
Entry requirements (academic year 2019/20)
An applicant must either have a Bachelor’s degree in Science/Engineering/Technology/Architecture or be enrolled in his/her last year of studies leading to such a degree.
Note: A Bachelor’s degree in Business Administration or Economics does not fullfill the requirements.Prerequisites
: Mathematics (at least 30 cr.) (including Mathematical Statistics at least 7,5 cr.) and studies in one or several of the following subjects: Industrial management, Logistics, Operations management and/or Supply chain management (at least 15 cr.)Preferable course experience
: Linear algebra, Single variable analysis and Multivariable analysis
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