Programme content
Logistics entails organizing the flow of products, services and information from raw materials to the end-user. For a large number of industrial and business companies, achieving high quality logistics operations will be the key competitive factor for future success. Hence, it is a considerable focus on logistics in the business world. The knowledge can be used in all sorts of industries /organizations, which means that the job market for students with a master’s degree in logistics is generally quite good.
The program aims to give a thorough analysis and understanding of problems, challenges and solutions associated with all parts of the value chains: purchasing and supply, production planning, inventory management and distribution planning, including the management of transport services. Understanding the relations between different value chains, (Supply Chain Management) is also a major focus in the program.
The approaches to problem-solving in logistics require a broad understanding of the subject matter in order to find satisfactory solutions on the basis of an analysis of alternatives. Hence, logistics as a scientific discipline rests on a broad spectrum of other disciplines, such as economics, information/communication technology, business administration, organization and management, as well as quantitative methods based on mathematics, operations research and statistics. The involvement of all these topics within the field of logistics makes it exciting and challenging to study logistics at this level.
Students in the program will choose one of the three main specializations, called Supply Chain Management (SCM), Sustainable Freight Transport (SFT) and Logistics Analytics (LA). Students choosing the SCM-variant must – before the second semester starts – choose between the two different sub- variants of Advanced SCM or Information systems. Students choosing the LA-variant must- before the second semester starts-choose between the sub-variants of Logistics Analytics or Operations Research.
The specialization in Supply Chain Management is suited for students with an interest in organization, business and to some extent social science. Although mathematics and statistics are used, the focus is more on the qualitative aspects involved in the management of the value chain. Suitable backgrounds include supply chain management, economics, business administration, among others.
The specialization in Sustainable Freight Transport focuses on analysis and understanding of strategic and operative aspects related to in- and outbound freight flows in a supply chain. The analysis of freight transport's key role in climate actions is also central in this track.
The specialization in Logistics Analytics is suited for students interested in quantitative methods for analyzing, planning and management of activities involved in production, inventory, transportation and distribution within and across companies. Modern topics as big data, visual analytics and robotization will be covered.
The program is taught entirely in English and currently includes students from more than 10 different countries, both within and outside Europe. This means that those participating in the program will have the benefit of belonging to a truly international group of students and to enhance their language skills, making them ready for logistics careers in an ever more globalized economy
Tuition Fees for students who are citizens of a country outside EU/EEA and Switzerland
Students who are citizens of one of the countries outside EU/EEA and Switzerland must pay full tuition fees, if they do not fall within one of the exemption categories formally decided by the Norwegian government.
For more information about exemption categories, please see the Tuition Declaration Form under Application Procedures.
The yearly tuition fee for the academic year 2024/2025 is NOK 197 000. Admitted students must pay this tuition fee within a last deadline mentioned in the letter of admission.
Master student internal pages
For organisations - Logistics Students Master's Thesis collaboration
