Study Plan for Master of Science in Logistics (2025–2027)
Facts about the program
- ECTS Credits:
- 120
- Study duration:
- 2 years
- Organisation:
- Full-time
- Campus:
- Molde
- Teaching language:
- English
- Study level:
- Master's degree (2 years)
Table of contents
Information on the programme
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
What do you learn?
Qual
Learning outcomes (knowledge, skills and general competence)
After completing the program, the successful candidate is expected to:
Knowledge
- have advanced knowledge about supply chains and logistics in general
- have specialized knowledge about selected topics when dealing with different types of supply chains
- have extensive knowledge of scientific theories and methods relevant to managing supply chains and operations within such chains
- have advanced knowledge of the relations between supply chains and relevant theories within economics and business administration
- have advanced knowledge about logistics, operations research and operations management in general
Skills
- be able to use advanced theory and methods to identify inefficiencies in supply chains
- be able to propose improving organizational/structural changes and suggest ways of implementing such changes in a supply chain.
- be capable of performing a limited supervised research project within a supply chain in line with ruling academic standards of the field
- be able to identify operational challenges/problems in supply chains and logistics systems and to assert the relevance of models and methods to resolve these
- be able to select relevant models and methods for approaching a given logistical problem.
- be able to choose and use relevant software and technology in implementing computer-assisted solution methods
General Competence
- be able to present and communicate professional issues relevant to SCM and logistics, on an expert- as well as a common level
- be able to apply acquired knowledge and skills within new areas of research and applications
- be able to read scientific papers and other academic work with a critical view
Structure and content
Contents
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
Structure and content of programme
Organisation and learning methods
The program courses use a wide range of teaching and study methods. Standard courses run over one semester with classes once or twice per week, but in some cases a course can include more intensive teaching within a limited time period. Students have homework in terms of exercises, computer lab work, case studies and essays, both individually and in groups. The one-week seminars in the third semester are intensive courses with a mix of lectures, homework, discussions and student presentations. Participation in the seminars normally requires that students have passed the mandatory courses in the two first semesters. Students finalize the degree by carrying out a supervised research project and write their thesis on basis of this. Students enrolled in the program are expected to do at least 40 hours of study work per week. The program is not suited for distance learning.
Some additional information about the MSc program can be found on https://www.himolde.no/english/studies/programmes/master-programmes-in-logistics/index.html
Study progression
Assessment
Educational opportunities
Study Model
Autumn 2025
Specialization electives:
You must choose one spesialization.
Logistics Analytics
NB! Remember to choose subvariant in second semester-25
Supply Chain Management
NB! Remember to choose subvariant in second semester-25
Sustainable Freight Transport
Choose specialisation to view courses
Spring 2026
Supply Chain Management
NB! Remember to choose subvariant in second semester-25
Logistics Analytics
NB! Remember to choose subvariant in second semester-25
Advanced Supply Chain Management
Information Systems
- IBE700 Enterprise Resources Planning (ERP) 7.5 stp
- IBE710 AI in Logistics 7.5 stp
- IDA715 Discrete Event Simulation 7.5 stp
- IDA720 Applied Data Analytics 7.5 stp
- LOG765 Project Planning and Control 7.5 stp
- LOG767 Supply Chain Risk Management 7.5 stp
- TRA705 Sustainable and Digitalized Urban Freight Logistics 7.5 stp
- TRA820 Air Transport Economics 7.5 stp
- TRA835 Smart mobility and future transport solutions 7.5 stp
Logistic Analytics
Logistics Analytics
NB! Remember to choose subvariant in second semester-25
- IBE700 Enterprise Resources Planning (ERP) 7.5 stp
- IBE710 AI in Logistics 7.5 stp
- IDA715 Discrete Event Simulation 7.5 stp
- IDA720 Applied Data Analytics 7.5 stp
- LOG733 Exact Optimization Methods in Logistics 7.5 stp
- LOG734 Heuristics in Analytics 7.5 stp
- LOG765 Project Planning and Control 7.5 stp
- LOG820 Vehicle Routing 7.5 stp
Operations Research
Supply Chain Management
NB! Remember to choose subvariant in second semester-25
- ADM760 Economics of Strategy 7.5 stp
- ADM765 Strategic Management 7.5 stp
- IBE700 Enterprise Resources Planning (ERP) 7.5 stp
- IBE710 AI in Logistics 7.5 stp
- IDA715 Discrete Event Simulation 7.5 stp
- IDA720 Applied Data Analytics 7.5 stp
- LOG765 Project Planning and Control 7.5 stp
- LOG767 Supply Chain Risk Management 7.5 stp
- SCM705 Cost Management in SCM 7.5 stp
- TRA705 Sustainable and Digitalized Urban Freight Logistics 7.5 stp
- TRA820 Air Transport Economics 7.5 stp
- TRA835 Smart mobility and future transport solutions 7.5 stp
Sustainable Freight Transport
- LOG765 Project Planning and Control 7.5 stp
- LOG767 Supply Chain Risk Management 7.5 stp
- SCM705 Cost Management in SCM 7.5 stp
- TRA705 Sustainable and Digitalized Urban Freight Logistics 7.5 stp
- TRA820 Air Transport Economics 7.5 stp
- TRA825 Sustainability in Freight Transport Chains 7.5 stp
- TRA835 Smart mobility and future transport solutions 7.5 stp
Choose specialisation to view courses
Autumn 2026
Seminars in Logistics
Seminars in logistics (minimum 30 credits).
- LOG904-100 Proposal Presentation 5 stp
- LOG904-101 Framing, Scoping, and Choosing Research Designs 2.5 stp
- LOG904-109 Measuring and Managing Performance in Shipping, Logistics and Supply Chains 2.5 stp
- LOG904-116 Offshore Upstream Logistics 2.5 stp
- LOG904-117 Business Intelligence Using Power BI 2.5 stp
- LOG904-118 Computational Optimization Models for Production Planning 2.5 stp
- LOG904-124 Efficiency and productivity measurement using Data Envelopment Analyses (DEA) 2.5 stp
- LOG904-126 Decision Modeling and Metaheuristics 2.5 stp
- LOG904-127 Last Mile Delivery: Data Analytics and Models 2.5 stp
- LOG904-131 Applied Dynamic and Stochastic Programming for Logistics 2.5 stp
- LOG904-140 Service Industry Logistics 2.5 stp
- LOG904-151 Disaster Relief Operations and Supply Chain 2.5 stp
- LOG904-162 Applications of Scheduling and Timetabling 2.5 stp
- LOG904-166 Supply Chain Visibility with RFID and IoT technologies 2.5 stp
- LOG904-176 Incoterms, Cargo Insurance and Transport Law 2.5 stp
- LOG904-182 Digital Technologies for a Sustainable Circular Economy 2.5 stp
- LOG904-183 Energy Transitions 2.5 stp
- LOG904-185 Sustainable mobility, policy planning and behavior change 2.5 stp
- LOG904-186 Purchasing Management in the Public Sector 2.5 stp
- LOG904-187 Strategies for Successful Procurement in Projects 2.5 stp
- LOG904-190 Mixed Integer Programming Models for Logistics Optimization 2.5 stp
- LOG904-193 Planning of Renewable Energy Value Chain 2.5 stp
- LOG904-194 Supply Chain Finance and Working Capital Management 2.5 stp
- LOG904-195 Operations Strategy, Capacity and Facility Planning 2.5 stp
- LOG904-196 Agentic AI in Logistics and Supply Chain Management 2.5 stp
- LOG904-197 Carbon Capture and Storage Value Chains 2.5 stp
- LOG904-198 Application and modelling of Product-Oriented Life Cycle Assessments 2.5 stp
- LOG904-199 Executing and Communicating Research 2.5 stp
- LOG904-201 Scenario Planning and Preparedness in Logistics and Supply Chain Management 2.5 stp
Choose specialisation to view courses
Spring 2027
Logistics Analytics
NB! Remember to choose subvariant in second semester-25
Supply Chain Management
NB! Remember to choose subvariant in second semester-25
Sustainable Freight Transport
Choose specialisation to view courses