Curriculum that combines quantitative expertise with real-world logistics challenges
The Analytics and Operations Research in Logistics specialisation focuses on areas within transport and logistics that rely heavily on advanced decision support systems. You will learn how to apply and develop quantitative methods to optimise planning, scheduling, and resource allocation in sectors such as railways, shipping, aviation, and supply chain management. These skills are also transferable to other domains, including healthcare and energy.
Programme structure
The programme is structured across five blocks of eight weeks.
- Methodological courses provide a deep understanding of operations research techniques, machine learning and mathematical modelling.
- Applied courses challenge you to use these techniques in realistic business scenarios.
- Seminars offer team-based learning through case studies that simulate complex logistics problems.
- Master thesis is written individually in the final blocks, based on your own research and under close supervision.
Curriculum overview
- 50% Methodological Courses
- 20% Applied Courses
- 30% Seminars
The exact composition depends on your course selection.
In class
You will work on real-life cases that require both rigorous quantitative modelling and practical decision-making.
For example:
How can an KLM schedule its maintenance engineers during peak travel seasons?
In a seminar project, you will develop a roster that balances operational needs with employee preferences, using optimisation techniques to satisfy constraints while improving efficiency. You will work in teams to analyse data, model the problem, and present a solution that could be implemented in practice.
Study schedule
| period | course name | EC |
|---|---|---|
| block1 | Take-Off Master | 0 ec |
| block1 | Stochastic Models and Inventory Control | 4 ec |
| block1 | Mathematical Programming | 4 ec |
| block1 | Machine Learning in OR | 4 ec |
| block2 | Algorithm Design | 4 ec |
| block2 | Optimisation under Uncertainty | 4 ec |
| block2 | Optimisation in Energy Systems | 4 ec |
| block3 | Transportation and Scheduling | 4 ec |
| block3+4 | Seminar Logistic Case Studies | 12 ec |
| block4 | Master's Thesis Proposal E&MS | 4 ec |
| block4+5 | Master's Thesis Operations Research and Quantitative Logistics | 16 ec |
| Total | 60 ec | |
Disclaimer
This overview provides a general impression of the 2027-2028 curriculum. It is not the current study schedule. Enrolled students can find the most up-to-date version on MyEUR. Please note that minor changes may occur in future academic years.