MSc programme Stochastic Operations Research

The SOR programme consists of 2 semesters course load and 2 semesters internship and final project. The final project may be the starting point of a PhD project in Stochastic Operations Research or the orienteering phase aiming for a professional career.

The course programme in the first year aims for general mathematical techniques and their application in e.g. computer science, electrical engineering, physics and (healthcare) logistics. Besides the core mathematical courses and a selection of courses offered by the SOR group, courses offered by other departments or national programmes may be included.

The course programme must satify the criteria of the Applied Mathematics programme or see the OER (in Dutch). In addition, four out of five MSc courses offered by SOR must be included, see this list of the SOR courses. A list of courses offered at UT is provided below. National courses may be selected from the Mastermath programme, the Beta MSc programme or the LNMB MSc programme. In some cases, courses from the LNMB PhD programme may be included.

The internship of 20 EC aims at application of mathematics in an engineering environment. Results are often published in professional magazines. The final project of 40 EC is research oriented aiming at research published in an international journal. A combination of internship and final project is possible.

For students aiming at a PhD position, the programme is embedded in the Twente Graduate School programme Industrial Engineering. The Graduate School programme provides some additional courses in the MSc and PhD programmes. Moreover, embedding in the Graduate School programme allows for a 5 year MSc + PhD programme, where the second year of the MSc programme (internship and final project) is the preparation year for the PhD programme.

Acceptance criteria

The acceptance criteria are those of the IEOR track within Applied Mathematics. In principle, SOR requires a course on Markov chains and on Mathematical Programming. In some cases, deficiencies can be resolved via the homologation programme. In particular, to this end we offer the course Introduction to Stochastic Processes .

Most other deficiencies can be handled during the course programme studying some additional study material. Information for prospective students is available at For details and questions concerning acceptance in the SOR programme contact prof.dr R.J. Boucherie.

On the next pages you can find an example programme focusing on a mathematical setting and a list of optional courses.