Study programme

Computational Science (MSc)

Three types of courses 

Computational Science is an area of science which spans many disciplines, but at its core it involves the development of models and simulations to understand natural systems. Our Master's programme is designed with this in mind. We define three course types: core, constrained choice and recommended electives. A complete programme consists of 14 courses and a six-month graduation project.

1.    The core courses reflect the central body of knowledge in Computational.

2.    The constrained choices offer breadth and depth, allowing students to either deepen their knowledge on core topics or broaden their scope.

3.    Finally, recommended electives offer students the option to take courses in application domains. These are especially intended for students who would like to do a research graduation project in one of the application domains as described below.

Curriculum schedule Computational Science 2017-2018

The first year

The first year is dedicated to core Computational Science courses covering computing & algorithms, modelling & simulation, massive-data processing and multidisciplinary collaboration.

During the first year, The constrained choice and recommended electives courses are in addition to your core courses and can be chosen freely from an extensive list.

The constrained choices also include central concepts in Computational Science, but here we offer some choice. These courses allow students to broaden their knowledge in either computing or modelling & simulation.

The second year

The second year is dedicated to elective courses and the Master's project. The recommended electives provide opportunity to deepen your knowledge of core concepts in Computational Science. These courses are selected to obtain a specialty in Computational Science or the different application domains, such as Finance & Economics, Biology, Biomedicine Numerical Mathematics and Earth Sciences.

The recommended electives help you prepare for the Master's project. The Master's project will be conducted in a scientific group at in one of the universities in Amsterdam, but could also take place at institutes at the Science Park, such as CWI, NIKHEF, AMOLF, AMC and the NKI, outside Amsterdam or abroad. Often students who choose Finance & Economics will do their Master's project at a financial institute such as 'de Nederlandse Bank'. The Master's project must be a scientific project with potential to complement the existing body of knowledge in Computational Science.

Our students often have a publication in a scientific paper as a result of their Master thesis. Here you can download a list of publications of our master students:

Master's project

Here are some abstracts of recent examples of Master's theses of our graduates:

Graduation in different domains

Not only do you graduate with knowledge of the core concepts of Computational Science like complex network simulation, but you can also specialise in one of the application domains, such as Computational Biology or Computational Finance. You can use the electives to take specific courses in application domains and perform your research in helping solving domain-specific problems in collaboration with domain experts.

Published by  GSI

8 November 2016