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Master's in Grid Computing

Full-time - Day-time class

Educational institute
Master School of Informatics
Credits
120
Duration
Two years
Instruction language
English
Information
W. Remijn MSc
Postbus 94214
+31205256028
The programme Schedule
MSc Grid Computing - track Computational Science - MSc Grid Computing - track Computer Science

Schedule

MSc Grid Computing - track Computational Science

The track Computational Science takes two academic years (120 EC), which awards a Master of Science degree in Grid Computing. Students can start in semester 1 (September) or semester 2 (February).
Computational Science focuses on systems for quantitative modelling and simulation of complex dynamic systems. These are found in, e.g., physics, chemistry, biology, medicine and engineering.

Key words: modeling and simulation, scientific computing, cellular automata, mesoscopic modelling, parallel algorithms, scientific visualisation and virtual reality.

The track Computational Science consists of the following elements:

  • Obligatory courses: 48 EC
  • Constrained Choice: 12 EC
  • Free Choice:12 EC
    Free choice enables the student to attend master courses not already mentioned as constraint choice. The free choice can also be used to work on deficiencies. In this case the free choice is not completely free. The track coordinator may decide to limit the free choice and suggest a constraint choice or obligatory courses.
  • Graduation Research: 48 EC            

Obligatory courses Computational Science
Semester 1 
    Year 1:
    semester 1a:
    Introduction to Computational Science (6 EC)
    Numerical Algorithms (6 EC)
    semester 1b:
    Stochastic Simulation (6 EC)
    semester 1c:
    Concurrent Programming (6 EC)
    Year 2
    semester 1a:
    Scientific Visualization and Virtual Reality (6 EC)
    semester 1 and 2:
    Graduation Research -Computational Science (48 EC)
Semester 2
    semester 2a:
    Scientific Computing (6 EC)
    semester 2b:
    Seminars Computational Science (6 EC)
    semester 2c:
    Complex System Simulation (6 EC)

Constrained choice Computational Science; 12 EC out of:
Semester 1 
    Advanced course on Bioinformatics ( EC)
    BioInformatics I (6 EC)
    Forensic Information Systems (6 EC)
    From Genome to Physiome (6 EC)
    Introduction to eScience Infrastructure (6 EC)
    Molecular Simulation (6 EC)
    Physics of Organs 1: Cardio-Pulmonary Physics (6 EC)
Semester 2
    BioInformatics II (6 EC)
    Computational Biology (6 EC)
    Computational Finance (6 EC)
    GIS/RS Science in Ecosystem Dynamics (6 EC)
    Medical Imaging (6 EC)
    Modelling Geo-ecological Systems (6 EC)
    Quantum Computing (6 EC)
    Finite Element Methods (6 EC)

Note that this list of disciplinary courses is dynamic and can change in time. You can also propose disciplinary courses yourself from yet other fields.

Mapping the old track (2009-2010) to the new track (2010 – 2011)
As compared to the previous 2009-2010 track, the new curriculum for Computational Science for 2010-2011 contains no changes.

You can also take a variant in BioInformatics. The structuring of the curriculum is comparable to Computational Science, and there is substantial overlap. However, the obligatory courses in BioInformatics are:

Obligatory courses Computational Science-Bioinformatics
Semester 1 
    Year 1
    semester 1a:
    BioInformatics I (6 EC)
    Introduction to Computational Science (6 EC)
    semester 1b:
    Stochastic Simulation (6 EC)
    semester 1c:
    Advanced course on Bioinformatics ( EC)
    Year 2:
    semester 1 and 2
    Graduation Research -Computational Science (48 EC)
Semester 2
    semester 2a:
    Computational Biology (6 EC)
    Scientific Computing (6 EC)
    semester 2b:
    BioInformatics II (6 EC)
    semester 2c:
    Lab Visits BioInformatics (6 EC)

Then there is a free choice of 24 EC.