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Within the master programme Computational Science there is a distinction between different application domains (please note: these are not official specialisation tracks and will not be printed as such on the diploma). Students are able to compile their own personal curriculum, as long as that curriculum is approved by the Examinations Board.  The domains given below and the suggested courses are examples of possible curricula; other combinations of restricted-choice elective courses and free-choice elective courses are possible as well.

Core Computer Science and AI/ML

  • Machine Learning 1 (UvA), 6 EC
  • Experimental Design and Data Analysis (VU), 6 EC
  • Machine Learning for the Quantified Self (VU), 6 EC

Computational Finance/Economics

  • Stochastic Processes for Finance (UvA), 6 EC
  • Advanced topics in Computational Finance (UvA), 6 EC
  • CED 1: Learning, Stability and Chaos (UvA), 5 EC 
  • Stochastic Simulation (UvA), 6EC 
  • Scientific Computing (UvA), 6 EC 
  • Computational Finance (UvA), 6EC

Computational Biology

  • Fundamentals of Bioinformatics (VU), 6EC 
  • Algorithms in Sequence Analysis (VU), 6EC 
  • Computational Biology (UvA), 6EC 
  • Bioinformatics for Translational Medicine (VU), 6EC 

Computational Biomedicine

  • From Physics to Physiology (VU), 6 EC 
  • Stochastic Simulation (UvA), 6EC 
  • Biomolecular Simulations (UvA), 6EC

Computational Chemistry and Physics

  • Non-equilibrium Statistical Physics (UvA), 3 EC 
  • Physics of Complex Systems: Dynamics and Chaos (UvA), 3 EC 
  • Statistical Theory of Complex Molecular Systems (UvA), 6 EC 
  • Understanding Molecular Simulation (UvA), 6 EC 
  • Biomolecular Simulations (UvA), 6 EC 

High Performance Computing

  • Programming Large-scale Parallel Systems (VU), 6 EC 
  • Distributed Systems (VU), 6 EC 
  • High Performance Computing and Big Data (UvA), 6 EC 
  • Parallel Programming Practical (VU), 6EC 
  • Accelerator-Centric Computing Ecosystems (VU), 6 EC

Computational Social Science

  • Computational Social Choice (UvA), 6 EC 
  • Stochastic Simulation (UvA), 6 EC 
  • Game Theory (UvA), 6 EC 
  • Theory of Complex Systems (UvA), 6 EC 

Scientific Computing / Numerical Math

  • Parallel Algorithms (UvA), 8EC 
  • Numerical Methods for Time-Dependent Partial Differential Equations (UvA), 8 EC 
  • Scientific Computing (UvA), 6 EC

Complex Systems

  • Physics of Complex Systems: Dynamics and Chaos (UvA), 3EC 
  • Stochastic Simulation (UvA), 6 EC 
  • Theory of Complex Systems (UvA, 6 EC)