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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 Computational Science and AI/ML

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

Computational Finance/Economics

  • Complex Economic Dynamics (UvA), 5 EC
  • Computational Finance (UvA), 6 EC
  • Scientific Computing (UvA), 6 EC 
  • Stochastic Processes for Finance (UvA), 6 EC

Computational Biology

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

Computational Biomedicine

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

Computational Chemistry and Physics

  • Biomolecular Simulations (UvA), 6 EC 
  • 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 

High Performance Computing

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

Computational Social Science

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

Scientific Computing / Numerical Math 

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

Complex Systems

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