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Master
Computational Science (joint degree UvA/VU)
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Application domains

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.

Application domain Computational Science Core

  • Advanced Computer Networks (VU, 6EC)
  • Maching Learning 1 (UvA, 6 EC)
  • Information Theory (UvA, 6 EC)
  • The Social Web (VU, 6 EC)
  • Experimental Design and Data Analysis (VU, 6 EC)
  • Machine Learning for the Quantified Self (VU, 6 EC)

Application domain Computational Finance/Economics

  • Complex Economic Dynamics (UvA, 5 EC)
  • Computational Finance (UvA)
  • Advanced Topics in Computational Finance (UvA, 6 EC)    
  • Stochastic Calculus (UvA, 5 EC)

Application domain Computational Biology

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

Application domain Computational Biomedicine

  • From Physics to Physiology (VU, 6 EC)
  • Parameter Estimation Applied to Medical and Biological Sciences (VU, 6 EC)

Application domain Computational Chemistry and Physics

  • Fundamental Topics in Statistical Physics 1 (UvA, 3 EC)
  • Statistical Theory of Complex Molecular Systems (UvA, 6 EC)
  • Understanding Molecular Simulation (UvA, 6 EC)
  • Biomolecular Simulations (UvA, 6 EC)
  • Fundamental Topics in Statistical Physics 2 (UvA, 3 EC)
  • Advanced Computational Condensed Matter (UvA, 6 EC)

Application domain High Performance Computing

  • Concurrency and Multithreading (VU, 6 EC) course is not taught in academic year 2021/2022
  • Distributed Systems (VU, 6 EC)

Application domain Computational Earth Sciences

  • Analysis and Modelling Lab (UvA, 6 EC)
  • GIS/RS Science in Ecosystem Dynamics (UvA, 6 EC)

(Course choices in consultation with the specialisation coordinator)

Application domain Scientific Computing, Numerical Math

  • Numerical Linear Algebra (UvA, 6 EC)
  • Uncertainty Quantification (UvA, 6 EC)
  • Numerical Algorithms (UvA)
  • Numerical Methods for Stationary PDEs (UvA, 6 EC)
  • Scientific Computing (UvA, 6 EC)

(Course choices in consultation with the specialisation coordinator)

Application domain Complex Systems

  • Stochastics Simulation (UvA, 6 EC)
  • Agent-based modelling (UvA, 6 EC)
  • Information Theory (UvA, 6 EC)
  • Theory of Complex Systems (UvA, 6 EC)
  • Complex System Simulation (UvA, 6 EC)