Computational Science (joint degree UvA/VU)
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
- Machine Learning (UvA), 6 EC
- Experimental Design and Data Analysis (VU), 6 EC
- Machine Learning for the Quantified Self (VU), 6 EC
Application domain 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
- Scientific Computing (UvA), 6 EC
Application domain Computational Biology
- Bioinformatics Project (UvA), 6EC
- Fundamentals of Bioinformatics (VU), 6EC
- Algorithms in Sequence Analysis (VU), 6EC
- Bioinformatics Project (UvA), 6EC
- Bioinformatics for Translational Medicine (VU), 6EC
Application domain Computational Biomedicine
- From Physics to Physiology (VU), 6 EC
- Parameter Estimation Applied to Medical & Biological Science (VU), 6 EC
- Biomolecular Simulations (UvA), 6 EC
Application domain 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
- Advanced Computational Condensed Matter (UvA), 3 EC
Application domain High Performance Computing
- Programming Large-scale Parallel (VU), 6 EC
- Distributed Systems (VU), 6 EC
- High Performance Computing and Big Data (UvA), 6 EC
- Parallel Programming Practical (VU), 6EC
Application domain 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
Application domain Scientific Computing, Numerical Math
- Parallel Algorithms (UvA), 8EC
- Numerical Methods for Time-Dependent Partial Differential Equations (UvA), 8 EC
- Scientific Computing (UvA), 6 EC
Application domain Complex Systems
- Physics of Complex Systems: Dynamics and Chaos (UvA), 6EC
- Stochastic Simulation (UvA), 6 EC
- Theory of Complex Systems (UvA, 6 EC)