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)
• Advanced Computer Networks (VU, 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

• Advanced topics in Computational Finance (UvA, 6 EC)
• CED 1: Learning, Stability and Chaos (UvA, 5 EC)
• CED 2: Optimal Control and Environmental Tipping (UvA, 5 EC)
• 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)
• Uncertainty Quantification (UvA, 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)

Application domain Computational Social Science

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

Application domain Scientific Computing, Numerical Math

• Numerical Algorithms (UvA, 6 EC)
• Numerical Linear Algebra (UvA, 8 EC)
• Uncertainty Quantification (UvA, 6 EC)
• Scientific Computing (UvA, 6 EC)

(Course choices in consultation with the specialisation coordinator)

Application domain Complex Systems

• Stochastic Simulation (UvA, 6 EC)
• Agent-based Modelling (UvA, 6 EC)
• Theory of Complex Systems (UvA, 6 EC)
• Complex System Simulation (UvA, 6 EC) 
• Physics of Complex Systems: Dynamics and Chaos (UvA, 6EC)