Master in Scientific Computing

The Scientific Computing Master's programme at the University of Bayreuth is an international programme for students working at the intersection of mathematics, computer science, and application fields. It covers the full workflow of scientific computing: modelling, mathematical and numerical analysis, statistical analysis, optimisation, implementation of algorithms on high-performance computers, and visualisation of results. The programme engages with areas such as numerical methods for differential and integral equations, data analysis, stochastic models, and high-performance computing. The curriculum is organised around four main areas: numerical mathematics, modelling and simulation in disciplines including biophysics, biocomputer science, chemistry, engineering sciences, and climate and environmental sciences, high-performance computing, and scientific computing methods such as complexity reduction, fast and efficient methods, mesh-free methods, data analysis, uncertainty quantification, and optimisation methods in machine learning. Each year includes a modelling seminar in the summer semester and a status seminar in the winter semester; students must attend two of each. An industrial internship, a practical course in parallel numerical methods, and a module on key skills are required elements. The programme concludes with a Master's thesis on an individual research project. The programme spans 4 semesters and admits students in both winter and summer semesters. It is an elite degree programme supported by the Elite Network of Bavaria and offers special financial support and intensive supervision. Very talented students may combine the programme with a fast-track doctorate. The programme is based at the University of Bayreuth in Bayreuth, Germany.