Computational Science

University of Regensburg

Germany, Regensburg

University RankQS Ranking

749

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University of Regensburg

Germany , Regensburg

Key Facts

Program Level

Bachelor

Study Type

Full Time

Delivery

On Campus

Campuses

Regensburg

Program Language

English

Start & Deadlines

Next Intake Deadlines10-Jan-2021

Go to the official application for the university

Duration 2 year(s)

Next Intake 10-Jan-2021

Computational Science

About

Our Master's programme in computational science is an interdisciplinary programme.Â You can do a Master's thesis in one of these three fields: genomicsÂ (bioinformatics) physics mathematics It is a scientific programme withÂ a strong focus on research, theoretical and computational methods.Â In the Master's in â€œComputational Scienceâ€, you will gain the qualification to carry out independent research work. In this flexible programme, you will strengthen your knowledge and skills depending on the areas of interest. After passing your exams, you will be awarded with a Master of Science degree. The Master of Science in Computational Science corresponds to the focus of the University of Regensburg with respect to high performance computing. Students will learn a variety of techniques that are relevant not only for research and development but also for academic careers. The use of computational methods, especially high performance computing, is of great importance. The programme takes an interdisciplinary approach; it is a collaboration of the departments of physics, medicine and mathematics. Simulations in high energy physics and solid state physics as well as mathematicsÂ employ a variety of cutting edge computing techniques. Analysis of large data sets form the backbone of research in genomics and bioinformatics.Â Students will choose a primary subject to focus on, but they will also take courses from another subject to broaden their understanding of science.

Requirements

Entry Requirements

Bachelor's degree in physics, mathematics, or biochemistry Programming skills and at least one of: proficiency in mathematics, e.g.,Â numerics, functional analysis (calculus for engineers is not sufficient) proficiency in physics, especially quantum mechanics and numerical methods proficiency in medicine, especially genomics and bioinformatics