Study Type

graduate

Admission semester

Summer and Winter Semester

Focus

Computational Science, High Performance Computing, Big Data, Simulation Science, Machine Learning, Computational Physics, Medical Photonics, Computational Chemistry, Computational Finance

Target group

The degree course is aimed at graduates with a first professionally qualifying certificate of academic degree in degree programmes in the field of the Natural and Engineering sciences, Computer Science, Mathematics, Bioinformatics, Business Informatics, Business Mathematics or subject-related study programmes and equivalent to a Bachelor's degree amounting to 180 credits at a university or equivalent higher education institution in Germany or abroad.

Admission modus

Without admission restriction

More information regarding admission requirements

Admission requirements

A subject related requirement is proof of a degree in the field of engineering or natural sciences, in particular computer science, mathematics, bioinformatics, business informatics or business mathematics. At least 21 credit points in linear algebra, analysis, stochastics and numerics and at least 18 credit points in programming, algorithms and data structures are required. In principle, an interest in interdisciplinary contexts and a corresponding degree of prior interdisciplinary knowledge in computer science, mathematics, natural sciences or engineering is expected. A very good knowledge of English is also indispensable for the course. International applicants must provide proof of German language proficiency at the level of the DSH examination (min. level 2), the TestDaF (TDN 4x4) or a recognised equivalent.

Tuition fees

More information regarding tuition fees