Scientific Computing (Wissenschaftliches Reсhnеn)

Above-average degreе.

Students with prior education in (applied) mathematics:
These students are expected to have a strong background in theory and applications of applied mathematics (Numerics, Statistics, Differential Equations (ODE, PDE)). To succeed in the program, additional formal education in computer science with a focus on modern programming structures (data, algorithms) is essential. Solid command of a major programming language is also a must.

Students with prior education in computer science:
These students should have a focus on practical applications of programming, the construction of complex code, and the generation of efficient computational methods including data handling. Since the program asks all students to take master courses in mathematics as well, these applicants need an above-average background in mathematical education, not only in calculations but in the theory of mathematics, construction of proofs, and the formal methods of mathematical science.

Students with prior education in applications (engineering, economics...):
Application for these candidates is very challenging: They must provide mathematical education that exceeds the regular course work (mathematics for engineers I-IV) including probability & statistics, numerical analysis... AND have a proven record of practical computer science in the direction of systematic algorithmic design and implementation in at least one major programming language (C++, Java, C, Python...).

In general, candidates need to prove that they understand the mathematical theory and can build programs themselves that implements this theory in practical applications. Just being able to "use existing software" es not enough to make the сut.