Computational Mathematics, B.Sc.

Mathematics does not convey views that need to be interpreted. It is based on objective facts and logical conclusions. In the course of the course, a feeling for the essentials is developed. This goes hand in hand with the development of the ability to apply mathematical methods and structured thinking to complex problems.

Mathematics can be roughly subdivided into pure and applied mathematics, with the core competencies just listed playing an equally important role in all sub-areas of mathematics.

The areas of applied mathematics usually have direct contact with other scientific disciplines: Numerical mathematics and optimization, for example, are widely used in engineering. Methods of mathematical statistics are indispensable in medical research or in finance.

The areas of algebra and number theory, analysis and function theory and geometry are usually counted as pure mathematics. However, the demarcation to applied mathematics does not mean for the departments just mentioned that their contents cannot also be highly relevant for the “real world”. It often turns out that parts of the abstract theories developed later (sometimes hundreds of years later) find surprising applications. Geometric considerations on the sphere play an important role in determining the most time- and fuel-efficient route for intercontinental flights. The results of number theory are the basic requirement for modern cryptography (which in turn makes secure Internet connections possible in the first place, for example).

The consecutive Bachelor-Master degree course in Computational Mathematics combines, in contrast to other degree programs in mathematics, a mathematics education oriented towards natural and engineering sciences with a suitable application orientation. In addition to the mathematical core competencies already mentioned, the graduates are provided with a corresponding specialist qualification, which at the same time gives an insight into the world of thought and problems in engineering and natural sciences.

With their training, graduates acquire core competency in the development and application of mathematical methods that is well above the mathematical competency of graduates in engineering or natural science courses. At the same time, you have an insight into the world of thought and problems in engineering and natural sciences. On this basis, they become sought-after members of work teams in these areas and can contribute their core mathematical skills in an excellent way.

... are awarded to mathematicians regardless of the economic cycle. According to STERN, "Germany's unemployed mathematicians have room in a public bus". A completed degree in mathematics (regardless of whether it is computational mathematics, mathematics, business mathematics or mathematical physics) certifies the graduate's ability

• To be able to familiarize oneself quickly with complex relationships,
• identify the core of a problem and separate the unimportant,
• to find creative solutions,
• to use profound mathematical expertise that is not available to graduates of other courses.

This, possibly paired with visible knowledge of the needs of the "mathematics users", as they are through the choice of the integrated application subject in mathematics, for the economy and finance sector through business mathematics, for applications in natural and engineering in computational mathematics or, for the needs of physics, in mathematical physics, usually results in the ticket to a crisis-proof job.

Occupational fields

Mathematicians mainly work in companies that offer or use information and communication technology products and services, be it directly in the IT industry (e.g. software and system houses) or in specialist and service departments of Companies and Institutions. In addition, they work in branches of the economy that increasingly use mathematical principles for their decision-making, e.g. insurance companies, banks, market and opinion research institutes and management consultancies. You will find employment in engineering offices for technical planning and in public administration, e.g. at statistical offices. In research and development, they work in public and private research institutes and in development departments of companies, e.g. in mechanical engineering, biotechnology and vehicle technology. In addition, they can work at universities or in mathematical research.