occupational fields

With the enormous increase in computer performance and ever closer networking, the role of mathematics in engineering is also growing continuously. In almost all companies, process optimisation and problem solving now require smooth collaboration between mathematicians, computer scientists, natural scientists and engineers. It is precisely for this environment that you will acquire expert knowledge, practical expertise and soft skills. This will open up a wide range of attractive positions for you after completing your degree. Areas of work in industry and research include, for example

> Simulation and optimisation
> Product development
> Statistical quality control
> Software development
> Consulting for information technologies

Data is the raw material of digitalisation and its intelligent processing is of paramount importance for economic progress. Data science is the interdisciplinary science with which this data is ultimately utilised. Applications range from patient data to the efficient design of the energy transition and the prediction of purchasing behaviour.

"Data is the blood in the veins, mathematics and computer science are the heart that brings the blood to life," says Prof Dr Christof Schelthoff. The link between mathematics and computer science is becoming increasingly important due to the constantly growing amount of data. Evaluating and analysing the information contained therein efficiently is the core task of the discipline of data science. In order to take account of the importance of this discipline and to meet the growing demand for qualified young talent in this field, Data Science is offered as a specialisation within the degree programme. It opens up a wide range of development opportunities for students, from Bachelor's and Master's theses to doctorates.