Applied Mathematics for Network and Data Sciences

With the Master's degree in Applied Mathematics for Network and Data Sciences, we aim to open up prospects for young people for challenging scientific or practical work in the field of mathematics and its applications in an increasingly technical, digital world. The focus is on the training of mathematicians who work at the interface to computer science and information technology and who are able to quickly and effectively solve difficult and complex mathematical problems in the digital media environment using computers. The course promotes the development of independent and creative working methods and conveys the ability for lifelong learning, teamwork and interdisciplinarity.

The enormous technical progress during the last two decades resulted in highly innovative products and services that more than ever before are based on mathematical achievements. Modern mathematics is at the heart of an increasing number of innovations in the field of digital communication, satellite navigation, e-commerce, medical technology, and consumer electronics. Without modern mathematics there would be no navigation system, no mobile phone, no secure payment on the internet, no digital TV, and no MP3 player. Also there would be no efficient web search, no Blu-ray discs and no digital rights management (DRM). Modeling and simulation of computer and communication networks as well as social network analysis are also based on profound mathematical knowledge and methods. Current and previous developments in these highly innovative fields have led to a new understanding of mathematics. Modern mathematics is not only an auxiliary science for other sciences to solve technical and economic problems; nowadays it is considered as an independent, genuine technology. Its main characteristics are its algorithmic and technology-driven approach, combined with industrial relevance and innovation. The goal of this Master's degree programme in Applied Mathematics is to pursuade young people to participate in these ongoing developments in a most competent and comprehensive way and to give them a promising perspective for an academic or professional career in the field of mathematics and its applications to digital media.