Applied Mathematics for Network and Data Sciences
|Course of studies||Applied Mathematics for Network and Data Sciences|
|Academic degree||Master of Science|
|Regular study period||4 Semesters|
|Type of study||
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.
Graduates of the master's programme have in-depth theoretical and practical knowledge in various fields of applied mathematics which are essential to the design and operation of digital media; in particular they have in-depth knowledge in automata theory, coding theory, cryptology, mathematical network analysis, stochastic modeling, computational intelligence as well as simulation and visualization. They are qualified to acquire new knowledge from other fields of mathematics and computer science by themselves, to recognise future scientific and technological trends and to incorporate them into their academic or professional work.
The graduates have an outstanding ability to abstract, conceptual, logical,
structural and algorithmic thinking. They are able to formulate mathematical
hypotheses, and prove or disprove them. They have excellent programming skills and in addition, a very deep understanding of the underlying mathematical structures and algorithms. They are qualified to cooperate interdisciplinarily with computer scientists and engineers in programming projects, and take over the project management in such projects.
Graduates are capable of reading mathematical research literature in
English. They are able to use the international mathematical language both in speech and writing, and to present their results in mathematical texts and lectures and by using modern communication media at a high level of
expertise. Their style of academic and professional work is characterized by
persistence and perseverance. They are qualified to work scientifically on an independent basis, to join academic and public institutions, and to prepare for a PhD in mathematics or computer science.
There is hardly a discipline where the job opportunities are as diverse and prospective as in mathematics. Mathematics is and still remains a subject of high job guarantee. Today, research labs of the high-tech and IT industry are employing an increasing number of mathematicians because of their analytical and methodological skills. Branches in which graduates are able to act are among others:
- software development,
- microelectronics/consumer electronics,
- social sedia,
- automotive industry/telematics provider,
- medical technology,
- public service,
- research and development,
- teaching and training.
Due to the width of the programme, graduates can also become active in consulting firms as well as banks and insurance companies.
After accreditation, the Master's degree grants access to the higher public service in Germany (safety authorities, statistical offices etc.).
Self-test for applicants
As an applicant, you can put your knowledge to the test with the following collection of tasks. Try independently to solve the problems presented here.
Then you can compare your solution approaches with the solution sheet.
Admission requirements & Application
Applications for the Master's degree programme Applied Mathematics for Network and Data Sciences is possible for applicants who own at least a bachelor's degree in Mathematics or Theoretical Computer Science. German language skills are not required.
More informations are available on this webpage: Application instructions for international applicants
Contact for international applicants
Mrs. Simone Natzschka
Phone: +49 3727 58-1269
Fax: +49 3727 58-21269
Application deadline for the winter semester is May 15. Later applications are accepted if there are free places and if, based on our experience, there is a chance for the applicant to to arrive on time for the studies.
Note: Applications are to be submitted via uni-assist.