Applied Mathematics for Network and Data Sciences (English) - Master

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 Faculty  Applied Computer Sciences & Biosciences
 Responsible  Department of Mathematics
 Field of studies  Applied Mathematics for Network and Data Sciences
 Final exam  Master of Sciences, M.Sc.
 Start of studies  September
 Duration  4 semesters (full-time)
 Language  English
 No German language skills required!
 Optional further
 education
 Ph.D.
 Entrance limitation  none
 Credits  120
 Accreditation  ASIIN e.V. and Accreditation Council (before
 changing the name of the study programme)

Background

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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.

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Documents and Links

 

Course Guidance/Dean of Study

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Peter Tittmann
Tel. 03727 58-1033
Fax 03727 58-1315
tittmann@hs-mittweida.de
Haus 6, 6.01.26

 

Course Guidance/Student Advisory

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Klaus Dohmen
Tel. 03727 58-1135
Fax 03727 58-1315
dohmen@hs-mittweida.de
Haus 6, 6.01.27

 

Academic Advising for International Students

Saskia LanghammerLanghammer.jpg
Tel. 03727 58-1737
Tel. 03727 58-1736
Fax 03727 58-2-1739
langhamm@hs-mittweida.de
http://www.hs-mittweida.de/ausland

Europaeischer Hof, room 207