Communications and Signal Processing (M.Sc.)

Short Profile

Abschluss
Master of Science

Zulassungsbeschr?nkung
none | individual acceptance

Regelstudienzeit
4 semester

Studienbeginn
1. Oktober

Lehrsprache
English

Leistungspunkte
120

Zulassungsvoraussetzung
Bachelor's degree in a similar field

Bewerbung
15.01. - 31.05.

Description

Communications and Signal processing is one of the key technologies of the 21st century. The fast development of economy and society requires modern and high-performance communications systems. To develop such systems, which achieve channel capacities close to the boundaries obliged by the laws of nature, smart signal processing algorithms are required.

The master program in Communications and Signal Processing brings the students up to date with the hot topics in this area and provides the opportunity to get a deep insight into specific topics depending on the students’ interest, e.g., by students projects.

This program is designed for international Engineering graduates (BSc or equivalent) who would like to get an in-depth understanding of communication systems on all layers and their associated signal processing algorithms, starting from the physical layer, including antenna and microwave engineering up to the application layers, including communication networks and multimedia systems. Along with the theoretical education, the students will gain practical experience by research projects which are an important preparation for the challenging demands in the communications industry. All courses of this master program are held in English.

Fields of Study

19 %
Computer Science and Communication Systems
16 %
Communiacation Engineering
13 %
Signal Processing
9 %
High Frequency and Measurement Engineering
9 %
Media Technologies
3 %
Non-technical courses
31 %
Research projects and Thesis

Fields of Activity

  • Research and development for modern communication systems

  • Planning of mobile communication networks

  • Improving performance of communication systems

  • Development and verification of algorithms

  • Verification of theoretic results via measurements

  • System design including antennas, radio frequency electronics, decoding algorithms and applications

Further Information

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