Short profile

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Graduation
Master of Science
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Restrictions on admission
NC-free
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Standard period of study
4 semester
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Start of studies
October 1
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Requirement for admission
Bachelor's degree in a similar field
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Credit points
120
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Teaching language
English

Description

The Master of Science in Communications and Signal Processing (CSP) is open to applicants from all over the world. The lecture language is English. The two-year program starts with some basic lectures, which brings students from all over the world to a common level of knowledge. With this background, students are well prepared for the in-depth lectures of the 2nd and 3rd semesters. Students are motivated to deepen and work on the tasks discussed in the lectures at home. Homework and student research projects promote academic work and offer research and development opportunities as well as the chance to work in groups.
In the projects, students have the opportunity to apply their knowledge of from mathematics, the natural sciences and engineering disciplines and engineering disciplines and learn working methods, skills and modern  skills and modern engineering tools.

The CSP program teaches fundamental concepts such as information theory, coding, modulation, (convex) optimization methods, compressed sensing, tensor-based signal processing, multimodal data fusion, machine learning, data analysis, parameter estimation, array signal processing, adaptive filters and many other applications that open up career paths in various fields. Graduates work in areas such as data science, future systems for data transmission, channel modeling, antenna design, connected/autonomous vehicles, radar/sonar, wearable technologies, audio coding, hearing aids, multimedia systems, biomedical signal processing, brain-computer interfaces, better medical scans, biometric security, big data, securities price analysis and more.

Application with German certificates and from educational institutions within the EU / EEA

Application with certificates from educational institutions outside the EU / EEA

Why Ilmenau?

The course is unique in Europe. There are only a few English-language Master's degree courses with a comparable focus. Degree courses with a focus on pure data processing are often offered by computer science departments and focus less on the aspects of data transmission.

 

Veeraiah studiert Communications and Signal Processing an der TU Ilmenau

 

Image film Communications and Signal Processing (M.Sc.)

Content of study

Informatics and Communication Systems

19 %

Communiacation Engineering

16 %

Signal Processing

13 %

High Frequency and Measurement Engineering

9 %

Media Technologies

9 %

Non-technical courses

3 %

Research projects and Thesis

31 %
Detailed subject overview: Curriculum of the Master's Program Communications and Signal Processing (Module List)

Fields of work

  • 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
Drei Personen sitzen auf dem Rand eines Brunnens und schauen gemeinsam auf ein Tablet und füllen eine Online-Bewerbung für das Studium an der TU Ilmenau aus. Im Hintergrund sind verschwommen Gebäude der TU Ilmenau zu sehen.Michael Reichel (ari)
Studierende auf dem Campus der TU Ilmenau.TU Ilmenau /Michal Reichel (ari)
Studierende gemeinsam am TischTU Ilmenau / Michael Reichel (ari)

Contact

Programme coordinator

Study organisation

Marko Hennhöfer

+49 3677 69-2506