Master of Science in Communications and Signal Processing

Technische Universität Ilmenau · Ilmenau, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
Ilmenau
Apply by
<p>Please visit: <a href="https://campus.tu-ilmenau.de/apply">https://campus.tu-ilmenau.de/apply</a></p>
Starts
Winter semester

Technische Universität Ilmenau does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.

Entry requirements and how to apply

Entry requirements
Bachelor's degree (at least six semesters / 180 CP) in one of the following disciplines: electrical engineering information technology media technology or similar courses Basic knowledge in the following subjects is required: information theory and communications engineering digital signal processing signal and system theory telecommunications and networks linear algebra random processes, stochastics Basic programming skills (Matlab/Octave or Python): variables, basic operators, conditional statements, loops, arrays, functions, etc. One semester abroad is recommended for applicants with German as a native language before the start of their studies.
English language requirement
C1 required, please provide an official language certificate, e.g.: IELTS Academic: 7 PTE Academic: 76 TOEFL iBT (since 2026): 5 Reading: 5 Listening: 5 Speaking: 5 Writing: 5 TOEFL iBT (before 2026): 95 Reading: 24 Listening: 22 Speaking: 25 Writing: 24 Cambridge English Qualifications: C1 Advanced TOEIC: 945 Reading: 455 Listening: 490 Speaking: 180 Writing: 180
German language requirement
No minimum language level required
Application period
Please visit: https://campus.tu-ilmenau.de/apply
Apply through
Please check this website .

About this programme

This international research-oriented graduate programme at TU Ilmenau is an excellent preparation for research and development positions in international companies and post-graduate studies. It is a unique AI (artificial intelligence) engineering programme with domain knowledge in communications and signal processing. The study programme focuses on communications and signal processing with an emphasis on the following fundamental concepts: information theory, coding, modulation optimisation techniques, compressed sensing tensor-based signal processing, multi-modal data fusion machine learning, data analytics parameter estimation, array signal processing, adaptive filters It also focuses on the following applications: future wireless systems, channel modelling, antenna design connected / autonomous vehicles, radars / sonar audio coding, hearing aids, multimedia systems, wearable technologies, modern entertainment biomedical signal processing, brain / computer interfaces, better and safer medical scans, biometric security big data, stock valuation and prediction This leads to rewarding career opportunities. The first semester starts in October (every winter semester). This programme has a strong focus on cutting-edge research. The courses provide a detailed insight into modern communication technologies from the physical layer to the application layer. Challenging problems in radio propagation, hardware and algorithm design, protocols and applications are addressed in class as

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