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Master
English

Communications and Signal Processing

Ilmenau University of Technology

Duration

4 semesters

Language

English

Tuition

No tuition fee

Deadline

See university

About this program

The Master of Science program in Communications and Signal Processing (CSP) is accessible to applicants from all over the world. The language of instruction is English. The two-year program begins with some fundamental lectures, bringing 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 scientific work and offer research and development opportunities as well as the chance for group work. In the projects, students have the opportunity to apply their knowledge from mathematics, natural sciences, and engineering disciplines, as well as to learn practice-relevant working methods, 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, for example, in the fields of data science, future data transmission systems, channel modeling, antenna design, networked/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, stock price analysis, and much more.

Study mode

Full-time

ECTS

120 ECTS

Campus

Ilmenau

English-taught

100%

Specializations

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
Data Science
Future Data Transmission Systems
Channel Modeling
Antenna Design
Networked/Autonomous Vehicles
Radar/Sonar
Wearable Technologies
Audio Coding
Hearing Aids
Multimedia Systems
Biomedical Signal Processing
Brain-Computer Interfaces
Medical Imaging
Biometric Security
Big Data
Stock Price Analysis

Career paths

Research and Development for modern communication systems
Planning of mobile communication networks
Improvement of communication system performance
Development and verification of algorithms
Verification of theoretical results through measurements
System design including antennas, high-frequency electronics, decoding algorithms and applications
Data Science
Telecommunications
Automotive
Medical Technology
Security
Finance

Program details

  • Thesis required
  • Study abroad possible
  • Double degree available
  • PhD track possible

Required documents

General requirements for Master programs in Germany. Program-specific requirements are shown once you start a journey for this program.

  • Certified copy of Bachelor's degree certificate
  • Certified translation of Bachelor's degree certificate
  • Certified transcript of records (all semesters)
  • Valid passport (photo page copy)
  • Tabular curriculum vitae (CV)

Academic requirements

Recognized prior bachelor's degree

A completed bachelor's (or equivalent) that the university recognizes for master's admission. Check anabin and the specific program. Dreemli does not issue denklik or admission decisions. Recognition is decided by anabin, uni-assist, and/or the university.

Frequently asked questions

Static answers for the most common questions about applying to this program.

Country & application steps

Step by step, from choosing a federal state to your residence permit in Germany.

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