Master of Science in Electrical Engineering and Information Technology — Specialisation: Communication Systems

Ruhr Universitat Bochum · Bochum, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
Bochum
Apply by
Register by 1 September 2026 + 3 more
Starts
Winter and summer semester

Ruhr Universitat Bochum 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
Applicants who have a Bachelor's degree in electrical engineering and information technology, or a comparable degree from a scientific university consisting of at least six semesters of study (three academic years, 180 ECTS) may be admitted to the Master's programme. The equivalence or comparability of the degree is determined by the examination board. The Bachelor's degree submitted must include methodological and research-oriented content totalling at least 25 CP from the field of mathematics and at least 50 CP from the fields of information technology or electrical engineering / electronics.
English language requirement
B2 required, please provide an official language certificate, e.g.: UNIcert® English: UNIcert® II IELTS Academic: 6 TOEFL iBT (since 2026): 4.5 TOEFL iBT (before 2026): 85 PTE Academic: 55
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: EU countries For the winter semester: until 1 September The following is valid for applicants from: EU countries For the summer semester: until 1 March The following is valid for applicants from: non-EU countries For the winter semester: until 15 July The following is valid for applicants from: non-EU countries For the summer semester: until 15 January
Apply through
Please check this website .

About this programme

The goal of the specialisation in Communication Systems is to train graduates who are familiar with the diverse methods and techniques of communication engineering, machine learning, optimisation and data science, and who can appropriately select and apply those most suitable for a given application. The following areas of study are of particular importance: Systems thinking: Knowledge of methods for describing linear and non-linear (physical) systems, theory of signals, information processing and machine learning, analysis and simulation methods, principles of human-to-human and human-system interaction. Problem-solving approaches combined with application-oriented examples: theoretical and practical knowledge of components, devices, and systems; transmission methods; all types of signal processing from source to sink; methods of fault diagnosis and fault tolerance. Tools and resources: Sound programming skills at both macro and micro levels (software engineering), statistical methods, optimisation techniques, machine learning methods and software frameworks, knowledge of computer architectures and methods for circuit analysis, synthesis, and simulation Interdisciplinarity: Applications in medical technology, acoustics and acoustic signal processing, methods of control engineering, basic knowledge of management/logistics and economics, and understanding the interactions of people, technology, and organisations This specialisation is based on the following mandatory courses:

Related pages

Other degree programmes at Ruhr Universitat Bochum