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Electrical Engineering and Information Technology● OpenMastersPreview

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

A research-focused master’s programme in Bochum, Germany, blending communication engineering, machine learning, and data science for cutting-edge innovation.

Best for:Best for students with a bachelor’s in electrical engineering or related fields who seek advanced training in communication systems, machine learning, and data science with hands-on research experience.

Ruhr-Universität Bochum · Bochum, Germany
More professors at Ruhr-Universität Bochum
Communication SystemsDigital Signal ProcessingWireless CommunicationsMachine Learning ApplicationsOptimisation TechniquesData Science in Engineering
This is a masters position — not a PhD studentship.
Deadline
Register by 1 September 2026 + 3 more
Funding
Unfunded
None (tuition fees)
Start date
Winter or summer semester (flexible)
Full-time
Location
Bochum
Germany

Overview

This specialised master’s programme at Ruhr-Universität Bochum focuses on training graduates in communication systems, integrating advanced methods from communication engineering, machine learning, optimisation, and data science. Students develop expertise in systems thinking, problem-solving, and interdisciplinary applications across medical technology, acoustics, and control engineering. The curriculum combines core courses like digital signal processing and wireless communications with elective modules, research seminars, and hands-on lab work. The programme culminates in a six-month master’s thesis, allowing students to independently tackle complex engineering challenges. It is fully taught in English, with optional German-language electives, and supports international students through study-abroad opportunities and career services.

Electrical EngineeringInformation TechnologyCommunication SystemsMachine LearningData ScienceSignal ProcessingResearch-Oriented Master’sInterdisciplinary Engineering

What you'll do

  • Complete 120 ECTS credits over four semesters, including compulsory and elective courses in communication systems, machine learning, and data science.
  • Engage in hands-on research through seminars and laboratory practicals in state-of-the-art facilities.
  • Develop a master’s thesis over six months, applying advanced technical and interdisciplinary skills to solve complex engineering challenges.
  • Participate in interdisciplinary electives, broadening expertise in areas like medical technology, acoustics, and control engineering.
  • Present research findings in a colloquium lecture, demonstrating technical and communication skills.
  • Optionally study abroad for one or more semesters through partnerships with international universities.

Requirements

Degree required: Bachelor’s degree in electrical engineering, information technology, or a comparable scientific field with at least 180 ECTS credits (equivalent to six semesters). The degree must include at least 25 ECTS in mathematics and 50 ECTS in information technology or electrical engineering/electronics.

Degree offered: Master of Science in Electrical Engineering and Information Technology

Language: English; B2 level or equivalent (e.g., UNIcert® II, IELTS 6.0, TOEFL iBT 85, PTE Academic 55)

Instruction: English (with optional German-language electives)

Required skills
  • Strong programming skills at both macro and micro levels (software engineering)
  • Familiarity with statistical methods and optimisation techniques
  • Knowledge of computer architectures and circuit analysis/simulation methods
  • Basic understanding of management, logistics, and economics in a technical context
  • Proficiency in English at B2 level or equivalent (certified)
Nice to have
Experience with machine learning frameworks and software toolsPrior research or project work in communication systems or signal processingFluency in German (for optional German-language electives)
Eligibility
  • EU applicants: Deadline for winter semester is 1 September; for summer semester, 1 March.
  • Non-EU applicants: Deadline for winter semester is 15 July; for summer semester, 15 January.
  • No German language skills required for admission.

Funding & terms

Type
Unfunded
Amount
None (tuition fees)
Duration
4 semesters (2 years)
Programme
Ruhr-Universität Bochum (scholarships available, e.g., Deutschlandstipendium)
Ruhr-Universität Bochum (scholarships available, e.g., Deutschlandstipendium)

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
Not confirmed by the source
Tuition
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Funding
Not confirmed by the source

How to apply

Deadline: 1 September (EU, winter semester), 1 March (EU, summer semester), 15 July (non-EU, winter semester), 15 January (non-EU, summer semester)

Applicants must submit their application through the university’s international application portal for master’s degrees. Required documents include a bachelor’s degree certificate, transcripts, proof of English proficiency, a CV, and a letter of motivation. Non-EU applicants may also need to provide proof of health insurance and a visa application if required.

Documents required
  • Bachelor’s degree certificate
  • Transcripts of academic records
  • Proof of English proficiency (B2 level or equivalent)
  • Curriculum Vitae (CV)
  • Letter of motivation
  • Proof of health insurance (for non-EU applicants)
  • Visa application (if applicable, for non-EU applicants)
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Contact

International Office· Application Support

https://international.ruhr-uni-bochum.de/en

Lab
Communication Systems Specialisation
Ruhr-Universität Bochum
Germany
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