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Computer Science and Electrical Engineering (Interdisciplinary ICT)● OpenMastersPreview

Master of Science in Information and Communication Technology (ICT)

Interdisciplinary MSc programme blending computer science, electronics, and embedded systems for cutting-edge innovation in Erlangen.

Best for:Best for students with a strong background in engineering mathematics, signals, and systems who are passionate about embedded systems, digital communication, and interdisciplinary tech innovation.

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) · Erlangen, Germany
More professors at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
embedded systemsdigital communicationnetworked technologieswireless transmission systemscommunication protocolsmobile communication systems
This is a masters position — not a PhD studentship.
Deadline
Register by 15 July 2027 + 1 more
Funding
Unfunded
Tuition fees vary; semester contribution: 82 EUR; processing fee for non-EU applicants: 100 EUR (winter semester 2026/27).
Start date
Winter or summer semester (flexible entry points).
4 semesters (full-time) or flexible for part-time study.
Location
Erlangen
Germany

Overview

The Master of Science in Information and Communication Technology (ICT) at FAU Erlangen-Nürnberg is a four-semester programme designed for students seeking expertise in the intersection of computer science and electronics. Located in a region renowned for its collaboration between academia, industry, and research institutes—including Fraunhofer Institutes and global companies—this programme focuses on embedded systems, digital communication, and networked technologies. Students engage in hands-on research projects, such as the federally funded *Communicating Cars* initiative, while benefiting from a curriculum that combines mandatory modules in embedded systems, networks, and media processing with elective courses across engineering and computer science disciplines. The programme emphasizes interdisciplinary collaboration, preparing graduates for careers in tech-driven industries and research.

ICT engineeringembedded systems developmentdigital communication protocolsnetworked systemsinterdisciplinary tech researchMATLAB programmingC/C++ programmingsignal processing

What you'll do

  • Complete mandatory modules in embedded systems, networks, and digital communication to build foundational expertise.
  • Choose elective modules from electrical engineering, computer science, or broader engineering/science disciplines to tailor your specialization.
  • Participate in a lab course to gain hands-on experience with embedded systems and communication technologies.
  • Conduct a research project aligned with current faculty initiatives, such as the *Communicating Cars* project.
  • Write and present a master’s thesis on a topic of your choice, supervised by faculty members.
  • Engage in an optional Erasmus+ or GE4 study abroad programme to collaborate with international partners.
  • Develop intercultural skills through integrated training and participate in international research collaborations.

Requirements

Degree required: Bachelor's degree in Computer Science, Electrical Engineering, Electronics, or a closely related field (e.g. Information Technology, Communications Engineering).

Language: English proficiency at B2 level (IELTS Academic: 6.0, TOEFL iBT: 80, or equivalent). No German language skills required.

Instruction: English (with some courses in German; international students attend fully English-taught courses).

Required skills
  • Proficient knowledge of engineering mathematics (linear algebra, complex analysis, differential equations, Fourier/Laplace/z-transforms).
  • Familiarity with signals and systems (e.g., Oppenheim/Willsky textbook).
  • Understanding of communication systems (e.g., Haykin’s *Communication Systems*).
  • Knowledge of stochastic processes (e.g., Pillai/Papoulis textbook).
  • Experience with digital signal processing (e.g., Oppenheim/Schafer’s *Discrete-Time Signal Processing*).
  • Proficiency in MATLAB and programming languages (C/C++, Java).
  • Basic knowledge of digital circuit design and algorithms/data structures.
Nice to have
Experience with embedded systems development or hardware prototyping.Prior exposure to wireless communication protocols or IoT technologies.Familiarity with open-source embedded software ecosystems (e.g., Linux for embedded systems).Research experience in collaborative interdisciplinary projects.
Eligibility
  • Open to applicants from all countries.
  • No residency or age restrictions.
  • No prior work experience required.

Funding & terms

Type
Unfunded
Amount
Tuition fees vary; semester contribution: 82 EUR; processing fee for non-EU applicants: 100 EUR (winter semester 2026/27).
Duration
4 semesters (full-time) or flexible for part-time study.
Programme
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

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
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Tuition
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How to apply

Deadline: 15 April – 15 July (winter semester); 15 September – 15 January (summer semester)

Applicants must submit their application through the FAU’s online portal, Campo. Required documents include academic transcripts, proof of English proficiency, a CV, and a letter of motivation. Non-EU applicants must also provide proof of health insurance and, in some cases, a visa application. The portal guides users through the submission process step-by-step.

Documents required
  • Bachelor’s degree certificate and transcripts
  • Proof of English proficiency (e.g., IELTS/TOEFL certificate)
  • Curriculum Vitae (CV)
  • Letter of motivation
  • Passport-sized photograph
  • Proof of health insurance (for non-EU applicants)
  • Visa application (if applicable)
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Contact

International Office, FAU Erlangen-Nürnberg· Admissions Contact

https://www.fau.eu/studying/international-students/

Lab
Fraunhofer Institutes for Integrated Circuits (IISB) and Integrated Systems and Device Technology (IISB); Collaborative research projects (e.g., *Communicating Cars*)
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Germany
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