International Programmes 2024/2025

Master's Degree Course in Electronics Engineering Master's Degree Course in Electronics Engineering

Bremen University of Applied Sciences • Bremen

Degree
Master of Science in Electronics Engineering
Teaching language
  • English
Languages

Courses are held in English (100%). Participants can choose to write their Master's theses in English or German.

Full-time / part-time
  • full-time
Programme duration
3 semesters
Beginning
Winter and summer semester
Additional information on beginning, duration and mode of study

Winter semester lectures start 14 October 2024 and end 1 January 2025.
Summer semester lectures start 7 April 2025 and end 11 July 2025.

All courses are taught in person and include intense practical lab work. Lectures are supported by blended learning methods.

Find more info: https://www.hs-bremen.de/en/study/degree-programme/electronics-engineering-msc/

Application deadline

Non-EU applicants for the following

  • winter semester: 15 April
  • summer semester: 15 October

via https://www.msc-ee.hs-bremen.de

EU applicants for the following

  • winter semester: 15 July
  • summer semester: 15 January

via https://campino.hs-bremen.de/qisserver/pages/cs/sys/portal/hisinoneStartPage.faces

Tuition fees per semester in EUR
None
Combined Master's degree / PhD programme
No
Joint degree / double degree programme
No
Description/content

The Master's degree course of study in Electronics Engineering comprises three course profiles:

  • Microsystems Engineering
    Content:
    • microstructuring of silicon
    • design of integrated circuits and systems
    • FPGA programming
    • mixed signal systems design
    • laser microprocessing
    • microsensors and microactuators
    • medical, environmental and automotive applications of microsystems
       
  • Intelligent Sensors and Instrumentation
    Miniaturised, intelligent and networked sensors and actuators are the basis for IIoT (industrial Internet of things), Industry 4.0 and numerous future applications with artificial intelligence. By integrating signal processing, inferential statistics, and AI methods at the sensor or edge level, it becomes possible to develop autonomous systems and efficient IIoT solutions.

    Content:
    • automated measurement and test
    • machine learning and pattern recognition
    • signal processing in measurement and instrumentation
    • optical sensors and
    • laser measurement
    • electrical measurement of non-electric quantities
    • IIOT concepts:
       
      • intelligent sensors:
        • incorporate signal processing capabilities
        • perform data preprocessing
        • communicate via a variety of interfaces
        • decide at machine/process level
        • reduce amount of data sent to cloud
        • sensors, machines, SCADA (supervisory control and data acquisition), ERP (enterprise resource planning) and humans are constantly connected
      • intelligent sensors use:
        • digital signal processing
        • machine learning
        • artificial intelligence
        • wired/wireless communication
           
  • Communication Systems Engineering
    Content:
    • satellite and wireless communications
    • optical communications
    • digital signal processing
    • microwave engineering
    • underwater acoustics and SONAR
Course organisation

Each semester comprises five modules, each with 6 ECTS credits. A workload of 30 hours corresponds to 1 ECTS credit.

Structure of the course of studies:

  • first semester, 20 contact hours/week: 30 credits
  • second semester, 20 contact hours/week: 30 credits
  • thesis semester: 30 credits

Hours per week represent contact hours in classes, seminars or laboratories. Each contact hour equals 45 minutes. Additionally, for each contact hour, students are expected to allocate 2 hours for self-paced studies.
Credits indicate student workload according to ECTS standards.
The course comprises three categories of modules:

  • Engineering core modules: compulsory modules, specific for each course profile
  • Economics and language modules: relevant for all three course profiles
  • Engineering required optional modules: selected to define the individual profiles

In general, the modules comprise lectures with integrated exercises in small groups, seminars, laboratory work and projects/case studies. Assessments usually take place at the end of each semester.

For the two semesters of teaching, the workload of 60 credits is distributed as follows:

  • engineering modules – 48 credits
  • economics and language modules – 12 credits
PDF Download
A Diploma supplement will be issued
Yes
International elements
  • International guest lecturers
  • Training in intercultural skills
  • Specialist literature in other languages
Integrated internships

None

Course-specific, integrated German language courses
No
Course-specific, integrated English language courses
Yes
Tuition fees per semester in EUR
None
Semester contribution

Approx. 400 EUR per semester

The fee includes a semester ticket covering public transportation in the Bremen metropolitan area.

Costs of living

Food and meals cost approx. 300 EUR per month. Warm food and snacks are less expensive at the university's cafeterias. Local transport is included in the enrolment fee. Students receive a semester ticket that allows for free access to buses, trams and regional trains servicing Bremen and the surrounding area. Academic expenses amount to about 30 EUR per month, and use of the university library (with three locations) is free of charge. Health insurance costs approx. 80 EUR per month. Living expenses amount to approx. 700 EUR per month (including rent).

Funding opportunities within the university
No
Academic admission requirements
  • Bachelor's or equivalent first academic degree in electrical engineering, electronics, information engineering, engineering physics, microsystems, mechatronics, instrumentation, computer science or related disciplines, relevant to the programme
  • a final grade corresponding to German grade "good" or "very good" (minimum 2.5) according to uni-assist VPD
  • International students are required to have a CGPA (Cumulative Grade Point Average) of at least 3.00/4.00 or 7.50/10.00, a first class degree or have graduated first class with distinction (for Indian universities with a percentage larger than 70%).
  • good knowledge of English (for details, please see language requirements)
  • basic knowledge of German (for details, please see language requirements)
  • references from two people in education or industry qualified to evaluate your ability and potential for graduate work (use our reference request form)
Language requirements

English:

  • English level C1
  • Certificate in Advanced English (CAE)
  • IELTS 7.0–8.0
  • TOEFL iBT 110–120
  • a university certificate (if English was the main language of instruction during studies)

Basic knowledge of German, certificate of the level of proficiency for non-native speakers (Goethe-Institut or university classes) or a confirmation from your university stating that German was a main language of instruction during studies.

Application deadline

Non-EU applicants for the following

  • winter semester: 15 April
  • summer semester: 15 October

via https://www.msc-ee.hs-bremen.de

EU applicants for the following

  • winter semester: 15 July
  • summer semester: 15 January

via https://campino.hs-bremen.de/qisserver/pages/cs/sys/portal/hisinoneStartPage.faces

Submit application to

Hochschule Bremen
City University of Applied Sciences
School of Electrical Engineering and Computer Science
Birgit Zich
Neustadtswall 30
28199 Bremen
Germany

Possibility of finding part-time employment

Student jobs at institutes and labs

Accommodation

Accommodation support is provided as part of the ISA service package.

Support for international students and doctoral candidates
  • Welcome event
  • Tutors
  • Visa matters
  • Pick-up service
General services and support for international students and doctoral candidates

One-off service fee of 1,700 EUR at the beginning of the first semester for International Student Assistance (ISA) as an additional service package

Supervisor-student ratio
Approx. 1:20

Bremen University of Applied Sciences

University location

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