Master of Science in Medical Engineering
An interdisciplinary Master's programme bridging engineering, computer science, and medicine at FAU Erlangen-Nürnberg.
Best for:Best for engineering and computer science graduates seeking a research-focused career in medical technology, robotics, or health data analytics.
Overview
Friedrich-Alexander-Universität Erlangen-Nürnberg offers a research-driven Master of Science in Medical Engineering with specialisations in Medical Image and Data Processing, Health and Medical Data Analytics & Entrepreneurship, and Medical Robotics. Students engage in rigorous technical coursework, laboratory modules, and collaborative projects alongside leading research institutes and industry partners. The curriculum equips graduates with advanced methodological and practical skills required for careers in healthcare technology, medical data science, and biomedical systems development. The programme culminates in a Master's thesis supported by both technical and medical supervisors.
What you'll do
- Complete compulsory and elective technical modules across engineering and medical specialisations
- Participate in advanced research laboratory modules at the Faculty of Engineering
- Conduct scientific literature reviews and develop professional scientific writing skills
- Execute an independent Master's thesis integrating technical and medical supervision
- Engage in practical seminars, lectures, and hands-on software development tasks
Requirements
Degree required: Bachelor's degree in computer science, electrical engineering, biomedical engineering, or a closely related technical discipline
Degree offered: Master of Science
Language: English; B2 level required via certificates such as IELTS Academic 5.5, Cambridge B2 First, or UNIcert II
Instruction: English
- Advanced knowledge in mathematics, computer science, and electrical engineering
- Proficiency in working with the Linux operating system
- Advanced programming skills in C/C++, Java, Matlab, or Python
- Satisfactory academic performance meeting the German grade average equivalent of 2.5 or better
- Applicants with a non-technical background such as medicine, biochemistry, or nursing are not eligible
Funding & terms
Programme and admissions
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- Intake
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- 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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- Tuition
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How to apply
Prospective students must review the specific admission requirements and check current application dates on the programme website. Applications are submitted online through the university's Campo portal. Suitable candidates may be invited to complete an online admission examination.
- BSc transcripts
- Official English language certificate
- CV
Contact
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