Medical Engineering — Specialisations: Medical Image and Data Processing | Health and Medical Data Analytics & Entrepreneurship | Medical Robotics

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) · Nuremberg, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
Erlangen
Apply by
<p>Please find our current application dates on our study programme website:&nbsp;<a href="https://www.medical-engineering.study.fau.eu/prospective-students/joining-the-master-degree-program/application/">https://www.medical-engineering.study.fau.eu/prospective-students/joining-the-master-degree-program/application/</a>.</p>
Starts
Winter and summer semester

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) 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
Grade average of 2.5 or better according to the German system (in which 1.0 is the best grade and 4.0 is the worst passing grade) A suitable Bachelor's degree (or equivalent) in computer science, electrical engineering, (bio)medical engineering or similar disciplines is required. Students with a non-technical background (medicine, biochemistry, nursing, etc.) are not eligible. Advanced knowledge in the fields of mathematics, computer science, and electrical engineering Experience with Linux operating system Advanced programming skills in C/C++, Java, Matlab, Python Each application will be checked individually by the entrance qualification board for medical engineering. Suitable candidates are invited to an online admission exam (60 minutes), in which their knowledge in mathematics, algorithms and basic knowledge in their chosen branch of study (i.e. electrical engineering, computer science/artificial intelligence) are tested. A self-assessment can be carried out on the programme website: https://www.medical-engineering.study.fau.eu/prospective-students/joining-the-master-degree-program/self-assessment/
English language requirement
B2 required, please provide an official language certificate, e.g.: Cambridge English Qualifications: B2 First Cambridge English Qualifications Business (BEC) : B2 Business Vantage UNIcert® English: UNIcert® II IELTS Academic: 5.5
German language requirement
No minimum language level required
Application period
Please find our current application dates on our study programme website: https://www.medical-engineering.study.fau.eu/prospective-students/joining-the-master-degree-program/application/ .
Apply through
Please check this website .

About this programme

Medical technology is one of the main research foci at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Over 150 university institutes and laboratories are actively participating in this sector. Many research units at FAU, especially at the Faculties of Engineering, Science, Medicine, and Economics deal with research questions in healthcare engineering, such as medical imaging and image processing (CT, PET, SPECT, US, OCT), molecular and translational medicine, computational medicine, medical and biological computer sciences, medical physics engineering, medical biotechnologies and biomaterials, robotic systems for medical applications, medical processes, and health management. An overview of our research highlights can be found on our medtech map: https://www.medtech.fau.eu/ . The Master's degree in "Medical Engineering – Specialisation: Medical Image and Data Processing" is a research-driven programme with a specialised focus on computer science for medical needs. It teaches systematic and instrumental methods to students and imparts professional and methodological skills. The interdisciplinary study content leads to a high qualification in the career field of medical image and data processing. Methods for software systems in medical engineering are acquired, ranging from algorithms for image improvement, image reconstruction, and image registration to computer-aided diagnostic support and hospital information systems. The Master's degree in "Medical Engineering – S

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