Medical Engineering - Branches of Study: Medical Image and Data Processing / Health & Medical Data Analytics and Entrepreneurship
    Go to Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

    Medical Engineering - Branches of Study: Medical Image and Data Processing / Health & Medical Data Analytics and Entrepreneurship

    Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
    Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
    Germany
    Germany, Erlangen
    University Rank:#224
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    Go to Official Website
    Duration2 year(s)
    Next IntakeJanuary 10, 2021

    Medical Engineering - Branches of Study: Medical Image and Data Processing / Health & Medical Data Analytics and Entrepreneurship

    About

    Medical technology is one of the main focuses 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 about 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, medical process, and health management. The Master's degree "Medical Engineering - Branch of Study: Medical Image and Data Processing" is a technical and 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. Thus, very advanced computer science skills (algorithms, programming in Java, C/C++, Matlab, Python, working with Linux operating system), profound knowledge in electrical engineering, and a strong theoretical background in mathematics are required.

    Requirements

    Entry Requirements

    Bachelor's degree (or equivalent) in computer science or in (bio)medical engineering with a computer science focus; 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. A self-assessment can be carried out on the programme website: https://www.medical-engineering.study.fau.eu/prospective-students/joining-the-master-degree-programme/

    Fee Information

    How to Apply

    Online application (soft copies) and application via postal mail (hard copies): Online: www.campo.fau.de Postal address: FAU Erlangen-Nürnberg Referat L4 – Masterbüro Schlossplatz 4 91054 Erlangen Germany

    Medical Engineering - Branches of Study: Medical Image and Data Processing / Health & Medical Data Analytics and Entrepreneurship

    Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

    Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

    Germany

    Germany, Erlangen

    Go to Official Website0