AI and Engineering for Medical Applications (MSc)

Otto-von-Guericke Universitaet Magdeburg · Magdeburg, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
Magdeburg
Apply by
<p>The application deadline is 15 July; however, late applications may still be accepted upon individual request.</p>
Starts
Winter semester
Tuition
€8,330

Entry requirements and how to apply

Entry requirements
Admission Requirements To be admitted to the Master’s programme, applicants must have completed a university degree in a field relevant to medical engineering or electrical engineering (e.g. Bachelor’s, Diploma, Magister, or an equivalent degree with at least 180 ECTS credits). The prior studies must include the following minimum achievements (subject area / minimum ECTS) Mathematics: 20 ECTS (a maximum of 5 ECTS may be missing) Physics / Medical Physics: 15 ECTS (a maximum of 10 ECTS may be missing) Electrical Engineering / Information Technology / Electronics: 20 ECTS (a maximum of 5 ECTS may be missing) Computer Science / Programming: 10 ECTS (a maximum of 5 ECTS may be missing) Anatomy / Physiology: 5 ECTS (a maximum of 5 ECTS may be missing) In total, no more than 25 ECTS credits may be missing , in accordance with the limits stated above. If more credits are missing, applicants will receive a one-time notification specifying which qualifications must be acquired before they may apply again. Academic achievements from domestic or international institutions will be recognised if they are equivalent. Additionally, applicants must complete an aptitude test administered by the Fac
English language requirement
B2 required, proof via placement test/interview
German language requirement
A2 required, proof via placement test/interview
Application period
The application deadline is 15 July; however, late applications may still be accepted upon individual request.
Apply through
Please check this website .

About this programme

Foundation Modules High Frequency Technology Circuit Technology for Medicine Radiation Physics and Radiation Protection Anatomy AI Basics AI Applications Sensor and Measurement Technology Medical Imaging Optimisation in Medical Imaging and QA IT Hardware Regulatory Affairs Ethics of AI and Technology What will you learn? High frequency technology and circuit technology for medical applications Optimisation and quality assurance, medical imaging, regulatory affairs and AI in medical devices MRT and MRT development, CT and CT development, sensors and sensor development Develop expertise in implementing AI-driven solutions for diagnostics, patient care, and healthcare data management to enhance clinical outcomes and revolutionise medical workflows Who is it for? Recent graduates in engineering, computer science, biomedical science or a related STEM field, eager to apply their skills to real-world health challenges One year job experience required Professionals in medical technology, healthcare IT, or clinical environments looking to deepen their AI expertise and stay future-proof Tech-minded problem-solvers with a passion for healthcare innovation, digital transformation, and improving lives through data Entrepreneurs or intrapreneurs exploring opportunities in digital health, SaMD development, or AI-driven diagnostics Candidates who excel in problem-solving and collaboration, poised to lead cutting-edge projects at the intersection of AI and medicine

Related pages

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