AI and Engineering for Medical Applications (MSc)
Otto-von-Guericke-Universität Magdeburg · Magdeburg, Europe
Duration
24 mo
Tuition
€4,165/yr
sourcedIntake
Winter semester
English
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Winter semester intake. Most universities admit on a rolling basis — we confirm the exact application deadline for your profile, free.
Course details verified 10 Sep 2026 — intakes, entry requirements and course facts · official source
Fee sourced Taken from the university's published fees page, not re-checked since — confirm it before you budget. See the university fees page.
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 Semester 1 High Frequency Technology for Medical Applications (5 ECTS) Basics of Information Technology for Medical Technology (5 ECTS) Ethics of Medical Applications of Technology (5 ECTS) Radiation Physics and Radiation Protection (5 ECTS) Basics AI (5 ECTS) Imaging Methods (5 ECTS) Semester 2 Medical Instrumentation and Measurement (5 ECTS) Optimisation and Quality Assurance Medical Imaging (5 ECTS) AI in Engineering for Medical Applications (5 ECTS) Good Scientific Practice (5 ECTS) Lab Course HF (5 ECTS) Medical Applications – Circuit Technology (5 ECTS) Semester 3 Anatomical Foundations (5 ECTS) Lab Course IM / QA /Anat. (5 ECTS) Lab Course Medical Applications – Circuit Technology (5 ECTS) Regulatory Affairs and AI in Medical Devices (5 ECTS) MRT & MRT Development, CT & CT Development, Sensor & Sensor Development (5 ECTS) Semester 4 Master's thesis
Intakes & deadlines
Winter semester
Dates confirmed for your profile · Open
Entry requirements
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Prerequisites
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 Faculty of Electrical Engineering and Information Technology. One year job experience required
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Documents
SOP, LOR & Resume — generate them free in 2 minutes.
This is an indicative early-career range for the whole Engineering (general) field in Europe, from official graduate-outcome data — not a figure for this programme or university, and not a guarantee of what you will earn. What you actually earn depends on the role, employer, city and your visa.
Source: Profiling Institut - Gehaltsranking nach Studienfach 2026 (StepStone Gehaltsreport 2026), 2026. Market job-board data — less official than a government survey; treat as indicative.
Rupee figure converted at the 18 Aug 2026 mid-market rate; your bank's rate will be worse and currencies move, so use it for planning, not as the amount you will receive.
Fees & scholarships
€4,165/yr tuition (sourced). We confirm the exact costs and the scholarships you qualify for at Otto-von-Guericke-Universität Magdeburg — free, for your profile.
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AI and Engineering for Medical Applications (MSc) — FAQs
5 questions
Tuition is €4,165/yr. Taken from the university's published fees page, not re-checked since — confirm it before you budget. We confirm the current fee and the scholarships you qualify for — free.
The main intake is Winter semester. Most universities admit on a rolling basis — we confirm the exact deadline for your profile, free.
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 Faculty of Electrical Engineering and Information Technology. One year job experience required
The programme runs about 24 months full-time.
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