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Medical Engineering and Artificial Intelligence● OpenMastersPreview

MSc in AI and Engineering for Medical Applications

A hybrid master’s programme blending AI, medical engineering, and healthcare innovation for real-world medical challenges.

Best for:Best for recent engineering, computer science, or biomedical graduates with foundational knowledge in mathematics, physics, and programming, seeking to specialise in AI-driven medical applications and healthcare innovation.

Otto von Guericke University Magdeburg · Magdeburg, Germany
More professors at Otto von Guericke University Magdeburg
AI applications in medical diagnosticsMedical imaging and optimisationHigh-frequency technology for medical devicesRegulatory affairs and ethics in AI-driven healthcareSensor and measurement technologyMedical circuit technology
This is a masters position — not a PhD studentship.
Deadline
The application deadline is 15 July; however, late applications may still be accepted upon individual request.
Funding
Unfunded
€4.2k
Start date
Winter semester (typically October)
Full-time
Location
Magdeburg
Germany

Overview

This master’s programme at Otto von Guericke University Magdeburg combines artificial intelligence, medical engineering, and healthcare technology to prepare graduates for careers in medical device development, AI-driven diagnostics, and healthcare innovation. Students gain expertise in high-frequency technology, medical imaging, AI applications, and regulatory affairs, with a strong focus on practical, hands-on learning through labs and interdisciplinary projects. The curriculum integrates German language courses to support integration into the local medical technology industry, which offers strong career prospects. The programme is designed for recent graduates or professionals with one year of work experience in engineering, computer science, or biomedical fields, aiming to bridge technical and medical expertise for transformative healthcare solutions.

AI in healthcareMedical device engineeringMedical imaging optimisationRegulatory affairs for medical technologyHybrid learning modelInterdisciplinary medical engineeringGerman language integrationMedical physics

What you'll do

  • Develop expertise in high-frequency technology and circuit design tailored for medical applications.
  • Explore AI-driven solutions for diagnostics, patient care, and healthcare data management.
  • Optimise medical imaging techniques and ensure quality assurance in clinical settings.
  • Engage in hands-on laboratory work for medical instrumentation and sensor development.
  • Write and defend a master’s thesis on a topic related to AI and medical engineering.
  • Collaborate with regional medical technology companies on real-world projects.
  • Participate in interdisciplinary projects integrating AI, engineering, and medical knowledge.

Requirements

Degree required: Bachelor’s, Diploma, Magister, or equivalent degree (180 ECTS credits) in engineering, computer science, biomedical science, or a related STEM field

Degree offered: Master of Science (MSc)

Language: German language proficiency at level A2; English language proficiency at level B2

Instruction: English (with integrated German language courses)

Required skills
  • Proven knowledge of mathematics (minimum 20 ECTS, with a maximum of 5 ECTS missing)
  • Background in physics or medical physics (minimum 15 ECTS, with a maximum of 10 ECTS missing)
  • Experience in electrical engineering, information technology, or electronics (minimum 20 ECTS, with a maximum of 5 ECTS missing)
  • Programming and computer science skills (minimum 10 ECTS, with a maximum of 5 ECTS missing)
  • Basic understanding of anatomy or physiology (minimum 5 ECTS, with a maximum of 5 ECTS missing)
  • Completion of an aptitude test administered by the Faculty of Electrical Engineering and Information Technology
  • One year of relevant work experience
Nice to have
Experience with AI tools or frameworks for medical applicationsPrior exposure to medical imaging software or hardwareKnowledge of regulatory standards for medical devices
Eligibility
  • No more than 25 ECTS credits missing in total across all required subjects
  • Equivalent qualifications from domestic or international institutions recognised
  • No specific nationality or residency restrictions mentioned
  • No age limit specified

Funding & terms

Type
Unfunded
Amount
€4.2k
Duration
4 semesters (2 years)
Programme
Otto von Guericke University Magdeburg
Otto von Guericke University Magdeburg

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

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Duration
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Taught / research mode
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Campus
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Prerequisites
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Tuition
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How to apply

Deadline: 2024-07-15

Applicants must submit their application through the official portal provided by Steinbeis-Next. The application includes academic transcripts, proof of language proficiency, and completion of an aptitude test. Late applications may be considered upon individual request.

Documents required
  • Bachelor’s or equivalent degree certificate
  • Transcripts of academic records (with minimum ECTS credits in mathematics, physics, electrical engineering, computer science, and anatomy/physiology)
  • Proof of German language proficiency at level A2 (placement test or interview)
  • Proof of English language proficiency at level B2 (placement test or interview)
  • Curriculum Vitae (CV)
  • One year of relevant work experience documentation
  • Aptitude test results from the Faculty of Electrical Engineering and Information Technology
  • Passport-sized photograph
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Contact

Lab
Medical Engineering and AI Research Group
Otto von Guericke University Magdeburg
Germany
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