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Home > Study in Germany > Steinbeis University - Schools of Next Practices GmbH > Master of Science in Engineering for Medical Applications at OVGU

Master of Science in Engineering for Medical Applications at OVGU Steinbeis University - Schools of Next Practices GmbH Steinbeis University - Schools of Next Practices GmbH, Germany

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EUR 11900

Annual Tuition Fee

!
*Subject to change and other fees
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 Free

Application Fee

Duration icon

24 months

Duration

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6

IELTS

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80

TOEFL

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75%

Min GPA

Program Overview

The MSc in AI & Engineering for Medical Applications by S-Next will be a collaboration with Otto von Guericke University, Magdeburg. It unites cutting-edge data science with advanced engineering to drive healthcare breakthroughs. Through immersive projects and expert mentorship, you’ll develop innovative solutions that improve diagnostics, treatment, and patient outcomes.


The M.Sc. AIEMA program is offered in cooperation between S-Next and OVGU. The state-recognized degree is awarded by OVGU.



What will you learn?

  • High Frequency Technology for Medical Applications
  • Optimization and Quality Assurance Medical Imaging
  • Regulatory Affairs and AI in Medical Devices
  • MRT + MRT Development
  • Develop expertise in implementing AI-driven solutions for diagnostics, patient care, and healthcare data management to enhance clinical outcomes and revolutionize medical workflows.


Who is it for?

  • Recent graduate in engineering, computer science, biomedical science, or a related STEM field and eager to apply your skills to real-world health challenges.
  • Professional in medical technology, healthcare IT, or clinical environments, looking to deepen your AI expertise and stay future-proof.
  • Tech-minded problem-solver with a passion for healthcare innovation, digital transformation, and improving lives through data.
  • Entrepreneur or intrapreneur 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.
Read more

Additional Information

Program Level Master's Degree

College/University Processing Time 2 Days

Program Format Full-Time

Job Seeker Visa (JSV) work permit

Program Intake

Open

Oct 2026

General Admission Requirement

    Academic Requirement

    Minimum Level of Education Required: To be accepted for this program, students must have a 4-year bachelor's degree in a relevant field (e.g., Medical Technologies, Electrical Engineering, Information Technology, Computer Science, or other closely related subjects).


    Any applicant with a bachelor's degree that is not electrical engineering or medical engineering:

    • At least 20 ECTS in the field of mathematics
    • At least 15 ECTS in the field of physics/medical physics
    • At least 20 ECTS in the field of electrical engineering and information technology / electronics (ETIT)
    • At least 10 ECTS in the field of computer science / programming
    • At least 5 ECTS in the field of anatomy / physiology

    A maximum of 25 ECTS of these requirements may be missing, of which a maximum of 5 CP may be in Mathematics, 5 CP in ETIT, 5 CP in Anatomy, 5 CP in IT and 10 CP in Physics or Medical Physics.

    6 IELTS Score
    80 TOEFL Score Minimum Overall Score
    56 PTE Score Minimum Overall Score
    100 Duolingo Minimum Overall Score
    75% CGPA Minimum Overall Score

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    Tuition Fee

    The values given below are estimated figures, excluding extra charges like material fee, student activity fees, athletic fees, health care, etc., for courses. To know more, please visit the Programs page.

    Average Tuition Fee Per Year

    11900

    Tuition Fee
    (EUR)

     Free

    Application Fee
    (EUR)

    11208 Per year

    Average Cost of Living
    (EUR)

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    The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

    Check program website for more information about funding options.

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