Study content and requirements

for the Medical Engineering & Analytics degree program

What should you bring to the program?

The master’s program is designed for graduates of bachelor’s programs in engineering or the natural sciences who wish to deepen their knowledge in the field of digital healthcare in a targeted manner. Ideal candidates have an interest in innovative technologies and are motivated to solve complex challenges at the intersection of engineering, medical technology, and data analysis. The following are particularly helpful:

  • An interest in artificial intelligence, data analytics, and digital health technologies
  • An enthusiasm for technical and scientific problems
  • Analytical thinking and a willingness to understand complex interrelationships
  • Motivation to develop innovative solutions for the healthcare sector
  • An interest in interdisciplinary collaboration across engineering, medicine, and research
  • Good English skills, as well as initiative and the ability to work independently

The program builds upon a completed bachelor’s degree in an engineering or natural science field. Whether your prior education meets the program’s academic admission requirements will be assessed on an individual basis as part of the admissions process.

Here's what you'll learn during your studies

In the master’s program, you’ll deepen your knowledge of artificial intelligence, data analytics, and medical engineering. You’ll develop technologies for diagnostics, therapy, and healthcare, and work on innovative solutions for the digital transformation of the healthcare sector.

  • Artificial Intelligence and Deep Learning
    You will explore modern methods of artificial intelligence and deep learning. In doing so, you will develop algorithms for medical applications and make complex data usable for diagnostics, therapy, and clinical decision-making.
  • Medical Image and Signal Processing
    You will analyze medical image and signal data and develop methods for automated evaluation and visualization. Modern technologies help you identify patterns and make diagnostic processes more efficient.
  • Data Analytics and Visualization
    You will learn to analyze, interpret, and present large amounts of data in an understandable way. Data visualization and data-driven decision-making models form an important foundation for innovative applications in healthcare.
  • Assistive Technologies and Extended Reality
    You will explore assistive technologies as well as virtual and augmented reality and develop innovative applications for therapy, rehabilitation, and medical education.
  • Innovation, Entrepreneurship, and Project Management
    In addition to technical skills, you will strengthen your entrepreneurial mindset and turn ideas into marketable products or services. Project management and interdisciplinary collaboration will prepare you to lead complex projects and launch your own startups.
  • Practical Research and Development Projects
    Together with companies, research institutions, and partners in the healthcare sector, you’ll tackle current issues in digital medicine. In doing so, you’ll gain valuable experience in developing innovative technologies and work on solutions to real-world challenges.

Further Perspectives

Upon successful completion, you will have a specialized qualification for professional and leadership roles in medical technology, healthcare IT, and research and development. Depending on the admission requirements, the master’s program also paves the way for doctoral or PhD studies.

General Information About the Program

For more information on admission requirements, the training contract, nostrification and recognition of qualifications, the admissions process, examination regulations and grading, ECTS credits, and the academic calendar, please refer to the General Study Information.

FAQ

Frequently asked questions about the 
“Medical Engineering & Analytics” Master’s Degree Program

Current Courses

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Jobs & Careers

After Graduating with a Degree in Medical Engineering & Analytics

The digital transformation is fundamentally changing the healthcare sector. Smart diagnostics, data-driven decision support, and connected healthcare systems are creating new job roles and opening up excellent career prospects. With your master’s degree, you’ll be qualified for challenging specialized and leadership roles at the intersection of technology, medicine, and innovation.

Here are the tasks you can expect in your day-to-day work

With your master’s degree, you’ll develop smart technologies for healthcare and work on innovative solutions for diagnostics, therapy, and digital care models.

Depending on the company and your area of work, your responsibilities may include the following:

Development of smart systems

  • AI-powered diagnostic and assistance systems
  • AR/VR-based visualizations
  • Assistive technologies
  • Prototyping, testing, and validation in a clinical setting

Analysis of medical data

  • Data analytics and data visualization
  • Deep learning applications for image, signal, or sensor data
  • Data-driven decision support systems

Innovation and management

  • Collaboration on research and development projects
  • Product and project management in digital health and medical technology
  • Quality and process management

You can work in these industries

Digitalization is transforming virtually every aspect of the healthcare sector. This opens up a wide range of career paths for you—from international companies to research institutions and innovative startups.

Industry and Business

  • Medical Technology Companies
  • Healthcare IT companies
  • Digital health startups

Healthcare

  • Hospitals
  • University hospitals

Research and Science

  • Research Institutes
  • Colleges and Universities
  • Development centers

Shape the digital healthcare of tomorrow.

Develop smart technologies for diagnostics, therapy, and healthcare, and start your master’s program in Medical Engineering & Analytics today.