FAQ
Would you like to learn more about the Master’s degree program in Medical Engineering & Analytics? Here you’ll find answers to the most frequently asked questions about the curriculum, admission requirements, part-time study, telemedicine, and your career prospects. If your question isn’t listed here, we’d be happy to assist you personally.
Who is this master's program intended for?
The program is designed for graduates of bachelor's degree programs in engineering or the natural sciences who wish to specialize in the fields of medical engineering, artificial intelligence, data analytics, and digital healthcare.
What bachelor's degree do I need to get started?
The master’s program is open to graduates of technical or science degree programs. Whether your prior education meets the academic admission requirements will be assessed on a case-by-case basis as part of the admissions process.
Do I need to have prior knowledge of AI or data analytics?
No. A basic understanding gained from a bachelor’s degree in a technical or scientific field is helpful. Specific topics such as deep learning, medical data analysis, and modern AI methods are systematically introduced and explored in depth throughout the program.
What role does artificial intelligence play in university?
AI is a central component of the master's program. You will learn to apply methods such as deep learning and machine learning to medical applications—for example, to analyze medical image data.
Will I be working on real projects?
Yes. Together with companies, research institutions and partners from the healthcare sector, you work on practical challenges and develop solutions for current needs in digital healthcare. On our blog , you can find out more about current projects by our students and faculty, their achievements, and our collaborations with universities and industry partners.
Can I study abroad for a semester?
Yes. International partnerships allow you to study abroad and participate in exchange programs with partner universities and research institutions overseas.
What career opportunities will I have after I graduate?
The Master's in Medical Engineering & Analytics prepares you for specialized and leadership roles in medical technology, healthcare IT, research, software development, digital health, or innovative startups. A career in academia or starting your own business are also possible career paths.
Can I pursue a Ph.D. after completing my master's degree?
Yes. A master’s degree generally paves the way for doctoral or PhD studies, depending on the specific admission requirements of the university.
Is the program offered in German or English?
The Master's degree program in Medical Engineering & Analytics is taught entirely in English (100% English-taught). All courses, materials, and exams are in English. Knowledge of German is not required for this program.
How does the admission process work?
After you submit your application, the admissions process will proceed in accordance with the current admission requirements of CU Carinthia University of Applied Sciences. You can find information about dates and the process on the program page.
What does HyFlex mean?
The HyFlex model gives you maximum flexibility. Depending on the course, you can study online, on campus, or asynchronously, allowing you to balance your studies with your career and personal life in the best possible way.