In the first semester, you are introduced to core disciplines that form the foundation for developing innovative telemonitoring solutions. Through Systems Engineering, you gain an in-depth understanding of the design and integration of complex systems — essential for creating coherent and effective healthcare technology solutions. In Security & Privacy, you focus on developing methods to protect data and privacy, which is critical in a digitalized healthcare sector. Telemonitoring Project gives you practical experience in developing and implementing telemedicine solutions, working closely with clinical and industrial partners. Finally, in Explainable Statistical Learning, you learn to create decision-support systems that contribute to reliable healthcare solutions, understandable and transparent for end users.

In the second semester, your theoretical and practical knowledge is expanded so you can design clinically approved healthcare devices. Through Research Methodology, you gain a solid foundation in structured and evidence-based research — an essential skill for clinical development and research. Innovation in Engineering stimulates your creativity and ability to develop groundbreaking solutions to meet future challenges in the healthcare sector, while Human Factors Engineering focuses on designing devices and systems with a deep understanding of user needs, ergonomics, and safety, as well as the path to approval for the U.S. market under FDA regulations. Together, these courses provide you with the tools to optimally build complex systems and create technological solutions that are innovative, user-friendly, and clinically applicable.

Through its many specialization courses, the Healthcare Technology track enables you to dive deeply into multiple advanced and interdisciplinary areas, depending on your interests and career goals.

If you are interested in telemedicine and clinical solutions, you can specialize with courses such as Advanced Telemedicine, equipping you with the tools to develop and implement the telemedicine systems of the future. For those who wish to immerse themselves in artificial intelligence, the program offers several courses in Deep Learning and Machine Learning. These courses give you a strong platform to work with advanced algorithms and decision-support systems at the highest international level of expertise, applicable to a wide range of healthcare-related challenges.

If you are more interested in the infrastructure that supports modern healthcare technology, you can choose specializations within Computer Networks and Internet of Things. These courses cover key topics such as distributed systems, wireless sensor networks, and web architecture, giving you the skills to build and optimize complex interconnected systems essential for data collection and communication in healthcare.

In addition, there are opportunities to specialize in areas such as Patient Safety, Back-End Development and Databases, and Biofabrication — all contributing to the development of safe and innovative healthcare devices.

For those focused on image processing and computer vision, there is also a study path where you can combine elements from deep learning, mathematics, and optimization to develop advanced solutions for, for example, diagnostics and surgery.

This broad range of specialization courses ensures that you can tailor your education precisely to your interests and career goals — whether you wish to work with telemedicine, artificial intelligence, network technology, or other areas within healthcare technology.

The specialization courses are combined with a range of fully elective courses, where you can choose from offerings across all other specializations, including imaging, computer vision, virtual reality, segmentation, modeling, signal analysis, project management, and much more.

There are also extensive opportunities to adapt your studies to your own focus areas. The specialization offers several R&D courses, providing unique opportunities to engage in cutting-edge research and development — in close collaboration with industry partners and leading research groups. In addition, the program includes Study Courses, which give you the freedom to tailor your education further, aligning it with your academic ambitions and personal interests. This flexibility ensures that you can combine theoretical knowledge with practical experience, leaving you well prepared to meet the challenges shaping the future of healthcare technology.

In the final semester, you will work full-time on your Master’s thesis. You may choose to continue collaborations from previous semesters and focus on the project you are most passionate about.

Teaching takes place in small classes, allowing us to offer students the opportunity to participate in research projects either at a hospital or in a company.

The specialisation comprises three core courses corresponding to a total of 15 ECTS. In addition, several elective courses within the specialisation are offered. You must combine your courses so that the total number of ECTS credits from core and elective courses amounts to at least 40 ECTS. If you choose to take more core courses than the required 15 ECTS, the additional courses will be counted as electives.