The Medical Analytics and Health IoT track brings together skills and principles from computer science, embedded systems and medical sciences in order to build understanding of theory and to gain practical competences in the field. Unlike many traditional biomedical study programmes, which are often focused on signal processing and medical machinery, Medical Analytics and Health IoT puts emphasis on contemporary technologies and gives tools to work with the near future ICT technologies. This study track has a strong focus on data analytics and medical Internet of Things while at the same time leveraging from machine learning and software engineering. In addition, it focuses on embedded electronics and security that are strongly represented at the Department of Future Technologies.
Career or after graduation opportunities
In the Medical Analytics and Health IoT track of Digital Health and Life Sciences, students will learn to work in an international and interdisciplinary environment, collaborate in a research group, obtain expertise in medical data analysis, and gain good skills to utilse internet of things in healthcare.