OF THE PROGRAM
In contrast to traditional university education in engineering, the M.Sc. in Health and Medical Data Analytics aims to :
The programme is designed for 2 years (120 ECTS):
20 ECTS of I&E content are offered during the first year and during the mandatory summer school that brings together students and faculty from the whole consortium.
The universities offer different specialisations:
Teaching methods focus on team-based, project-oriented learning and exchanging feedback on project ideas and prototypes. Especially in the I&E lab modules, the summer school and the Master’s thesis project, students will develop their own ideas and creative solutions.
A bachelor’s degree in engineering or related studies and a strong interest in innovation and entrepreneurship are required for admission.
Graduates in HMDA are computer scientists with excellent skills in information processing, machine learning and data mining. They will develop and use state of the art technology in order to generate, analyse and interpret medical data. By including several lab modules and internships, and with the help of practical courses, students will learn to specifically coordinate their own collaborative projects as well as their studies in general and thus shoulder responsibility – not only for them but also for different working groups. Being educated in medical device regulation / law, students will be prepared to deal with different European healthcare systems and will be an asset to any large MedTech company (e.g. Siemens Healthineers, GE Healthcare, Philips Healthcare) or healthcare start-ups.
The programme also gives students access to the biggest MedTech network in Europe by connecting them with the community of EIT Health. Being part of the EIT Health network means easy access to support and funding for business ideas through Accelerator and Innovation Projects programs.