Actively promoted start of studies through link programmes; Broad range of tutorials; Exercises and internships in small groups; Internships right from the first semester; Modern catalogue of compulsory elective subjects (robotics, machine learning...); State-of-the-art, programme-specific laboratories (medical imaging, bioanalytics, medical device technology, VR&AI laboratory); Very technical qualification with the ability to directly follow up with a Master’s degree programme in electrical engineering or a Master’s degree programme in Applied Research in Engineering Sciences

Four international advisers and the university’s International Office help students in their search for practical semesters, final dissertations or study visits abroad. The department supports and organises short-term stays abroad, such as summer schools or excursions, and is engaged in an intensive cooperation with STIEI Shanghai with regard to an internship abroad in Shanghai, China. Partner universities include Shanghai Normal University (China), Clemson University (USA), Vancouver Island University (Canada) and many others.; Financial support of foreign guest lecturers, including for online instruction

Modern and very well-equipped laboratories: Medical engineering (specifically imaging and minimally invasive procedures), medical appliance engineering (set-up and testing of autonomous embedded systems, safety testers and monitor systems), bioanalytics and sensor technology (in-vitro diagnostics and clinical chemistry), laser and optical measurement technology, development and application of VR & AI; Electric hybrid circuits (possibility of internal production of electronic assemblies in small series); Databases:IEE Xplore, Perinorm, SpringerLink, wti, DEPATISnet, Statista, VDE Normenbibliothek, Wiley Online Library and much more

Project: NeuroTEST; Description: Stress tests of AI models for medical image data processing using synthetic and simulated MRI data; Duration: 24 months; Start: 01.01.2021; Industry partners: deepc GmbH, Munich; Project name: Deep-PPG; Description: Robust acquisition of the photoplethysmographic curve in mobile systems; Duration: 36 months; Start: 01.01.2021; Industry partners: Osram Opto Semiconductors GmbH; Independent research focus on medical engineering with the core topics of bioanalytics, imaging and image processing, workflow&IT, AI&VR

Internal research projects can also be carried in cooperation with industry at the level of project work and final dissertations; Access to expertise and infrastructure of all laboratories of the Department of Electrical Engineering and Industrial Engineering; Psychological support offered for students with anxiety and psychological stress