MSE Master of Science in Engineering

The Swiss engineering master's degree

Ogni modulo equivale a 3 crediti ECTS. È possibile scegliere un totale di 10 moduli/30 ECTS nelle seguenti categorie: 

  • 12-15 crediti ECTS in moduli tecnico-scientifici (TSM)
    I moduli TSM trasmettono competenze tecniche specifiche del profilo e si integrano ai moduli di approfondimento decentralizzati.
  • 9-12 crediti ECTS in basi teoriche ampliate (FTP)
    I moduli FTP trattano principalmente basi teoriche come la matematica, la fisica, la teoria dell’informazione, la chimica ecc. I moduli ampliano la competenza scientifica dello studente e contribuiscono a creare un importante sinergia tra i concetti astratti e l’applicazione fondamentale per l’innovazione 
  • 6-9 crediti ECTS in moduli di contesto (CM)
    I moduli CM trasmettono competenze supplementari in settori quali gestione delle tecnologie, economia aziendale, comunicazione, gestione dei progetti, diritto dei brevetti, diritto contrattuale ecc.

La descrizione del modulo (scarica il pdf)riporta le informazioni linguistiche per ogni modulo, suddivise nelle seguenti categorie:

  • Insegnamento
  • Documentazione
  • Esame
Digital health systems (TSM_DigHealth)

This course provides an in-depth overview of data management in digital healthcare.

First, the special features and challenges of medical documentation will be discussed followed by the underlying ontologies, classifications and scoring systems. Particular emphasis will be placed on a deeper understanding of different dimensions of interoperability. This knowledge will then be used to address exemplary specific medical information systems.

BigData technologies will then open the next section which deals with the particular challenges of digital transformation in healthcare. In particular, the inclusion of patients in future data collection will be discussed and demonstrated, as well as the potential of the merging of LifeStyle data, vital data and medical documentation. The topic of data reuse from the different medical applications combined with security issus within the emerging Data Science Centers is also the subject of this module. Finally, the new challenges for software development in the context of the Medical Device Regulation (“MDR”) are presented.


This course requires knowledge about

  • the electronic - also sensor-based - structured data acquisition,
  • user Centered design,
  • a good understanding of database-concepts,
  • information systems and
  • general data analysis.

Obiettivi di apprendimento

The aim of this lecture is to understand, 

  • how Data are collected in medicine, 
  • how these data are organized in a structured and interoperable way, 
  • the importance of information systems in this context, 
  • the role of these systems as a basis for digital transformation in the healthcare sector, 
  • how information systems can be linked with eHealth, mHealth (“mobile Health”), pHealth (“personalized Health”) 
  • how future active assisted living can be supported 
  • and the impact of MDR on the professionalization of medical software and apps.

Categoria modulo

First Part (6 weeks):

  • Medical & Health Data Documentation (1 week)
  • Medical Ontologies and Classification (2 weeks)
  • Dimensions of Interoperability in Health Care Systems (2 weeks)
  • - Hospital & Health Care Information Management Systems (1 week)

 Second Part (8 weeks):

  • BigData Technologies (1 week)
  • Digitalization & Transformation in Treatment Pathways (1 week)
  • eHealth & EPD (1 week)
  • mHealth & App – Ecosystems (1 week)
  • Privacy & IAM in cybersecurity (1 week)
  • pHealth and Data Science Center (1 week)
  • Home Monitoring (1 week)
  • MDR (1 week)

Metodologie di insegnamento e apprendimento

Lectures and practical work on computer.


Slides and lecture notes will be available in addition to recommended book chapters.

Scarica il descrittivo completo del modulo