MGT-201: Introduction to entrepreneurshipThis course provides an introduction to the field of entrepreneurship, in particular the process of new venture creation and the commercialization of technologies. It integrates theories of entrepreneurship with a practical, process-based
project, where st ...
NX-591: Industry internship in Neuro-XThe industry internship is an integral part of the curriculum for master's students. They join companies in Switzerland or abroad to carry out an internship in a field of activity where the skills of the future Engineer in Neuro-X are highlighted. ...
CS-411: Digital educationThis course addresses the relationship between specific technological features and the learners' cognitive processes. It also covers the methods and results of empirical studies: do student actually learn due to technologies? In fall 2025, P. Dillenbourg w ...
CS-491: Introduction to IT consultingThis course is an introduction to the alignment of enterprise needs with the possibilities offered by Information Technology (IT). Using a simulated business case, we explore how to define the requirements for an IT service that matches stakeholders explic ...
CS-597: Master project in CybersecurityThe student carries out an academic or industrial master's project. The student will use skills and knowledge to accomplish an independent Master in Cybersecurity ...
PHYS-599(a): Projet de master en ingénierie physiqueL'étudiant.e ayant fait un stage réalise un projet de recherche en physique dans un laboratoire ou en entreprise.
L'étudiant.e ayant fait un mineur réalise un projet de recherche dans le domaine de la physique obligatoirement en entreprise. ...
MGT-589: Projet de master en management durable et technologieResearch-oriented project in SMT, carried out during a 25-week-internship in industry, and upon which the student writes a master thesis. Alternatively, the PdM can be carried out during a mandatory period of 17 weeks in one of the three academic instituti ...
CS-401: Applied data analysisThis course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.) ...