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Enseignant: Profs divers *

Langue: Anglais


Summary

The engineering internship is an integral part of the curriculum for master's students. They join companies in Switzerland or abroad to carry out an internship or their master's project in a field of activity where the skills of the futur Engineer are highlighted.

Content

Learning Prerequisites

Required courses

- Have completed one full semester for students who have obtained their Bachelor at EPFL

- Have completed two full semesters for students coming from another university

Learning Outcomes

By the end of the course, the student must be able to:

  • Be aware of the importance of legal procedures and the ethical code of the profession
  • Communicate effectively and be understood
  • Self-assess the level of acquired skills and plan the next goals
  • Manage the priorities
  • Receive and give feedback (criticism) and respond appropriately

Expected student activities

The student agrees to do this internship with professionalism

Assessment methods

- Short internship (8 weeks): electronic evaluation at the end of the internship

- Long internship (6 months): electronic evaluation at the end of the intership

- Master's project in the industry : see the master's project course book

Supervision

Others

Resources

Notes/Handbook

Internship guidelines available on the internship website

Websites

Dans les plans d'études

  • Semestre: Automne
  • Forme de l'examen: Mémoire (session d'hiver)
  • Matière examinée: Engineering internship credited with Master project (master in Data science)
  • TP: 320 Heure(s)
  • Semestre: Printemps
  • Forme de l'examen: Mémoire (session d'été)
  • Matière examinée: Engineering internship credited with Master project (master in Data science)
  • TP: 320 Heure(s)
  • Semestre: Automne
  • Forme de l'examen: Mémoire (session d'hiver)
  • Matière examinée: Engineering internship credited with Master project (master in Data science)
  • TP: 320 Heure(s)
  • Semestre: Printemps
  • Forme de l'examen: Mémoire (session d'été)
  • Matière examinée: Engineering internship credited with Master project (master in Data science)
  • TP: 320 Heure(s)
  • Semestre: Automne
  • Forme de l'examen: Mémoire (session d'hiver)
  • Matière examinée: Engineering internship credited with Master project (master in Data science)
  • TP: 320 Heure(s)
  • Semestre: Printemps
  • Forme de l'examen: Mémoire (session d'été)
  • Matière examinée: Engineering internship credited with Master project (master in Data science)
  • TP: 320 Heure(s)

Semaine de référence

 LuMaMeJeVe
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     

Cours connexes

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