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M2 Communication and data engineering

Apply for the degree
  • Places available
    20
  • Language(s) of instruction
    English
Présentation
Objectives

This program - taught in English in Hanoi, Vietnam, in collaboration with the University of Engineering and Technology of the Vietnam National University (VNU-UET) - is a high-quality research master program in sciences and technologies for information and communication, aimed at educating future PhD students, consistent with international standards, open to Vietnamese students or other incoming students. The fee will be a few thousands euro (EUR 4000 at the maximum) to be paid to VNU-UET.

Course Prerequisites

Stochastic Processes, Digital Signal Processing, and Advanced Programming

Skills
  • To create knowledge with a scientific approach.

  • To learn about a scientific issue by identifying relevant sources of information.

  • To have a deep understanding of communication and data engineering.

  • To be able to analyze an article or a scientific presentation and understand its issues and limitations.

Post-graduate profile

Skills in :
* digital communication, mobile networks, data mining, internet of thing, cloud computing,
* research methodology,
* depending on electives, channel coding, network security or machine learning.

Career prospects

The study path aims to prepare students for a thesis, ideally jointly with Université Paris-Saclay.

Collaboration(s)
Academic partner

University of Engineering and Technology - Vietnam National University (VNU-UET)

Laboratories

Laboratoire des Signaux et Systèmes
 

Advanced Institute of Engineering and Technology (VNU-UET)

Programme

1 tronc commun à 26 ECTS
1 UE optionnelle à 4 ECTS à choisir sur une liste de 2.

Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Mobile networks 3 21 9
4G-5G networks 3 15 15
Internet of things and cloud computing 5 27 18
Internet 5 24 21
Digital communication 5 30 15
Algorithms for data science 5 24 21
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Research seminars 4 36
Law, workplace, project management 4

2 UE optionnelles à choisir sur une liste de 3, chacune à 5 ECTS
1 stage à 20 ECTS obligatoire.

Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Network security 5 24 21
Source and channel coding 5 36 9
Advanced machine learning and IoT data analytics 5 30 16
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Thesis (internship) 20
Modalités de candidatures
Application period
From 15/03/2022 to 15/11/2022
Compulsory supporting documents
  • Certificate of English level.

  • Motivation letter.

  • Curriculum Vitae.

  • All transcripts of the years / semesters validated since the high school diploma at the date of application.

Additional supporting documents
  • Letter of recommendation or internship evaluation.

  • VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

Contact(s)
Course manager(s)
Admission
Registration fees

The fee will be a few thousands euro (EUR 4000 at the maximum) to be paid to VNU-UET.