M2 Advanced Wireless Communications Systems
The Master Program SAR is a research-oriented Master degree in wireless communication and networking. It corresponds to the second year of the 2-year European Master degree curriculum and all its courses are taught in English. This program aims to convey solid fundamental knowledge in the field of wireless communications and networking as a means to prepare the students for their future research-oriented careers. Courses focus on the theoretical and fundamental methodologies and techniques, which are necessary for understanding key advances in the areas of wireless communications and networking and their interaction with machine learning. The curriculum spans a large spectrum of material, ranging from information theory and coding to communication theory, networking theory and machine learning.
The organization of the year is as follows:
- The first semester (September to January) starts with few “refresher” courses that provide the students with solid background in mathematical tools (probability theory, estimation theory, optimization). It is followed by specialized courses on wireless communication, machine learning and networking, in which baseline tools and key concepts that are necessary for understanding advanced research topics are studied in detail.
- In the second semester (February to March), students attend a series of research seminars on advanced topics and trends in wireless communications and in parallel they prepare a research project.
- From April, students pursue a research-oriented internship for a minimum period of four months. The internship can be done in industrial R&D labs or universities in France or abroad.
The career of M2R SAR graduates could be oriented towards all industrial and economic sectors in the field of telecommunications. They could work in higher education institutions and universities as faculty members (professors), in public (CNRS, INRIA, CEA, etc.) and private research sector (industrial research and development departments) and in any telecom sector requiring deep understanding and rigorous scientific reasoning (project managers, research directors, etc.). A survey about the first employment of former M2SAR students has shown that M2SAR students find very shortly after their graduation either funding for pursuing a PhD thesis (CIFRE, doctoral contracts, public grants and scholarships) or a permanent position in the telecommunication sector.
In fact, M2R SAR has an extended network of industrial partners, including Nokia Bell Labs, Orange Labs, Thales Communications, TCL, EDF, SAGEM Communications, Intel Mobile Communications, CEA-LETI, CEA-LIST, Mitsubishi Electric, SEQUANS Communications, Parot/Dibcom, etc. Many Master SAR students join the above companies for their research internship.
M2R SAR has an extended network of industrial partners, including Nokia Bell Labs, Orange Labs, Thales Communications, TCL, EDF, SAGEM Communications, Intel Mobile Communications, CEA-LETI, CEA-LIST, Mitsubishi Electric, SEQUANS Communications, Parot/Dibcom, etc. Many Master SAR students join the above companies for their research internship.
Laboratoire des Signaux et Systèmes
Systèmes et Applications des Technologies de l'Information et de l'Energie.
Au semestre 1, l'EF donne le socle théorique de base des principes de communications numériques, de la théorie de l'information et des réseaux ainsi qu'une introduction au machine learning à son utilisateur dans les réseaux sans fil. Des cours de remise à niveau, en mathématiques pour les communications et les réseaux, sont aussi enseignés au début de ce semestre. L'EF contient trois groupes d'UEs:
Groupe 1: Refresher courses (4 ECTS)
Groupe 2: Communications (16 ECTS)
Groupe 3: Networking and Machine Learning (10 ECTS).
Au semestre 2, l'EF contient des UEs électives plus approfondies et qui sont en lien avec les thématiques de recherche actuelles dans le domaine des communications et réseaux sans fil. Chaque élève choisit 3 UEs à suivre, en février et mars, parmi les UEs proposées. Les élèves suivent aussi 4 séminaires de recherche (de 3h chacun) sur des sujets actuels de recherche. En Parallèle, les élèves travaillent aussi, en binôme, sur un projet de recherche qui leur permet de se préparer à faire un stage et une thèse ultérieurement. A partir d'avril, les élèves font un stage de 4 mois minimum.
|Random Matrix Theory||1.3||12|
|Joint Source and Channel Coding||1.3||12|
|Internet of Things||1.3||12|
|Game Theory and Distributed Networks||1.3||12|
|Deep Learning and IoT Data analytics||1.3||12|
Curriculum EU (description of the units of education followed) of the last two years.
Letter of recommendation or internship evaluation.
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Choice sheet of M2 (obligatory for the candidates registered in M1 at the University Paris-Saclay) to download on https://www.universite-paris-saclay.fr/en/admission/apply-master-programmes.
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
Certificate of English level (compulsory for non-English speakers).
This master's program is an excellent international program that offers additional services to students. This program requires specific tuition fees in addition to the mandatory fees : https://www.universite-paris-saclay.fr/en/admission-help/tuition-fees
This program is hosted by CentraleSupelec, a top tier Engineering School in France. According to shanghai Ranking, CentraleSupelec is ranked first in France, second in Europe and 14th in the world in Telecommunications Engineering:
Top candidates are eligible for a scholarship. In addition, students can be eligible for a fee waiver.