M2 Systèmes avancés de Radiocommunication (SAR)
This cross-disciplinary program aims to convey solid fundamental knowledge in the field of wireless communications, machine learning, and networking as a means to prepare the students for their future professional careers. The curriculum spans a large spectrum of material, ranging from information theory and coding to communication theory, networking theory and machine learning (statistical and reinforcement learning, Deep learning, LLM).
The academic year is structured as follows:
- September - February: The academic year begins with foundational courses, where students build a strong background in essential mathematical tools and machine learning. This foundation supports subsequent specialized courses in wireless communication and networking, which provide the key concepts needed for advanced research.
-January - March: the focus shifts to research immersion. Students participate in seminars on advanced topics and begin developing their own research project.
- Finally, from April onward, students undertake a full-time internship for a at least four months, in companies or academic institutions, either in France or internationally.
Courses focus on the theoretical and fundamental methodologies and techniques, which are necessary for understanding key advances in the areas of wireless communications, machine learning and networking.
The career of M2R SAR graduates could be oriented towards all sectors of telecommunications and machine learning. They could work in higher education institutions and universities, in public (CNRS, INRIA, CEA, etc.) and private research sector (industrial research and development departments) and in any company requiring deep understanding and rigorous scientific reasoning (project managers, research directors, etc.). A survey about the first employment of former students has shown that they 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 a company
The M2 SAR has an extended network of industrial partners, including Nokia, Ericsson, Orange Labs, Qualcomm, Thales Communications, TCL, EDF, CEA, Mitsubishi Electric, SEQUANS Communications, etc. Many students join the above companies for their research internship.
The curriculum provides a wide-ranging education, spanning the disciplines of information theory, coding, communication and networking theory, and machine learning—with a focus on statistical learning, reinforcement learning, deep learning, and large language models (LLMs). The instructors are internationally-renowned researchers in their field. The curriculum is structured in three progressive phases: a Foundational Core of fundamental courses, a Research Immersion involving advanced seminars and a hands-on project, and a culminating Internship with an industrial or academic partner, either in France or abroad.
-Students having an M1 (i.e. first year of the two-year European Master degree curriculum) in Electrical Engineering and related fields (e.g. Telecommunications, Electronics, etc.).
-Students having an M1 in mathematics, Physics, or Computer Science
-Students having a Bachelor of Engineering (BE) in Electrical Engineering and related field.
-Engineering students can attend this master program in parallel to the last year of their engineering curriculum
Non
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/admission/droits-dinscription
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:
http://www.shanghairanking.com/shanghairanking-subject-rankings/telecommunication-engineering.html
Laboratoire des Signaux et Systèmes
Systèmes et Applications des Technologies de l'Information et de l'Energie.
Le programme sera bientôt affiché.
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Lettre de motivation.
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Lettre de recommandation ou évaluation de stage.
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Tous les relevés de notes des années/semestres validés depuis le BAC à la date de la candidature.
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Curriculum Vitae.
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Descriptif détaillé et volume horaire des enseignements suivis depuis le début du cursus universitaire.
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Attestation de niveau d'anglais (obligatoire pour les non anglophones).
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Dossier VAPP (obligatoire pour toutes les personnes demandant une validation des acquis pour accéder à la formation) https://www.universite-paris-saclay.fr/formation/formation-continue/validation-des-acquis-de-lexperience.
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Fiche de choix de M2 (obligatoire pour les candidats inscrits en M1 à l'Université Paris-Saclay) à télécharger sur https://urlz.fr/i3Lo.
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Document justificatif des candidats exilés ayant un statut de réfugié, protection subsidiaire ou protection temporaire en France ou à l’étranger (facultatif mais recommandé, un seul document à fournir) :
- Carte de séjour mention réfugié du pays du premier asile
- OU récépissé mention réfugié du pays du premier asile
- OU document du Haut Commissariat des Nations unies pour les réfugiés reconnaissant le statut de réfugié
- OU récépissé mention réfugié délivré en France
- OU carte de séjour avec mention réfugié délivré en France
- OU document faisant état du statut de bénéficiaire de la protection subsidiaire en France ou à l’étranger.