Master Year 2 Electrical Engineering for Communications & Information Processing

The Integration, Circuits and Systems major aims to train future researchers and engineers by providing advanced expertise in electronic design for leading-edge domains such as ultra-high-frequency systems, telecommunications devices and systems, microelectronics, microsystems (MEMS/NEMS), embedded analog and digital systems, high-performance data converters (ADCs and DACs), and hardware-based signal processing. This Master’s degree is delivered jointly by three reference institutions in these fields: CentraleSupélec, Télécom Paris, and Paris-Sud University.

This program aims to enable students to:

• Acquire the fundamental knowledge required for advanced activities in electronic design through a set of core study units. These courses provide both theoretical foundations and practical skills, including hands-on experience with computer-aided design (CAD) tools for analog and digital systems;
• Develop specialized expertise through advanced courses in RF circuits and systems, mixed analog/digital integrated circuits, and nano-architectures. In each domain, students address real-world design challenges, particularly through project-oriented study units that foster practical design experience;
• Have significantly broadened their technical knowledge while also acquiring strong, hands-on experience in state-of-the-art electronic system design.

This Machine learning, Communications and Security major is devoted to information sciences and focuses on the fundamental question: “How to process, transmit, store, and protect information efficiently?” The cross-disciplinary MICAS Master’s program begins with foundational courses in information processing and is structured around three core areas:

• Machine Learning
• Communication Theory and Technologies
• Security

The curriculum is organized into twelve teaching units (UEs) and brings together faculty members from three laboratories of the Institut Polytechnique de Paris (IP Paris): Télécom Paris, Télécom SudParis, and ENSTA. All courses are taught in English over a single semester, from September to February, and are followed by a mandatory internship lasting a minimum of four months.

MICAS provides mathematically oriented students with a strong background in both the theoretical foundations of information processing and the associated technologies. The program prepares graduates to pursue either academic careers or industrial positions in the fields of data science and communication technologies.

This program aims to enable students to:

• Acquire a strong mathematical and practical background in information processing concepts and tools, with state-of-the-art applications in learning, communications, and security;
• Identify complex problems in these fields, understand their interactions, and propose effective solutions, including performance evaluation and limitation analysis;
• Pursue careers across a wide range of domains, both in industry and in academia.

This Multimedia Networking major offers an advanced training in information theory, source coding, signal processing for multimedia, networking, and multimedia security. An important part is devoted to the optimization of network architecture and protocols for the delivery of audio-visual contents. Labs, to make theoretical notions more concrete, illustrate most of the courses. A pluridisciplinary research project prepares students to research. Seminars, whose topics are continuously renewed, present hot research directions, as well as key industrial applications.

This program aims to enable students to:

Gain expertise in the Multimedia Networking domain, including the compression of multimedia content, the transmission of compressed data over networks, and the development of algorithms and network architectures for fast, reliable, and efficient access to multimedia content.

Acquire a solid foundation in information theory, source coding, multimedia signal processing, networking, and multimedia security. A significant focus is placed on the optimization of network architectures and protocols to ensure efficient delivery of audio-visual content.

This Optical Networks and Photonic Systems major aims to train engineers and researchers to meet current challenges relating to optical networks and photonic systems. It offers students the opportunity to design optical communication systems suited to given constraints and required applications. It also covers design cross-layer optical network architectures from physical to higher network layers.

Students will learn how to select optical components according to their performance for current and future solutions. They will then design the photonic devices needed for optical data processing and transport in future networks. The first semester encompasses core courses given by renowned faculty members and world-class industry experts. During the second semester, students will complete an internship to gain practical experience. 

This program aims to enable students to:

• Gain an advanced vertical knowledge about optical communications: device physics, optical transmission, networking, information theory and digital signal processing;
• Apply open knowledge from optical communications to other photonic applications;
• Gain practical experience with substantial laboratory work across all topics;
• Prepare for a career in research or industry.

The Radio Systems major addresses the techniques of design of communication systems at various levels: Radiofrequency (RF) systems, architectures, functions and components. The cursus organization consists of lectures, tutorials, practical work, seminars and projects based on a significant personal involvement. The student’s evaluations are based on written exams, written reports and/or oral defenses.

The program covers the following topics: microwaves techniques used in RF front-ends of transmission systems, notably for communications, radio devices, propagation issues for system deployment, theory and practice of antennas, a knowledge of the main methods of numerical simulation in electromagnetism and propagation (circuits, antennas, propagation channel), associated with computation methods dedicated to specific applications (EMF exposure and dosimetry, localization), an overview of satellite link systems for communications, GNSS and TV broadcasting, the basics of radar, as well as a good understanding of the roles of the physical layer and of the current and emerging medium access methods, and their interactions. 

This program aims to enable students to:

• Acquire mastery of radio and/or guided transmission systems used in telecommunications, satellite and indoor localization, broadcasting, radar, and other sectors, with a particular emphasis on radio communications.
• Understand emerging and future technologies to address the challenges of new services and applications, such as higher capacity, reduced latency, increased reliability, or low throughput combined with additional functionalities (e.g., localization, identification), often targeting a large number of terminals or sensors.
• Optimize the functions and architectures of radio systems to enhance the overall performance and efficiency of communication networks.

La majeure Systèmes Embarqués et Traitement de l’Information vise à former les étudiants non seulement à la discipline mais à ses futurs enjeux industriels. En effet, un nombre croissant d’équipements intègre des fonctionnalités électroniques et informatiques pour réaliser une application donnée dans différents domaines dont par exemple les transports, les télécommunications ou encore la robotique. Ces systèmes embarqués se situent à la frontière de plusieurs domaines scientifiques et nécessitent un large spectre de compétences permettant de maîtriser à la fois la réalisation matérielle, la mise en œuvre logicielle et les algorithmes applicatifs.

Les problèmes scientifiques posés par ces systèmes embarqués sont nombreux et variés. Ils peuvent concerner aussi bien la sécurité que les performances, la maîtrise de la complexité ou encore la perception de l’environnement. Le premier semestre du programme est dédié à l’apprentissage de connaissances théoriques, combiné à des travaux pratiques. Le second semestre est quant à lui dédié à la pratique à travers un projet et un stage.

Ce programme vise à permettre aux étudiants de :

• S’insérer dans des projets de recherche ou de développement de réalisation de systèmes embarqués innovants ;
• Dominer les différents aspects des systèmes embarqués ;
• Se spécialiser dans un des domaines suivants : architectures matérielles, logiciels et temps réel, algorithmes de traitement de données, informatique industrielle.

La majeure TRIED forme des scientifiques des données (data scientists) experts en analyse, traitement et modélisation des données. Ils maitrisent les concepts et les technologies de l’intelligence artificielle. La formation est pluridisciplinaire à la frontière entre les mathématiques appliquées, l’informatique et la physique. L’objectif est d’acquérir les compétences nécessaires au développement d’algorithmes d’apprentissage automatique (Machine Learning) pour des modélisations statistiques complexes dans des domaines applicatifs variés. Depuis quelques années, les étudiants sont formés à l’apprentissage profond (Deep Learning), ces techniques ayant des perspectives importantes dans de nombreux secteurs.

Ce programme vise à permettre aux étudiants :

• d'aborder les différents éléments intervenant dans le traitement des données d’une application, à savoir l’acquisition, l’analyse, la modélisation, la validation et l’interprétation ;
• d'associer systématiquement les enseignements théoriques et pratiques ;
• de mettre en œuvre des cas concrets grâce à plusieurs modules projets, réalisés notamment au sein de laboratoires.

The Virtual and Augmented Reality (VAR) major aims to provide students with the fundamental background and technical skills required to develop innovative industrial applications as well as cutting-edge research projects in the fields of virtual and augmented reality technologies. The program opens up career opportunities in a wide range of industrial sectors, including computer-aided design in aeronautics and mechanical/automotive engineering, architecture and urban planning, digital cinema and visual effects, video games, video surveillance, simulation and control, medical imaging, e-commerce, and e-marketing. Graduates may pursue positions at various levels of responsibility, such as project manager, expert engineer, project designer, or R&D engineer.

This program aims to enable students to:

• Master the fundamental concepts of computer vision (including digital image acquisition, processing, analysis, and understanding, as well as artificial intelligence), computer graphics (geometry primitives, texture mapping, animation and deformation, rendering and lighting algorithms), deep learning techniques, and human–computer interaction (e.g. advanced visual programming, software toolkits, web interfaces, user-centered design, evaluation methods, ergonomics, and robotics);
• Address all key components of virtual and augmented reality systems and applications, including sensors, scene modeling, integration of natural and synthetic content, interaction techniques, spatial and temporal registration, object tracking, and immersive rendering;
• Become familiar with modern software tools and hardware platforms commonly used in AR and VR applications.