Entry requirements

1st year of master's degree in computer science, or engineer in computer.

Benefits of the program

This curriculum is based on the research activities of the LRT team in Gaspard Monge computer science laboratory (LIGM) and of the GRETTIA laboratory (Cosys department) of IFSTTAR. It offers many professional opportunities, but also the possibility to work in the field of research, because the development of IoT systems and new technologies brings new challenges in terms of communication, transport, security, storage and data analysis (Big Data). The teaching team is composed of researchers involved in collaborative projects with the industry on that topic.

Acquired skills

The skills developed are the design, implementation and assessment of solutions for the Internet of Things (IoT). These skills are about the design of communication mechanisms adapted to system constraints (energy consumption, limited computation and memory capacity), but also the mastering of tools of processing and analysis of massive data collected by sensors. This curriculum enables students to develop several technical skills in the leading-edge field of the IoT: sensor data mining, communication networks in a constrained environment, data and sensor security, quality of service of the network and data, Machine learning, object programming.

Registration details

Applicants in France must submit their application form to the UPEM eCandidate application (https://candidatures.u-pem.fr).
Applicants residing abroad must submit to Campus France / Etudes en France.

Course venue

Schedule of studies

Internship duration : from April to September (at least 4 months).
In the dual study system: one week in the company and one week in the University.

Your future career

Further learning: this curriculum offers students the possibility to study further in a computer science PhD. Moreover, the professional opportunities are numerous: consultant in the field of IoT, Full Stack Programmer for IoT systems, designer of limited-communication systems and protocols, system and network administrator, pre-sales engineer for IoT systems, mobile applications programmer.

Professional integration

The professional opportunities are numerous, not only in industries, but also in the academic world. The main sectors open to our graduates are operators and providers of computing services based on connected objects technologies to companies and individuals. The students may also work in research and development in the fields of networks and the Internet of Things : R&D engineer, network architect, consultant in Internet of Things, Object system and network administrator, project manager, operating manager, integrator, etc.

The students may as well study further in a PhD.

Study objectives

The main goal of the curriculum is to lead computer science students who already have achieved their first year of master’s degree and who want to specialize in a leading-edge field (the Internet of Things) and its applications, espacially in smart cities, 4.0 industry, and Smart Grid.

The goal is to develop theoretical, analytical and practical skills in that field in order to be able to enter the professional or research world.

Major thematics of study

Computer science, networks and telecommunications, data science, limited (embarked, connected, mobile, low resources : energy, computation, memory) systems.

Study organization

Cette formation est composée de deux groupes un en formation intiale (FI) et l'autre en apprentissage. La formation est organisée en trois pariode : Période 1 de Séptembre à Janvier (S3), Période 2 de Janvier à Mars (S4), et Période 3 de Avril à Séptembre (S5). Les cours sont concentrés principalement au niveau de la période 1 et 2. La période 2 se distingue par un grand projet dont les étudiants doivent réaliser un démenstrateur (PoC: Proof of Concept) pour répondre à un besoin d'un client (enseignant, ingénieur, ou une entreprise). La période 3 est dédiée au satge en entreprise qui doit être d'au moins 4 mois. Les étudiants apprentis ont un réferent à l'université (un enseignant de l'équipe pédagogique) nommée Tuteur Enseignant (TE). Les étudiants en formation initial ont un réferent enseignant principalement pour assurer le suivi dans la période 4.

Modalité d'admission en FC :

Le candidat doit avoir un niveau équivalent d'un Master 1 en informatique

Modalité d'admission en FI :

Le candidat doit être titulaire d'un Master 1 en informatique

Modalité d'admission en Alternance :

Le candidat doit être titulaire d'un Master 1 en informatique et être sélectionner par une entreprise pour une mission d'apprentissage dont le contenu est en adéquation avec la formation

Options

No option offered

International

The curriculum is open to ERASMUS programs in which the university is taking part, in the framework of our partnership with the University of Palerme (Italy). Internships may be carried out in a foreign country.

Major thematics of Research

This curriculum is based on the research activities of the LRT team (Software, Networks and Real Time) of Gaspard Monge computer science laboratory (UMR8049 LIGM), but also of the GRETTIA laboratory of the Cosys department of IFSTTAR.

Partenariats :

Laboratoire GRETTIA, département COSYS, IFSTTAR. Cette formation partage un socle commun avec la formation M2SIA (Systèmes Intélligents et Applications) de l'IFSTTAR.

Partenariats :

Laboratoire GRETTIA, département COSYS, IFSTTAR. Cette formation partage un socle commun avec la formation M2SIA (Systèmes Intélligents et Applications) de l'IFSTTAR.