Présentation
Master
Diplôme national- Structure(s) de rattachement Grenoble INP - Phelma
- Grade Master
- Année de sortie Bac + 5
- Niveau de sortie Niveau 7
- Mention
- Traitement du Signal et des Images
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Ville
- GRENOBLE Presqu'île
- Durée 2 ans
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Accessible en
- Formation initiale
- Formation continue
Résumé
This master proposes the students to deepen their knowledge and develop their expertise.
In the field of digital signal and image processing, computer sciences and information technologies. A particular emphasis is put on fundamental modern tools for signal and systems modeling, information extraction from experimental data as well as information representation and conditioning.
In the field of digital signal and image processing, computer sciences and information technologies. A particular emphasis is put on fundamental modern tools for signal and systems modeling, information extraction from experimental data as well as information representation and conditioning.
To acces the dedicated website, click here.
Objectifs
The program is dedicated to provide the students the necessary competences to become creative specialists in various areas involving numerical technologies, such as biomedical signal processing, observational sciences (geosciences, monitoring, remote sensing,), artificial intelligence (machine learning, statistical inference, computational Bayes methods) to mention a few.
The master is designed to prepare for PhD studies in the fields of electrical engineering and computer sciences, with a focus on digital methods. An important part of the lectures is dedicated to introduce present research and development topics ; this teaching is organized into a series of short lectures given by professional and researchers from companies or labs developing research or applications in the field of information technologies. A 5 to 6 months internship in a research lab or in a company involved in R&D is part of the cursus.
The master is designed to prepare for PhD studies in the fields of electrical engineering and computer sciences, with a focus on digital methods. An important part of the lectures is dedicated to introduce present research and development topics ; this teaching is organized into a series of short lectures given by professional and researchers from companies or labs developing research or applications in the field of information technologies. A 5 to 6 months internship in a research lab or in a company involved in R&D is part of the cursus.
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Formation en collaboration avec
Laboratoires- GIPSA-LAB,
- IPAG,
- ISTERRe,
- LISTIC,
- ENS-LYON,
- Laboratoire Hubert Curien.
EntreprisesNon exhaustive list
- CEA
- Thales
- Trixel
- EDF
Autre(s) établissement(s) délivrant le diplômeCo-accréditation : Université Grenoble Alpes (Phitem)
Admission
- Niveau(x) de recrutement Bac + 3, Bac + 4, Bac + 5
- Formation(s) requise(s)
M1 : Le candidat doit être titulaire d'une licence, avoir étudié 3 ans au niveau universitaire ou validé un équivalent de 180 ECTS dans les domaines des mathématiques appliquées, de l'informatique ou des systèmes électroniques. Le candidat doit également justifier d'un niveau d'anglais suffisant (CEFR (B2), TOEFL (IBT 87-109), IELTS (5.5-6.5), TOEIC (785-945) ou équivalent).
M2 : Le candidat doit être titulaire d'un M1, avoir étudié pendant 4 ans au niveau universitaire ou avoir validé un équivalent de 240 ECTS dans le domaine des mathématiques appliquées, de l'informatique ou des systèmes électriques. Le candidat doit également justifier d'un niveau d'anglais suffisant (CEFR (B2), TOEFL (IBT 87-109), IELTS (5.5-6.5), TOEIC (785-945) ou équivalent).
Le double diplôme Ingénieur/Master est accessible aux élèves ingénieurs de Phelma qui ont validé la 2e année de la filière SICOM.
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Accessible en :
- Formation initiale
- Formation continue
Conditions d'admission
Programme
- Durée des études 2 ans
- Stage obligatoire/à l'étranger
Programme
M1
Parcours dispensé entièrement en langue Anglaise.
M2
Parcours dispensé entièrement en langue Anglaise.
International
- Langue(s) d'enseignement M1 : french language and english support
M2 : 100% english - Stage à l'étranger Oui
Débouchés
- Année de sortie Bac + 5
- Niveau de sortie Niveau 7
Débouchés professionnels
Professional skills
SIGMA offers a unique track, it allows students to choose courses more adapted to their project ; skills acquired thus will be based on core course to all students and are available on the following topics at the heart of science data (Data Sciences)
SIGMA offers a unique track, it allows students to choose courses more adapted to their project ; skills acquired thus will be based on core course to all students and are available on the following topics at the heart of science data (Data Sciences)
- Signal and systems modelisation, random process;
- Formating, extracting et analysing data in complex systems: Inverse problem, detection, statistical machine learing. Big data technics.
- Applications en imagerie multi et hyper-spectrale, applications biomédicales, neurosciences, astro, géosciences…
Jobs : jobs in the research and developpement sector for signal and image processing.
Industrial / Research sectors: Health, Telecommunication, Defense, Universe science (geophysics, astrophysics...).
Poursuites d'études
PhD programs in the domain of Information technology and telecommunication.
Contacts
Renseignements pratiques
Grenoble INP - Phelma
3, Parvis Louis Néel - BP 257
38016 Grenoble Cedex 1
Tél. : +33 4 56 52 91 00
Fax : +33 4 56 52 91 03
Mél
Sur Internet
3, Parvis Louis Néel - BP 257
38016 Grenoble Cedex 1
Tél. : +33 4 56 52 91 00
Fax : +33 4 56 52 91 03
Mél
Sur Internet
Autre(s) établissement(s) délivrant le diplôme
Co-accréditation : Université Grenoble Alpes (Phitem)