Master in Signal and image processing

Master in Signal and image processing

Signal image processing methods and applications

Presentation and goals

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.

Presentation

Presentation

Further information

  • Partner laboratories : GIPSA-LAB, IPAG, ISTERRe, LISTIC, ENS-LYON, Laboratoire Hubert Curien
  • Partner companies (non exhaustive list) : CEA, Thales, Trixel, EDF

International dimension :

Formation tournée vers l’international

Programme

Programme

Practica, projects, and missions

Duration: 5-6 months

A 5 to 6 months internship in a research lab or in a company involved in R&D is part of the cursus.

Registration and scholarships

Registration and scholarships

Access condition

  • Access to master 1st year : The candidate should have a license degree, studied 3 years in university level or validated an equivalent of 180 ECTS in the fields of applied mathematics, computer science or electronic systems
  • Access to master 2nd year : The candidate should have a master 1st level, studied 4 years in university level or validated an equivalent of 240 ECTS in the field of applied mathematics, computer science or electric systems. Also, the candidate should prove sufficient english level (CEFR (B2), TOEFL (IBT 87-109), IELTS (5.5-6.5), TOEIC (785-945) or equivalent)

Candidature / Application

See the website