MSc Control and Robotics
Signal and Image Processing (CORO SIP)

Programme Objectives

The Signal and Image Processing (SIP) programme provides the necessary skills in signal modelling, image processing and machine learning, relevant to the theory and the practice of data analysis and information retrieval, for the development of modern numerical methods.

Courses address the theory and the practice of advanced data analysis techniques, from computational statistics, applied mathematics, scientific computing and numerical imaging, to their practical implementation in several fields such as biomedical engineering, imaging science, audio processing and information technology.

The key feature of the programme is the design of mathematical solutions, for signal and image processing problems, accounting for the physical specificities of this data and adapting the numerical implementation of these solutions to the application context, the data amount and the available computational resources.

The programme of study lasts two academic years - denoted by M1 and M2. Signal and Image Processing is one of three specialisms available as part of the MSc Control and Robotics programme. Some of the M1 courses are the taught across the three specialisms whereas the M2 courses are specialism-specific. See course content for more details. 

The language of instruction is English across the two years.

This MSc programme is fully accredited by the French Ministry of Higher Education and Research.

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Course Content

30 ECTS Credits per semester.
Language of instruction: English

M1 Year - 2023/24
Autumn Semester Courses ECTS Spring Semester Courses ECTS
Signal Processing  5 Group Project 6
Classical Linear Control 5 Optimization Techniques  5
Artificial Intelligence 6 Mobile Robots 5
Algorithmics and programming 4 Systems Identification and Signal Filtering 4
Mathematical Tools for Signals and Systems 4 Computer Vision 4
Embedded Computing 4 Spectral and Time Frequency Analysis 4
Modern Languages * 2 Modern Languages * 2

* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'

NB Course content may be subject to minor changes
M2 Year - 2023/24
Autumn Semester Courses ECTS
Statistical signal processing and estimation theory  4
Design of signal and image representations  4
Machine learning, data analysis and information retrieval  4
Signal and image restoration, inversion methods  4
Mathematical tools for signal and image processing  4
Biomedical signals, images and methods  4
Bibliographical research project  4
Modern Languages *  2

* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'

NB Course content may be subject to minor changes
Spring Semester ECTS
Master Thesis/Internship                                                  30

Examples of previous internships:

  • Analysis and visualization of physiological signals
  • Inverse problems for lens-free imaging of nanostructured surfaces
  • Survival analysis and graph representations
  • Early fusion of multiple MRI sequences for enhancing pathologic case retrieval systems in radiology
  • Coherence-based denoising for ultrasound small vessels imaging
  • Target detection and segmentation algorithm based on deep learning and application of big data technology in satellite remote sensing
  • Automatic reading recognition for pointer meters based on machine vision
  • Synthetic data generation for privacy purposes
  • Recognition of infrared protocols for AC systems using machine learning
  • 3D and 4D data processing with quaternion tensor decompositions
  • Simulation study of linearized weighted least square estimation for inverse polynomial model
  • Joint sparse decomposition of multivariate signals based on optimal transport
Skills developed
  • Establish a relevant statistical model for data representation and analysis
  • Propose a methodological solution and its numerical implementation suited to the application context
  • Acquire a solid background on real-life applications of signal and image processing in research and innovation

In addition to the above specialism-specific skills, students will also develop more general skills:

  • Identify models, perform simulations and analyse results
  • Undertake a literature survey of existing works on a scientific problem
  • Communicate comprehensive results in a meaningful way
  • Manage and supervise research and innovation projects

Download syllabus | CORO SIP 2022/2023

Facilities and Partnerships

Faculty and Research Facilities

This MSc relies on Centrale Nantes’ faculty and the research facilities of the LS2N Laboratory and, in particular, of the SIMS (Signal, Image and Sound) research group. The activity of the Signal, Image and Sound Team (SIMS) is in the field of statistical signal and image processing. The research work carried out by the team members is based on methodological questions most often inspired by applied problems from a wide variety of fields, such as physics, biology, health, engineering and industrial instrumentation.


The programme has linked up with the following companies/institutions for course projects, internships and as future employers: Nantes University Hospital (CHU), The Phased Array Company, Octopize, Alten, Vaisala, ELLCIE HEALTHY, Shanghai Jiahan Automobile Trade Center, Center of Intelligent Acoustics and Immersive Communications, French public research laboratories.
  • Apply online on the eCandidat platform
  • 2023/24 intake: applications closed
  • 2024/25 intake: applications will open in October 2023
Application process

Application rounds

  • Applications are reviewed in rounds. M1 applicants may apply in any of the three M1 rounds, and M2 applicants in either of the two M2 rounds. Applications should be submitted on the eCandidat platform as early as possible, but before the deadlines below;
  • Applications are not considered 'complete' until all required elements are submitted. Only complete applications received by the round's deadline will be considered in that round;
  • The admissions board reviews applications at the conclusion of each round and notifies each applicant of the outcome of their application;

Accepting your place

  • Successful applicants must accept their place on the eCandidat platform by the deadlines below;
  • The first installment of tuition fees must be paid by the deadlines below to definitively secure the applicant's place on the programme.

Important dates for the 2023 intake

M1 | Round 1 M1 | Round 2 M1 | Round 3 M2 | Round 1 M2 | Round 2
Submit your complete application by 14 December 28 February 30 April 30 March 30 April
You will be notified of the outcome of your application by 27 January 24 March 26 May 28 April 26 May
Accept your place by 14 February 10 April 11 June 11 May 10 June
Pay your first tuition installment by 31 March 25 May 15 June 30 May 15 June
Admission requirements

Admission requirements for the first year (M1)

  • International students with a bachelor's degree (Bachelor of Engineering, Bachelor of Science, Bachelor of Technology) or equivalent, in a field related to Science and Technology
  • French and European students with a 'license' qualification or equivalent.
  • Students must have graduated from the above before the end of August in order to enrol in a Master's Programme at Centrale Nantes in September.
  • Applicants must have a good level in Mathematics and be fluent in English - written and spoken. An applicant whose native language is not English is required to pass a recognised international test of English*:
    • TOEFL - IBT 80, or ITP 550, paper-delivered test 60,
    • Cambridge B2 First Test - 173 or higher,
    • Cambridge C1 Advanced Test - 160 or higher,
    • IELTS - 6.5 or higher,
    • TOEIC - 800 or higher.
  • Applicants who carried out their studies in English (you must provide an official confirmation letter from your university) are eligible without passing such a test, but providing the results of a recognized international test can add value to the application.
  • Students who completed their studies in the countries listed below are exempted from submitting a language certificate: Antigua and Barbuda, Australia, The Bahamas, Barbados, Belize, English-speaking Canada, Gambia, Ghana, Grenada, Guyana, Republic of Ireland, Jamaica, Kiribati, Liberia, Mauritius, Micronesia, New Zealand, Nigeria, Papua New Guinea, St. Kitts-Nevis, St. Lucia, St. Vincent, Sierra Leone, Solomon Islands, Trinidad and Tobago, United Kingdom, United States of America, Zambia or Zimbabwe.

*no other test is recognised.

Language of instruction

Fully taught in English.

Admission requirements for the second year (M2)

Students who have successfully completed a first year MSc programme can apply for the second year MSc programme.

Language of instruction

Fully taught in English.
Required documents

When applying for a Centrale Nantes MSc Programme you will be asked to provide the following documents:

  • Your official transcripts
  • A CV/Resume and cover letter
  • Your diploma
  • Proof of English proficiency
  • Two letters of recommendation
  • Your passport or other form of official identification

Your documents must be uploaded in English or French. If the original version of your documents is not in one of these two languages, a certified translation by a sworn translator is required.

Apply online
Apply online on the eCandidat platform

How to use the eCandidat platform:


Your application in 5 easy steps:

Contact and admissions support

Master Admission Office
Tel: + /

Chinese students:
Indian students:

Tuition fees and financing

Fees for non-European students:

  • Master 1 year: €9,000
  • Master 2 year: €6,000

A reduction of €1,500 for the first year of study is granted to non European international students who make their first tuition payment within one month of being offered a place on the programme.

Fees for European students:

€243 per year


Different scholarships are available for students enrolling in a MSc Programme at Centrale Nantes:
  • Centrale Nantes Elite Scholarship
  • Government scholarships
  • Inter-government scholarships
  • Industry scholarships
  • Scholarships from organisations
  • European Programmes
Why choose this MSc?

why choose Master CORO SIP 1

why choose this MSc

After the MSc

Career Prospects

  • Sectors: health, communication, instrumentation technology, computer science, research and development
  • Fields: biomedical engineering, industrial imaging, medical imaging, telecommunication engineering, audio engineering, data science, applied mathematics

Where are they now?

► Find out what our recent MSc graduates are doing now
What our students / graduates say

Read what our students and graduates have to say about the programme: coming soon

Meet the Programme Supervisors

Sébastien Bourguignon, M2 Programme Supervisor CORO SIP

Sébastien Bourguignon is an assistant professor in Signal and Image Processing at Centrale Nantes. His interests concern inverse problems methodology, statistical inference and optimization algorithms, with applications in ultrasonic imaging, nondestructive testing, hyperspectral imaging, and astronomical and planetary data analysis.

Elwan Héry, M1 Programme Supervisor CORO

Elwan Héry is an associate professor at Centrale Nantes and at the LS2N (Laboratory of Digital Sciences of Nantes) in the ARMEN team (Autonomous Robots and Control of Interactions with the Environment). His main research interests are in perception, localization and mapping for autonomous vehicles and mobile robots.

Olivier Kermorgant, Programme Supervisor CORO

Olivier Kermorgant is a graduate of Centrale Paris, with a PhD from Inria Rennes-Bretagne Atlantique. His career history includes a teaching position at Télécom Physique Strasbourg and a research engineer position at IRT Jules Verne, working on the prototyping of an autonomous mobile robot in the ship industry. Since 2015 he has been an associate professor at Centrale Nantes and a researcher in the LS2N in the ARMEN team.
Campus facilities
Centrale Nantes houses 17 buildings on a 40-acre green campus. In addition to the standard facilities of a university campus (classrooms, media library, computer rooms, etc.), it is home to 13 research platforms, some of which are unique in France, and modern and varied sports facilities, the Centrale-Audencia-Ensa incubator and vibrant student life. Facilities on the Centrale Nantes campus:

  • 45 classrooms
  • 6 lecture theatres 
  • 13 computer rooms (with nearly 180 fully equipped PCs and extended opening hours)
  • 1 media library
  • 5 research institutes
  • Sports and cultural facilities: 1 gymnasium, 1 multisport/dojo hall, squash courts, 1 piano room
  • 1 student house
  • Student halls of residence and accommodation support
  • 1 online platform for students, Onboard, with timetables, grades, attendance management, distance learning and teaching resources,
  • 1 Moodle platform (Hippocampus) with collaborative functionality available to faculty and students (additional resources, working groups, forum, online assessments, etc.).
  • Students also have access to meeting rooms / learning innovation / videoboxes equipped with video projectors, cameras, interactive whiteboards, etc., for their classes, presentation preparation, project work, etc.
  • 1 lifelong email address and an individual digital workspace and storage space, with remote 24H access.

Virtual Tour

Explore the campus with its classrooms, research platforms, student life and sports activities: Take the virtual tour

Published on March 25, 2017 Updated on May 25, 2023