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

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.

Contribution to sustainable development goals

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

• M1 Year
• M2 Year

Faculty and Research Facilities

Collaboration

• 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:

 

• Download the user guide
• Connect to eCandidat: https://ecandidat.ec-nantes.fr
• Use the flag (page top right) to select your language.
• Start off by creating your account.
• No application fees.

Your application in 5 easy steps:

Contact and admissions support

Master Admission Office

master.admission@ec-nantes.fr
Tel: +33.2.40.37.68.36 / 33.2.40.37.68.51

Chinese students: lichunlai@ec-nantes.cn
Indian students: application@galaxy-edu.com

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:

Scholarships

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?

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

Virtual Tour