Overview
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.
Programme Structure
Semester 7 M1
Complementary teachings
- Workshop
- The challenges of corporate social responsibility
- Continuation of studies/graduation meeting
- Company visits
- Atelier CV
- Entreprise meeting
International Relations Meeting
- TU Computational statistics and statistical learning
TU Initiation to experiment design and research
TU Foreign Language I
- TU Lab project I
- TU Scientific programming
- TU Signals and systems
Semester 8 M1
- TU Lab project II
TU Image processing
TU Dynamics system analysis
TU Data challenge
TU Specialisation course:
Block Specialisation course Natural and Artificial Cognition
Block Specialisation course NanoMedicine and structural biology
Block Specialisation course Signal ImaGe processing Methods and Applications
TU Foreign Language II
Semester 9 M2
Complementary teachings
- Partener's days
Choose Option SIGMA :
EEH path (Energy, Environment & Health)
IMMAC path (Image, Multimedia, Audio & Communication)
More information on our website
Audience
Jobs: jobs in the research and developpement sector for signal and image processing.
Industrial / Research sectors: Health, Telecommunication, Defense, Universe science (geophysics, astrophysics),...
Further learning activites : PhD programs in the domain of Information technology and telecommunication.
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- Grenoble, France
Disciplines
Computer Sciences Artificial Intelligence Machine Learning View 54 other Masters in Artificial Intelligence in FranceWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- M1: The candidate should have a license degree, studied 3 years in university level or validated an equivalent of 180ECTS in the fields of applied mathematics, computer science or electronic systems
- M2: The candidate should have a M1 level, studied 4 years in university level or validated an equivalent of 240ECTS 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).
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Grenoble INP, Graduate schools of Engineering and Management, Université Grenoble Alpes and/or in France, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents3879 EUR / year≈ 3879 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals250 EUR / year≈ 250 EUR / year
Living costs
Grenoble
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Master Signal ImaGe processing Methods and Applications (SIGMA).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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