Overview
One of the greatest challenges of modern science is to understand how the brain processes information in order to imitate its computing and learning capabilities (Artificial Intelligence, neuromorphic circuits, machine learning) and to compensate the brain failures with computational and technological tools (Closed-Loop Neurosciences, Brain Computer Interface).
The M2 Computational Neurosciences and Neuroengineering training program at Paris-Saclay University is based on experimental, computational and theoretical approaches, combining neurosciences, physics, applied mathematics and computer sciences at different scales (cell, network, behaviour) and different organizational levels (micro, meso- and macroscopic scales). Thanks to the reputation of the laboratories and research teams involved, the Master degree offers a very high level courses programme with a high international visibility.
Career prospects
Engineer jobs and PhD projects in academic, industrial laboratories, integration in R&D departments in France or abroad, represent the main opportunities in the following fields :
- Neuromorphic comptine tools,
- Neuro-robotics,
- Cognitive and functional stimulation
- Visual, auditory, sensorimotor prostheses
- Technological tools for neurological and neurodegenerative pathologies
- Brain-machine interface
- Nerve signal processing
- Neuro-inspired learning
- Artificial intelligence
Programme Structure
Courses include:
- Physiological bases of neurosciences
- Neural bases of perception
- Methods for measuring and stimulating neuronal activity
- Machine learning
- Dynamical systems and computational neuroscience
- Closed loop neurosciences
- Supervised project
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Credits
Delivered
Campus Location
- Paris, France
Disciplines
Biology Neuroscience Machine Learning View 10 other Masters in Machine Learning 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
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- The Computational Neurosciences and Neuro-engineering (CNN) Master courses programme targets students with a range of backgrounds, including Life Sciences, Computing Science, Mathematics, Physics and Engineering.
- Curriculum Vitae.
- Motivation letter.
- All transcripts of the years / semesters validated since the high school diploma at the date of application.
- Copy diplomas.
- VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
- 2nd letter of recommendation (compulsory for candidates who have already been enrolled in higher education in France before).
- Student with level equivalent to Master 1 or Master 2
- Student with level equivalent to engineer degree
- English level equivalent to B2 certification
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 Paris-Saclay University and/or in France, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents250 EUR / year≈ 250 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals250 EUR / year≈ 250 EUR / year
Living costs
Paris
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for M2 Computational Neurosciences and Neuroengineering.
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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