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 2027-09-02 00:00:00
- Apply before 2027-06-30 00:00:00

Language

English

Credits

60 ECTS

Delivered

On Campus

Campus Location

Paris, France

Disciplines

Biology Neuroscience Machine Learning View 27 other Masters in Biology in France

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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

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

254 EUR / year

≈ 254 EUR / year
EU/EEA Applies to you

Applies to you

EU/EEA Nationals

254 EUR / year

≈ 254 EUR / year

Living costs

Paris

France

1195 - 1778 EUR / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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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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