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Overview
Through its innovative approaches to mentoring, Modeling of Neuronal and Cognitive Systems programme offered by the Université Côte d'Azur aims to foster natural curiosity and autonomy in students.
The goal is to develop active researchers at the interface of applied mathematics and cognitive sciences.
Objectives
Graduates will have acquired the basic knowledge in mathematics, statistics, computer science, biology and cognitive science needed to model neurocognitive systems.Moreover, students will have been able to specialise in a domain of interest thanks to the projects conducted in UCA laboratories. All these laboratories are members of the C@UCA core program "Cognitive systems, normality and pathology of the human brain, computationnal neuroscience".
The areas of specialisation include medecine, mathematics, linguistics, physics, experimental economics, psychology, computer science, neurophysiology and chemistry of olfaction. Throughout the program, students will be confronted several times with interactions in all these fields, especially in group work.
This will give each student the unique opportunity to progressively make individual choices, acquire autonomous thinking and work in an interdisciplinary setting. International mobility and Research & Development work in private companies will also be encouraged through internships.
Careers
Both of the Mod4NeuCog tracks provide a thorough introduction to a variety of computational and experimental methods, and also give an overview of state-of-the-art research in neuroscience, cognitive science and machine learning. Our graduates are prepared to enter a high-quality PhD program or to work in private R&D industrial positions in a wide range of areas including neuroscience, cognitive science, computer science and applied mathematics.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Modelling in neuroscience and cognition
- Behavioural and cognitive neuroscience
- Computational modelling and simulation
- Prospective research and innovation
- Stochastic models in neurocognition and their statistical inference
- Dynamical systems in the context of neuron models
- Functional neuroimaging and data processing
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Credits
141 ECTS
Delivered
On Campus
Disciplines
Applied Mathematics Neuroscience Cognitive Sciences View 7 other Masters in Neuroscience in FranceAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Candidates should have a bachelor's or an equivalent degree in mathematics, computer science, biology, psychology, electrical engineering, economics or linguistics.
- In addition, they will have to provide evidence of their ability to follow mathematical courses at a rapid pace (preparatory classes, double degree, syllabi of previous mathematics courses and evidence of good grades in these courses, recommendation letters, etc).
- Students must also provide a motivation letter explaining their interest in neuroscience and cognition and briefly describing a project they would like to develop. The admission will be selective, based on the students' application materials.
Tuition Fee
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International
4000 EUR/yearTuition FeeBased on the original amount of 4000 EUR per year and a duration of 24 months. -
EU/EEA
4000 EUR/yearTuition FeeBased on the original amount of 4000 EUR per year and a duration of 24 months.
Funding
Financial aid (need-based or merit-based scholarships) will be available to students, and other sources of funding will also be available through each training course.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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