Doing a master's as part of the Graduate Programme

The IKS Graduate Programme includes 10 master’s courses. All teaching takes place in English.

10 master’s courses specialized in mathematics, physics, nanoscience, biotechnology, philosophy and psychology 

You will acquire a solid foundation in reading and writing argumentative texts and will be equipped to take part in contemporary philosophical debates, in particular relating to the information and knowledge society. You will be qualified to work in research and teaching, but also journalism or communication.

Keywords: philosophy of mind and cognitive science; social epistemology; extended cognition; personal identity; virtual reality; transhumanism; ethics and political philosophy.

Further information: Parcours Contemporary Philosophy

You will become an expert in the normal and pathological functioning of neurocognitive and affective processes. You will benefit from in-depth academic training in psychology and cognitive neuroscience with applications in healthcare for the diagnosis and management of cognitive and emotional deficiencies. This course places great importance on the involvement of digital technologies in neuropsychological intervention (virtual reality, connected devices, assistance technologies, etc.). You will be qualified to work in the healthcare and social sectors, as well as research & development in the private sector.

Keywords: cognitive psychology; affective neuroscience; neuropsychology; research on cognition and emotions; psychological evaluation technologies; digital tools for educational and clinical applications.

 

Further information: Parcours PPNAS

You will become an expert in cognitive science with a solid foundation in psychology in the worlds of computer science and behavioural science. Emphasis in this course is on cognitive, affective and language-related processes, as well as on the relationships between perception and action that enable each of us to interact with other individuals and environments, whether real or virtual. Upon graduation, you will be equipped to design human-machine interfaces that account for the physical, physiological and psychological specificities of humans. You will be qualified to join the R&D department of a company.

Keywords: experimental psychology; behavioural neuroscience; modelling human cognition; digital tools with clinical applications; applied computer science; machine learning; UX and UI design; virtual reality.

Further information: Parcours SCE

Parcours interdisciplinaire qui vise à former des physiciens, des étudiants en microsystèmes, des biologistes, aux approches quantitatives et intégratives modernes des systèmes vivants et à leur apporter des connaissances générales en biologie cellulaire, imagerie du vivant, biologie des systèmes et computationnelle, et microsystèmes. Des cours en gestion de projet, conception expérimentale, analyse de données et communication scientifique vous seront également donnés. Les notions d'information biologique et de biomimétisme seront également abordées.


Plus d’informations : Parcours Life Science and Technology (LST)

Vous serez formé-e à la conception et à la programmation de systèmes embarqués afin d'optimiser leur coût tout en garantissant sécurité et robustesse. A l’issue de la formation, vous pourrez travailler dans l’industrie aéronautique, ferroviaire ou automobile, en robotique industrielle, pour concevoir des appareils intelligents et plus généralement des objets connectés.

Mots-clés : Intelligence ambiante ; appareils respectueux de l'environnement ; logiciel critique sûr ; confidentialité et sécurité; applications pour E-santé, E-mobilité, E-agriculture, villes intelligentes, Industrie 4.0.

Plus d’informations : Parcours Internet des Objets (IoT)

Vous obtiendrez une formation complète et solide en mathématiques fondamentales et appliquées dans les domaines suivants : analyse, analyse numérique et équations aux dérivées partielles, géométrie, probabilités et statistiques. Vous serez prêt à travailler pour la recherche et à poursuivre une thèse de doctorat.
Environnement stimulant du Labex CEMPI et des laboratoires associés
Plus d’informations : Parcours Mathématiques Recherche

You will be able to understand models based on physics and industry, and design and use optimal simulation methods to solve them on supercomputers. This includes the digital integration of partial differentiation equations, parallel and distributed computing, and GPU programming. Specialisation in computational science is much sought after by companies today, comparable to the role of data scientist.

Keywords: simulation and optimisation for sustainable design; human-centred modelling and simulation; mathematical tools with sociable applications; energy-efficient computing; HPC for industry 4.0.

Further information: https://www.univ-lille.fr/formations/fr-00002054.htmlParcours Calcul Scientifique

You will acquire the knowledge you need to contribute to research and the development of breakthrough technologies in micro energy sources, super-fast wireless communication, material applications of artificial intelligence, sensors and actuators and the tools for their manufacture. All of these advanced technologies are essential for the intelligent electronic systems of the future. Upon graduation, you will be qualified to work in R&D for major microelectronic firms, SMEs or academic research units.

Keywords: neuromorphic technologies, technologies of the Internet of Things (IoT); UHD telecom; smart energy; micro devices; materials for micro and nano devices; nanocharacterisation; applications for e-healthcare, e-mobility and e-farming; smart cities; Industry 4.0.

This Master’s degree is jointly accredited by the University of Lille and Centrale Lille Institut.

Further information: Parcours E-Tech

 

This program offers physicists the chance to specialise in optics and its applications for lasers, telecommunications, cold atoms and the study of complex systems. You will learn how to analyse a scientific problem as well as model and describe a physical system, in both theoretical and experimental terms. You can choose from classes with an emphasis on complex systems or on communications, combining photonics and THz wireless communication.

Keywords: physics; photonics; classical and quantic optics; optical fibres; lasers; light matter; interaction; complexity; information superhighways; turbulence; guided waves; deep tech

 

Stimulating environment: Labex CEMPI and associate laboratories

Further information: Parcours SCOL

 

This programme focuses on data processing and machine learning and the interface between mathematics, computer science and signal processing. There is currently a high level of demand for qualified data scientists in R&D and industry, linked to the rise of artificial intelligence in several sectors (transport, healthcare, marketing, civil engineering, Industry 4.0, videogames, etc.).

This course will give you a solid foundation in mathematics (statistics, probability, optimisation) and computer science (algorithms, complexity, databases) with an emphasis on statistical learning and connected disciplines (signal and image processing, graphs and networks, etc.).

Keywords: artificial intelligence; data analysis; statistical learning; statistics; probability; optimisation; algorithms.

This Master’s degree is jointly accredited by the University of Lille and Centrale Lille Institut

 

Further information: Parcours Science des données

Course structure

Each master’s course has its own structure, with lectures and practicals using cutting-edge scientific equipment in research laboratories, as well as several traineeships. 

Applying for a master’s course

Depending on your country of residence, you will have to follow either the StudyinFrance registration procedure by Campus France or the e-candidat procedure.

You will find more information on the pages relating to the master’s courses on the University of Lille website. 

Tuition fees

All non-European master’s students, engineering courses, master’s in healthcare and PhD students are automatically partially exempt from the “different tuition fees” and are aligned with the standard registration fees, i.e. those paid by European and French citizens. The amount will depend on the level of your course:

  • 243€ for a master’s course
  • 380€ for a PhD. 

Please note that additional fees must also be paid: CVEC (contribution to student and campus life).

All students at the University of Lille (European and non-European) must pay the CVEC, which costs 92€.