A path to excellence
for Master and PhD students

List of the Masters tracks involved

10 Master tracks
in computer science, data science, nanosciences, mathematics, physics, biotechnology, cognitive sciences and philosophy

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: Contemporary Philosophy master track

See also: Master LILIPHI international websiteMaster LILIPHI (PDF document in english)


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: PPNSA master track 

The M1 track is taught in French, the M2 track is taught in English

See also the website of the PPNSA master track


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: Sciences Cognitives pour l'Entreprise (Cognitive science for business purposes)

The M1 track is taught in French, the M2 track is taught in English

See also the website of the Cognitive science for business purposes master track




This interdisciplinary course aims to train physicists, microsystems students and biologists in modern quantitative and integrative approaches to living systems and to provide them with general knowledge in cell biology, life imaging, systems and computational biology, and microsystems. Courses in project management, experimental design, data analysis and scientific communication will also be provided. The concepts of biological information and biomimicry will also be covered.

Further information: Life Sciences and Technologies master track 



You will be trained in the design and programming of embedded systems in order to optimise their cost while guaranteeing safety and robustness. On completion of the course, you will be able to work in the aeronautical, railway or automotive industry, in industrial robotics, to design intelligent devices and more generally connected objects.

Keywords: Ambient intelligence; environmentally friendly devices; secure critical software; privacy and security; applications for E-health, E-mobility, E-agriculture, smart cities, Industry 4.0.

Further information: Internet of Things and Cybersecurity master track


You will obtain a thorough and solid training in fundamental and applied mathematics in the following areas: analysis, numerical analysis and partial differential equations, geometry, probability and statistics. You will be prepared to work in research and to pursue a doctoral thesis.

Further information:

The M1 track is taught in French, the M2 track is taught in English



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:

The M1 track is taught in French, the M2 track is taught in English


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: E-Tech master track


This programme 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.

The first year provides you with a solid general background in physics. The second year focuses on photonics, complex and quantum systems. 

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

Further information:


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: Data Science master track


Information about the Masters

English taught courses

All our Masters courses are taught in English, providing a unique opportunity to explore the world of knowledge in a multicultural atmosphere. Using English as your main language also enhances your ability to compete in the global job market and work in international professional environments. You will have the chance to interact with fellow students from all over the world, to broaden your horizons and develop valuable intercultural skills.

Organisation of Master tracks

Master courses are organized around the general theme of the course. In addition to lectures, practical work using state-of-the-art scientific equipment and internships in research laboratories provide practical training in research. The graduate program Information and Knowledge Society also offers interdisciplinary activities, bringing together the various Master tracks and interested doctoral students around common questions.

Applying for a master track

Depending on your origin and country of residence, you will need to follow different registration procedures to be accepted into the master track of your choice.

You'll find more information on our Master track application pages.

Tuition fees

All non-European students enrolling in a Master course at the University of Lille automatically benefit from a partial exemption from "differentiated tuition fees". Their tuition fees are aligned with those paid by French and European citizens, and therefore amount to:

  • 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€