Planned health : physical and numerical methods in health
Research and innovation in health - and particularly in the prevention, diagnostic, therapy and follow-up of chronic diseases (such as cancer, neurodegenerative diseases, epilepsy, osteo-articular diseases, etc) have ever-increasing needs in terms of instrumentation, experimental methods, storage and treatment of complex data, modelling and simulation, together with new approaches stemming from artificial intelligence.
Innovating to develop advanced physical and digital methods with and for the actors of innovation in health (labs, healthcare institutions, industrial partners) is a major societal challenge that requires new transdisciplinary training at the graduate level.
The program Planned Health is welcoming ambitious students who want to tackle these challenges in healthcare, aging and chronic diseases with innovative physical and numerical approaches.
How to apply
Courses are taught in French or English depending on the Masters programme concerned. The teaching units of the thematic programme are taught in English. A B2 level in English is required to be eligible for the thematic program.To apply to this programme, you must first be admitted to the first year of a Master's programme in one of the following courses:
Master | Year | Academic department | Language |
---|---|---|---|
Methods and Technologies for Health | M1 | Faculté de médecine | French |
Soft Matter and Biophysics | M1 | UFR Phitem | English |
Physics - Research and innovation | M1 | UFR Phitem | French |
BioHealth Engineering | M1 | Faculté de pharmacie | English |
BioHealth Engineering | M2 | Faculté de pharmacie | English |
BioHealth Engineering | 2nd year | Phelma | English |
Artificial Intelligence for Health | M2 | Faculté de pharmacie | English |
Models, Innovation and Imaging (MITI) | M2 | Faculté de médecine | French |
Medical Physics - Radiation Protection of Humans and the Environment | M2 | UFR Phitem | French |
BioHealth Engineering | 3rd year | Phelma | English |
Specific courses for thematic programme
- Collaborative research project in physical and numerical methods in health- The work will be performed in a lab working in innovation in health using physics or numerical approaches. 6ECTS in Master 1, 2nd semester.
- Intensive school at the European Scientific Institute in Archamps to be chosen between ESIPAP or one of the Biohealth Computing schools. 6 ECTS, In master 2nd year.
Doctoral schools involved
- École doctorale Mathématiques, sciences et technologies de l'information, informatique
- École doctorale de physique
- École doctorale Ingénierie pour la santé, la cognition et l'environnement
- École doctorale Électronique, électrotechnique, automatique, traitement du signal