Master Artificial Intelligence for One Health (AI4OneHealth)

The program offers the opportunity to gain the skills that will make you an expert in this new field, capable of understanding both the complexity of AI methods for analysis of health data and their practical application for the treatment of patients and for the expansion and the improvement of its strategies, based on the One Health concept.

Programme
Semester 1 (30 credits)
Core subjects (12 credits) :
Course Unit (3 credits): Introduction to AI for Health (Michel SEVE)
The Philippe Sabatier BioHealth Computing School - “Learning for Health Data” (6 credits) - Pascal MOSSUZ & ESI (September 2- 6, 2021)
Course Unit (3 credits) : Data management technologies and policies (Sylvain KOTZKI)

Elective subjects - 18 credits to be selected:
Course Unit (3 credits) : Ethical and societal aspects of Artificial Intelligence (Thierry MENISSIER and Alexandre BRETEL)
Course Unit (3 credits) : Neural network modelling AI for Health Applications (Martial MERMILLOD)
Course Unit (3 credits) : Machine learning and Deep learning for health data analysis (Karolos POTAMIANOS)
Course Unit (6 credits) : AI for OMICS data integration(Pascal MOSSUZ)
Course Unit (3 credits) : Application of AI for Healthcare (Sébastien BAILLY)
Course Unit (3 credits) : IOT and AI for Health (Sébastien CHANOINE)
Course Unit (3 credits) : Proteomics for Health Research (Sandrine BOURGOIN-VOILLARD)

Semester 2 (30 credits)
Internship (24 credits):  a minimum of 5 months in a laboratory (in the public-sector/university, or in the industry)
The Philippe Sabatier BioHealth Computing School - “Accelerating Innovations in Precision Oncology” (6 credits) - Jean-François ADAM & ESI, in July 2022

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