Artificial Intelligence for One Health is an accredited Master's programme. AI4OneHealth is a one-year / 60 ECTS credits, Master's degree, entirely taught in English and 100% online. It is open to well-trained students who have completed a 4 consecutive years of higher education (240 ECTS) in a relevant field, and who have a good command of the English language.
Artificial Intelligence for One Health is an accredited Master's programme. AI4OneHealth is a one-year / 60 ECTS credits Master's degree entirely taught in English and 100% online. It is open to well-trained individuals who have successfully completed 4 consecutive years of higher education (equivalent to 240 ECTS) in a relevant field, and who have a good command of the English language.
Students start the AI4OneHealth programme with an introductive course including self-evaluations and necessary upgrade courses. Upon completion, students will be awarded a Master Degree from Université Grenoble Alpes and they will also receive the "Professional Qualification in Artificial Intelligence" label from the Multidisciplinary Institute in Artificial Intelligence (MIAI) of Grenoble.
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