Master mention Artificial Intelligence for One Health (master en anglais)
Université de Grenoble
Grenoble

MASTER / DU
Outil proposé par l’ANEPF

Objectif de la formation

The AI4Health master is an international program of the Master in Health Engineering. It aims to train students in new developments and applications of artificial intelligence (AI) methods in health, from the management and analysis of health data, taking into account their ethical and legal aspects, up to new diagnostic and predictive tools for improving patient health. After completing this course, participants will have skills in cutting-edge AI methods and tools for Big Data in Health, including data collection (medical devices, smartphones, IoT, social networks), storage and data processing (extraction, scalable relational databases, Hadoop, Spark, etc), their analysis (machine learning, data compression, efficient algorithms, Omics data), and a range of applications for diagnostics, monitoring and the treatment of patients with cancer and chronic disease. This program is aimed at students in Medicine and Pharmacy but also in Engineering and Mathematics who want to apply their knowledge in health domains.

Compétences développées

Anglais
Débouchés
The competencies acquired during the two semesters and thematic schools will equip students to straightaway assume leadership roles in many areas related to Precision Medicine. After completing their studies, graduates will predominantly work as health professionals, engineers in the medical and MedTech sectors, or in data management.

Organisation de la formation

Semester 1 (30 ECTS)
●Core courses (12 ECTS) :
– Course Unit (3 ECTS): Introduction to AI for Health
– The Philippe Sabatier BioHealth Computing School – “Learning for Health Data” (6 ECTS, September 2021)
– Course Unit (3 ECTS) : Data management technologies and policies

Courses at choice (18 ECTS):
●Course Unit (3 ECTS) : Ethical and societal aspects of Artificial Intelligence
●Course Unit (3 ECTS) : Neural network modelling AI for Health Applications
●Course Unit (3 ECTS) : Machine learning and Deep learning for health data analysis
●Course Unit (6 ECTS) : AI for OMICS data integration
●Course Unit (3 ECTS) : Application of AI for Healthcare
●Course Unit (3 ECTS) : IOT and AI for Health
●Course Unit (3 ECTS) : Proteomics for Health Research

Semester 2 (30 ECTS)
●Internship 24 ECTS (Minimum 5 months in an academic or industrial laboratory)
●The Philippe Sabatier BioHealth Computing School – “Accelerating Innovations in Precision Oncology” (6 ECTS) (July 2022)
Contrôle de connaissances
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Condition admission / Public cible
The master of AI4Health is open in initial training and continuing education. The 2nd year is accessible on file (and / or interview) to the candidates having validated the 1st year of master of a compatible course or else by a validation of studies or acquired according to the conditions determined by the university or training

Public continuing education : You are in charge of continuing education :
●if you resume your studies after 2 years of interruption of studies
●or if you followed training under the continuous training regime one of the previous 2 years
●or if you are an employee, job seeker, self-employed.If you do not have the diploma required to integrate the training, you can undertake a validation of personal and professional achievements (VAPP)

Applications are open to well-trained students from all around the world who have completed 4 consecutive years of higher education, equivalent to 240 ECTS credits, in a relevant field, such as: clinical sciences, biotechnology, bioengineering, biomedical engineering, pharmacy, medicine, biology, chemical biology, biophysics, health management, computer sciences, life sciences.

240 ECTS credits, even if the student comes from an educational system without ECTS credits, correspond to 4-years of higher education. If you have any doubt, do not hesitate to contact us.

There is no particular computational skills requirement, but during the introduction course, a self-evaluation will determine if the student will have to attend preparatory or refresher courses during the first month of training.
Période approximative de candidature
mars à juin
Témoignage
Lieu de formation
Grenoble – La Tronche domaine de la Merci (Formation à distance)
Coût de la formation
1,800€ de frais de scolarité incluant :
Deux écoles intensives
Accès complet au program a travers la plateforme digitale
Contact
Responsables et contacts
Pascal MOSSUZ : Pascal.Mossuz@univ-grenoble-alpes.fr
Lien du site de la formation :
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