Transdisciplinary and interdisciplinary teaching on the challenges, needs, implications and methods of artificial intelligence in the field of public health.
Please note: training created in 2022-2023.
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Type of trainingDiploma course
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DiplômeCESU
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DisciplinePublic healthMedical information processing
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Duration1 year
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Teachers in chargePr Roch GIORGI ; Raquel URENA-PEREZ
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Présentation de la formation
Pedagogical objectives
Pedagogical objectivesThe application of artificial intelligence (AI) to medicine can contribute to the improvement of population health.
course focuses on the challenges, needs, implications and methods of artificial intelligence for public health. Designed with a transdisciplinary and interdisciplinary approach, it will allow the students to acquire knowledge in the field of artificial intelligence applied to public health, by combining algorithmic and modelling knowledge with contextualised understanding and critical thinking.
The post graduate diploma is composed
of
4 teaching modules:
- Principles and methods of public health sciences (PHS-PRIM)
- Programming fundamentals for health data (INF-PROF)
- Artificial intelligence programming (INF-GRAM)
- Artificial intelligence challenges for public health (CHA-AIPH)
The main subjects taught are:
- The basic principles and methods of public health, statistics, computer science, epidemiology, human, economic and social sciences;
- The fundamentals of programming and the main artificial intelligence tools for public health;
- Advanced algorithms and methods of artificial intelligence and how to program them using Python and R;
- The organization and management of an artificial intelligence-based project applied to health data
.
Prerequisites
Prerequisites- Applicants must demonstrate proficiency in EnglishStudents
- whose first language is not English must provide an English certificate with at least the B2 level or equivalent
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Autorisation pédagogique
Eligibility
EligibilityThis course is aimed at students in the second cycle of medical, pharmaceutical and odontology disciplines as well as doctors, pharmacists and dental surgeons.
Students who have obtained a scientific M1, an engineering school diploma or a diploma considered equivalent by the teaching staff, with excellent marks, in one of the following disciplines: statistics, computer science, public health, epidemiology, mathematics, economic and social sciences are welcome as well
.
Educational information and admission authorizations
Educational information and admission authorizationsTeacher in charge
Pr RochGIORGIContact
Mme NOIR GenevièveSESSTIM
UMR 1252
Tél : 04 91 32 46 00
Email : sesstim-enseignement@univ-amu.fr -
Inscription administrative
RegistrationRegistration applicationDownload
- and complete the application form.
- Send this form with a CV, an official and up-to-date academic transcripts, and a cover letter
Email :
sesstim-enseignement@univ-amu.frIf the application is accepted: follow the registration procedure indicated by the UMFCS.
Administrative registration information :
Email : umfcs-desu@univ-amu.fr
Fatma FATHI
Tél : 04 91 32 45 91
Marine HANAOUI
Tél : 04 91 32 46 48
Annie DESCHAMPS
Tél : 04 91 32 43 25
Audrey GROSSI
Tél : 04 91 32 45 80Unitémixte de formation continue en santé (UMFCS)
Bureau des DU
Faculté des sciences médicales et paramédicalesAix-Marseille
Université
27 bd Jean Moulin
13385 Marseille cedex 05 -
Informations pratiques
Rates
Rates- Initial training:
- €334Continuing
- training
- : €969