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MSc - Artificial Intelligence for Public Health

Training programme overview

General aims

The research specialization “Artificial Intelligence for Public Health” (AI4PH) of the Master of Public Health is a second-year Master’s programme that aims to train students in research in artificial intelligence methods for public health. The application of artificial intelligence -AI- to medicine can contribute to the improvement of population health. This intensive master’s course focuses on the challenges, needs, implications, applications 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, critical thinking and the social, societal and ethical dimension. The specific and transversal skills thus acquired in this research specialization should enable students to apply for a university thesis and to take part in methodological and interdisciplinary research using artificial intelligence methods.

Employment opportunities

The opportunities for this research training are very broad and concern the professions of artificial intelligence in the field of health. For example, they can be researchers, teacher-researchers, research engineers, study engineers in public structures (universities, hospitals, INSERM, CNRS, IRD, etc.) or private structures (pharmaceutical industries, private research institutes, etc.).

Student Testimonials

SESSTIM gives a voice to its former students in a video series called “Alumni Voices.” The students interviewed have the opportunity to share their experiences with the various programs offered by SESSTIM.

Read testimonials from former students of the AI4PH program here. 

 

I like how the programme was structured in the way that you both went through the practical applications of a lot of these AI and machine learning techniques, but you also had to write a couple papers on the more theoretical parts or the ethical implications. So it wasn't just sitting down and coding, but you also had to do a lot of reading and think more carefully about these topics.
Lisbeth Waagstein
A4PH specialization alumni