Université de Tours campus

Engineering

Master Informatique – Parcours Artificial Intelligence & Social Robotics applied to Global Health at Université de Tours

Université de Tours, France

Programme overview

Two-year Master co-funded by the European Union within the NEOLAiA European Universities alliance, for students who want to apply artificial intelligence, machine learning and computational sciences to global health challenges. It combines advanced AI and social-robotics theory with hands-on work on real global-health applications.

Duration: 2 years (Master 1 and Master 2)  |  Study mode: full-time; taught in English  |  Location: Tours, Centre-Val de Loire, France

Career pathways

AI-driven healthcare analyst, medical data scientist, public-health technologist and epidemiological modeller, with impact in disease prediction, environmental monitoring, digital health and health-policy optimisation; sectors include non-governmental organisations, research institutes and health-technology companies.

Official programme page

Application information

Entry requirements

Licence or Bac+3 in computer science or mathematics: a first-cycle degree of at least 180 ECTS with computing or engineering as main field, including 30 ECTS in mathematics and 15 ECTS in programming with data structures and algorithms; English level B2 or above. M1 through Mon Master; M2 through eCandidat.

Domestic applicants: EUR 255 a year (2026/2027). National registration fee for Master (EU/EEA and exempt students). Excludes the CVEC student contribution (105 EUR). Source

International applicants: EUR 3,950 a year (2026/2027). Differentiated fee for non-EU primo-entrants; exemptions apply (e.g. apprenticeship, bursary holders, partial exemption on request). Source

Duration: 2 years (Master 1 and Master 2)

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