M1 Ingénierie Statistique, Actuariat et Data Science (ISADS)

Master's degree
Specialisation Mathematics and applications
French

Information

Présentation

Calendar

Start of programme (indicative date)
07/09/2026
End of programme (indicative date)
31/08/2027
Admission

Admission Route

Mathematics and computer science applied to human and social sciences
Mathematics

Capacity

Available Places

20

Application Period(s)

Inception Platform

From 15/01/2026 to 16/03/2026

Supporting documents

Compulsory supporting documents

Copy of identity document.

Motivation letter.

All transcripts of the years / semesters validated since the high school diploma at the date of application.

Curriculum Vitae.

Detailed description and hourly volume of courses taken since the beginning of the university program.

Additional supporting documents

Certificate of French (compulsory for non-French speakers).

VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

Supporting documents :
- Residence permit stating the country of residence of the first country
- Or receipt of request stating the country of first asylum
- Or document from the UNHCR granting refugee status
- Or receipt of refugee status request delivered in France
- Or residence permit stating the refugee status delivered in France
- Or document stating subsidiary protection in France or abroad
- Or document stating temporary protection in France or abroad.

Programme
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Stage en entreprise 15 Semestre 2
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Logiciels statistiques et Python 8 Semestre 1 36 36
Outils Mathématiques 4 Semestre 1 18 18
Base de données 5 Semestre 2 23 22
Outils professionnels 5 Annualisé 23 22
Subjects ECTS Semester Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Méthodes stochastiques et statistiques 9 Semestre 1 41 40
Traitement des données et machine learning 8 Semestre 1 36 36
Méthodes de régression 6 Semestre 2 27 27

Teaching Location(s)

VERSAILLES

Training campus

Versailles

Versailles
Bus 8 - 10 - 13 - 105 - 108 - 471
Versailles Rive Droite - Ligne L
RER C Versailles Château Rive gauche
Student restaurant (CROUS)
Library
Student residence

Contact

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