The Master 2, Data Science: Health, Insurance, Finance is a master's degree designed to train students from mathematics and applied mathematics backgrounds in data science (mathematical and computer science aspects) and advanced statistics.
Year organized into 5 blocks that can be compensated for each other, except for the internship
Information
Skills
- Understand, implement and develop statistical methods (mathematical, digital, statistical learning) for data science, deep learning and high dimensionality * Manage large databases * Select machine learning and statistical algorithms adapted to high dimensionality and relevant to application fields * Develop the computer programmes needed to implement them (python, R, spark) * Share the results obtained with appropriate visualisation tools.
Objectives
The Master 2, Data Science: Health, Insurance, Finance is a master's degree designed to train students from mathematics and applied mathematics backgrounds in data science (mathematical and computer science aspects) and advanced statistics.
Calendar
Capacity
Available Places
Target Audience and Entry Requirements
2nd year Master's Data Science: Health, Insurance, Finance is aimed in particular at 1st year Master's mathematics students (or equivalent engineering school curriculum), and includes courses in inferential statistics and linear models, probability and stochastic processes, and programming (R and Python).
Application Period(s)
From 05/01/2026 to 10/07/2026
Supporting documents
Compulsory supporting documents
Detailed description and hourly volume of courses taken since the beginning of the university program.
Additional supporting documents
Letter of recommendation or internship evaluation.
Certificate of French (compulsory for non-French speakers).
Document indicating the list of local M2 choices available here : https://urlz.fr/i3Lo.
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Afficher les coursTeaching Location(s)
Training campus