M2 Data Science : Health, Insurance and Finance

• 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.

+ Train students from mathematics and applied mathematics programs in
data science (mathematical and computer science aspects) and
advanced statistics.
+ Understand and know how to use machine learning and deep learning algorithms
with a focus on three
areas of application (health, insurance, finance).
+ Enable students to acquire in-depth knowledge
of complex signals (data) from these
fields