магистр 2, Наука о данных: Здравоохранение, Страхование, Финансы

Data science is currently experiencing a significant boom that disrupts its interface, particularly with statistics, and requires an interdisciplinary approach. This change is based on:

the growing importance of mathematical modeling (analysis, prediction, and integration of heterogeneous data)

access to massive data from new technologies (internet, business analytics, biotechnologies, DNA chips) requiring sophisticated statistical and computer processing. The use of statistics, machine learning, and IT for data science marks the start of a significant transformation that affects all sectors: from e-commerce to scientific research, including health, insurance, and finance!

Educational objective:

Solid generalist training in statistics and machine learning is intended for applied mathematicians and engineers wishing to complete their training and become specialists in data science.

Opening lessons in genetic epidemiology and insurance

Goal: to allow students to acquire an in-depth knowledge of complex signals (data) from these fields

Opportunities:

in business: biopharmaceutical, health or agri-food industry, banks, and insurance)

academic (higher education, CNRS, INRA, INRIA, INSERM, CEA, IRSTEA)

Offers the best conditions for:

to integrate professionally at the end of M2

to prepare for a doctorate in the mathematics/life sciences and mathematics/insurance and finance interfaces

Targeted positions:

data scientist / engineer-statistician / biostatistician/finance analyst for whom the demand is very high (large groups, start-ups, biotechs, CRO, IT services company).

Access to professions of applied mathematicians unrelated to life sciences or finance and insurance, connected with big data (internet, business analytics=), production optimization (resource management, pricing), e-marketing, modeling for product design.

The National School of Computer Science for Industry and Enterprise (ENSIIE) is one of the oldest schools to award a computer engineering degree.

ENSIIE has continued to evolve and offer students many courses, masters in dual courses, degree stays abroad or not in many countries with a strong awareness of innovation and entrepreneurship.

The training organized around the IT - Mathematics - Business Sciences triptych retains all its originality and responds to high-level and varied jobs in all business and industry sectors.

With IMT, ENSIIE integrates the largest engineering school group with national and international influence to increase its potential and attractiveness. With Paris-Saclay, students benefit, for example, from the masters that ENSIIE cooperates with the universities of Paris XI, Versailles St-Quentin and Evry and the grandes écoles of Polytechnique, ENSTA, Télécom Paristech, ENS Paris Saclay or CentraleSupelec.

ENSIIE offers cutting-edge and varied courses such as business intelligence, software engineering and security, virtual and augmented reality, video games, applied mathematics, finance, high-performance computing, big data, without forgetting artificial intelligence.

ENSIIE also offers you a course "innovation and business creation" common to TSP and IMT-BS, which allows you in the 3rd year to devote yourself entirely to the development of your project.