aller au menu   |   aller au contenu

www.cnes.fr www.issat.com
Space Education Catalogue

Courses

Master 2 Data Science

Course Details

Objectives : Today, major players in the world of business are increasingly aware of the potential of their data and are looking for ways to extract as much useful information as possible. Data scientists are in charge of retrieving, storing, organizing, processing this mass of information to create value. This is a hybrid profile requiring a solid background in mathematics and statistics, mastery of data management and processing tools and infrastructure, as well as curiosity and a thirst to understand.

The objective of the Master in Datascience is to train experts in this field. At the end of the training, the students have acquired skills in mathematics of statistical learning, in deep learning, reinforcement learning, optimization, and big data infrastructures among others. In particular, these skills are developed through practical projects and data science competitions. At the end of the year, both the results at the chosen courses and the professional project are evaluated to validate the Master.

Degree Level (EU) : 7 - (EQC level or equivalent)

Targeted careers : Data Science has a strong impact on many sectors. There is currently a large worldwide shortage of data scientists and data analysts. Students from Data Science and Big Data courses are therefore eagerly awaited on the global job market. Like all fields of breakthrough innovation (e.g. biotechnology and e-medicine), there is a high need for high-level engineers and doctoral candidates.

On average, almost 25% of the students pursue with a PhD, while the others pursue in the industry.

Duration and terms : 12 months, full time

Dedicated web site : https://www.ip-paris.fr/en/education/masters/applied-mathematics-and-statistics-program/master-year-2-data-science

Disciplines

Topics