Big Data defines the use of technologies and methods to analyze very large volumes of data. This data comes from various sources such as DBMS, SMS, social networks, photos, videos, … This discipline of statistics and computing is in full development to Cloud Compunting and processing technologies such as database news suitable for unstructured data (Hadoup) and the development of high performance computing models (MapReduce).
One of the main applications in marketing is to refine the targeting of the consumer and analyze the facets of his behavior. In auto insurance, for example, Big Data makes it possible to refine and almost personalize pricing from data on the behavior or driving habits of its policyholders. Ditto for health insurance with the possibility of exploiting the information on the medical history of the insured. In the banking or mobile telephony sector, traditional score building techniques (logistic regression, duration model, discriminant analysis, etc.) are progressively evolving towards supervised or semi-supervised automatic learning methods such as random forests. New software will be taught in this master namely mangos, cognos, python, …
The students coming out of this master will be the future data scientists or data miner with new modeling techniques.