  According to a recent report from the European Commission, the world
generates every minute 1.7 million of billions of data bytes, the equivalent of
360,000 DVDs, and companies that build their decision-making processes by
exploiting these data increase their productivity. The treatment and
valorization of massive data has consequences on the employment of graduate
students in statistics. Which additional skills do students trained in
statistics need to acquire to become data scientists ? How to evolve training
so that future graduates can adapt to rapid changes in this area, without
neglecting traditional jobs and the fundamental and lasting foundation for the
training? After considering the notion of big data and questioning the
emergence of a "new" science: Data Science, we present the current developments
in the training of engineers in Mathematical and Modeling at INSA Toulouse.
