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Space Education Catalogue

Courses

Executive Master Statistique et Big Data

Course Details

Objectives : Executive Master of Statistics and Big Data
Faced with the emergence of the big data phenomenon, new perspectives are opening up for companies wishing to take advantage of the enormous amount of data they collect on a daily basis. But in order to constitute an aid to decision-making, the exploitation of these raw and multifaceted data is essential. The data scientist professions, which meet this objective, are therefore currently in high demand in the following sectors:
The aim of this university degree is to offer a solid training in applied mathematics which covers all the statistical problems that can be encountered in enterprises.

Public concerned : The training is aimed specifically at working professionals with a bachelor’s degree in mathematics or at a level accepted as equivalent. Thus, the quality of professional experience can be taken into consideration when accepting candidates who do not have a bachelor’s degree.

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

Acquired skills during the training : Beyond the traditional acquisition of the scientific background of the data scientist, this training emphasizes both the rigour required for the processing of data (which is often lacking in data mining) and the presentation of the recently developed statistical methodologies. Their function is to produce tools for mathematical analysis, statistical estimation and prediction that are adapted to modern problems, and which are offered through the construction of innovative algorithms programmed in high-performance computer languages. Their mastery will give the data scientists of this training a visibility and a rare and valuable originality on the labour market.

Duration and terms : 300 hours of training over 17 months.
Classes will be held for 3 hours at the end of the day once a week (Tuesday from 18:00 to 21:00) and one day per month (Thursday from 8:30 to 18:30).

Partnerships with national organisations : CEREMADE, laboratoire de mathématiques appliquées

Dedicated web site : https://www.big-data.dauphine.fr/

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