Academic, scientific or professional interest: To determine the importance of this master’s degree we have to go to the competences that data scientists have to face; they have to be able of: a) Collecting and restoring information optimally. This information can be of any type (numeric, text, images, videos,...). It also can be affected by the 5 V of the known as Big Data (velocity, variety, volume, value and veracity). b) Visualising this information in order to extract behaviour patterns in the data. c) Stablishing repetitive groupings/patterns and behaviour rules in the data. d) Determining prediction models to stablish future behaviours. All these characteristics define a data scientist, therefore by analysing them we observe that it is needed a multidisciplinary training that comprises different knowledge areas. It has to be noted that these professionals work in all the industry areas, from the pharmaceutical industry until the videogames industry, going through consultancy firms, banks, firms based on Internet, etc. Nowadays there is an important demand of data scientists under the umbrella of what is known as “business intelligence”, “customer experience”, “customer experience”, “business analytics” and “big data”. These four terms comprise a great part of the demand for data analysts oriented to business applications. Given this demand in this master’s degree it is considered towards these topics so that the graduated can have a quick labour incorporation. This orientation will be always carried out from the point of view of an eminently practical and of direct application of the advanced data analysis methods to this kind of problems training.