Considering the revolution inherent in the concept of Industry 4.0, it has become necessary to prepare future professionals in this area to be able to deal with multidisciplinary environments and to explore data in order to identify patterns and phenomena through data so that they can contribute to complex industrial processes and the growing integration that is inherent in them in order to keep up with future trends in this sector. In line with this pressing need, over the last five years there has been a generalised adaptation of the various study cycles with their origins in computer science, as well as the creation of new study cycles aimed at developing applications based on data science, artificial intelligence, pattern analysis and recognition and the storage and processing of big data. The TeSP course in Computer Applications for Data Science is supported by interdisciplinary teaching geared towards practical application and professionalisation, with the aim of providing solid skills in the areas of computer science, mathematics and statistics, which allows for the integration of theoretical and practical knowledge, essential for carrying out activities inherent in the design of information systems, processing and analysing data with a view to introducing added value into processes where these systems are fundamental.

- Holders of the 12th grade or legally equivalent qualification; - Holders of professional courses; - Holders of CETs, CTeSPs or higher education degrees; - Over 23s - those who have passed the tests specially designed to assess their ability to attend higher education.

The main objective of the TeSP course in Computer Applications for Data Science is to train professionals capable of planning, developing and managing data collection and study methodologies and designing and implementing computer solutions to problems in the field of data collection, processing, modelling and analysis, either autonomously or under supervision.

- Use statistical methods to prepare and extract knowledge from data; - Collect, analyse, organise and process data and control the quality of information; - Design and implement databases suited to the organisation's needs; - Collect, process, access and present data to implement data science projects; - Planning and operating IT systems and selecting IT applications to support decision-making; - Design, implement and maintain IT projects and tools that help organise information in archives in accordance with requirements, applicable legislation and international standards; - Design and handle data from different areas and plan data acquisition and recording systems to solve problems; - Design new datasets and plan how to use existing data stores and datasets to solve problems; - Draw up documents and report on the results according to the specific needs of organisations or companies.

Graduates will be able to work in companies and institutions that process large amounts of data, particularly in the telecommunications, life and health sciences, insurance, banking, public institutions, state companies and European community institutions sectors.