The objective of this degree is to train data engineers who will lead the digital transformation of our society. This transformation is revolutionizing the internal structure and services of all organizations and entities.

Thanks to the extraction of information from large volumes of data, it is possible to optimize the internal management of companies and institutions (personnel, stocks, logistics, distribution, etc.), as well as, to offer new intelligent services capable of predicting our preferences, behaviors, or even possible future illnesses.

Data have become the engine of our society and are generating a strong demand for engineers to manage it.

Data engineers are transforming public administrations and business entities in all sectors (banking, commerce, health, genomics, transport, energy, tourism, etc.), opening an unprecedented range of employability. This range of possibilities is further expanded in the scenario defined by the UN 2030 Agenda and the Sustainable Development Goals, for which data engineers will be essential.

The syllabus is structured in six major areas of knowledge:

1. Fundamentals of applied mathematics and probability calculation.
2. Mathematical modeling techniques, optimization, and statistical inference to characterize data distributions, including all types of signals.
3. Technologies required in the data life cycle: data acquisition through sensor networks, communication using smart networks, storage of structured and unstructured data, distributed management, data protection and security, advanced visualization, information extraction, taking decision making and service development.
4. Design, implementation, and maintenance of the necessary infrastructures: from the access or acquisition of data to their analysis in large data-processing centers (cloud support) protecting its access in all phases.
5. Machine learning and deep learning algorithms for the development of systems and services with Artificial Intelligence.
6. Knowledge of leadership and people management, professional skills, business management, strategic management, and entrepreneurship (design of new business models in the Digital Economy).