CB1: That students have demonstrated to possess and understand knowledge in an area of ¿¿study that starts from the base of general secondary education, and is usually found at a level that, although supported by advanced textbooks, also includes some aspects that they imply knowledge coming from the vanguard of their field of study. CB2: That students know how to apply their knowledge to their work or vocation in a professional manner and have the skills that are usually demonstrated through the elaboration and defense of arguments and the resolution of problems within their area of ¿¿study CB3: That students have the ability to gather and interpret relevant data (normally within their area of ¿¿study) to make judgments that include a reflection on relevant issues of social, scientific or ethical nature CE17: Ability to know the security requirements (with emphasis on privacy) of big data environments and the consequent protection measures: techniques; organizational and legal, as well as knowing and managing encryption techniques and their use to ensure data security. CG2: Knowledge of basic scientific and technical subjects that enable you to learn new methods and technologies, as well as giving you great versatility to adapt to new situations. CG3: Ability to solve problems with initiative, decision-making, creativity, and to communicate and transmit knowledge, skills and abilities, understanding the ethical, social and professional responsibility of the data processing activity. Leadership capacity, innovation and entrepreneurial spirit. CT1: Ability to communicate knowledge orally and in writing, to both a specialized and non-specialized audience. CT3: Acquire basic humanistic knowledge that allows completing the student's transversal training profile. RA2 Be able, through arguments or procedures developed and supported by themselves, to apply their knowledge, their understanding and their problem-solving abilities in complex or professional and specialized work environments that require the use of creative and innovative ideas. RA3 Have the ability to collect and interpret data and information on which to base their conclusions, including, when precise and pertinent, reflection on issues of a social, scientific or ethical nature within the scope of their field of study

1. Information society and telecommunications 2. Personal data protection 3. Information society services 4. Artificial Intelligence Act 5. Intellectual and industrial property 6. Online criminal and punitive law 7. Professional deontology and codes of conduct

The continuous evaluation system is based on a practice-oriented teaching that aims to reinforce the learning of theory through direct experience in cases that should facilitate the understanding and management of its content. Academic activities are divided into Master Lessons (large group) and Practice Sessions (small groups). 1. Master classes (Large Groups), in which the general lines of the subject matter of the corresponding topic will be exposed. These sessions will be taught remotely through the platform indicated by the teacher. 2. Practical Sessions (Small Groups), in which specific activities are developed through which a practical vision of the content of the topics will be offered. The activities to be carried out will consist of solving practical exercises, as well as, where appropriate, other control activities such as reading the bibliography or relevant sentences and surprise tests or questions to check the level of knowledge on the topics. These activities will be duly announced in Aula Global. The tutorials will be held at the time and under the conditions determined by the teacher in Aula Global. .