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 latest state of the art of their field of study.
CB2: That students know how to apply their knowledge to their work or vocation in a professional manner and possess the skills that are usually demonstrated through the elaboration and defense of arguments and the resolution of problems within their area of study
CE18: Ability to acquire basic and fundamental knowledge of network architectures.
CG2: Knowledge of basic scientific and technical subjects that enable the learning of new methods and technologies, as well as providing a great versatility to adapt to new situations.
CG4: Ability to solve technological, computer, mathematical and statistical problems that may arise in engineering and data science.
CT1: Ability to communicate knowledge orally and in writing, before a specialized and non-specialized public.
RA1: Have acquired advanced knowledge and demonstrated an understanding of the theoretical and practical aspects and the methodology of work in the field of science and data engineering with a depth that reaches the forefront of knowledge
RA2: The capability of, through arguments or procedures developed and supported by them, apply their knowledge, understanding of these 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 necessary and pertinent, reflection on matters of a social, scientific or ethical nature within the scope of their field of study.