Degree in Data Science

  • E01: (CE13) To know how to design, apply and evaluate data science algorithms for the resolution of complex problems.
  • E02: (CE14) To understand and apply the ethical, legal and normative aspects related to data treatment and the application of the obtained knowledge.
  • E03: (CE11) Ability to design and implement data acquisition, its integration, transformation, selection, verification of its quality and veracity from different sources, taking into account its character, heterogeneity and variability.
  • E04: (CE12) Ability to design and start solutions based on data analysis in the field of medicine and business, taking into account the specific requirements of this type of use cases.
  • E05: (CE04) To know and use the different models of data storage and database management systems using programming languages for the definition, query and handling of data.
  • E06: (CE07) Ability to model dependency between a response variable and several explanatory variables, in complex data sets, using machine learning techniques, interpreting the results obtained.
  • E07: (CE08) Ability to understand, select and use the infrastructure and the techniques used to handle mass data, according to criteria of efficiency, scalability, security, error tolerance and adaptation to the production environment.
  • E08: (CE09) To methodologically know and apply the concepts and techniques of probability and statistics necessary for the extraction of useful knowledge from data analysis.
  • E09: (CE10) Ability to digitally process signals and extract information from them.
  • E10: (CE01) Ability to solve the mathematical problems that can be posed in data science and be able to apply knowledge on: linear algebra, differential and integral calculus and numerical methods and optimisation.
  • E11: (CE03) Ability to solve classification, modelling, segmentation and prediction problems from a set of data.
  • E12: (CE02) To methodologically know and apply the programming techniques and the algorithms necessary for the efficient processing of information and the computer resolution of problems that use large volumes of data.
  • E13: (CE05) To understand the most relevant fields of application of data science and understand how data science is used to base and perform decision-making based on data
  • E14: (CE06) Ability to represent and visualise data sets for the extraction of knowledge.
  • E15: (CE15) Ability to model and analyse the uncertainty in data-based studies, as well as to know how to interpret and contextualise the results obtained.
  • E16: (CE16) Ability to develop an original exercise, to do it individually, as well as to present it and defend it before a university board, on the field of data science, in which the acquired competences are synthesised and integrated in the lessons.