Degree in Business Intelligence and Analytics

  • E01: Relate, using supervised and unsupervised algorithms, the different elements that interact in the decisions of individuals.
  • E02: Know the tools to plan, manage, implement and evaluate production systems and operations.
  • E03: Communicate the results of analyses effectively.
  • E04: Apply supervised machine learning techniques using software.
  • E05: Know and apply the different methods of investment valuation.
  • E06: Apply probability and non-probability sampling.
  • E07: Use software to collect and analyse survey data.
  • E08: Know the types of spatial and spatial-temporal data.
  • E09: Demonstrate critical thinking about classic models and models of behaviour.
  • E10: Apply unsupervised and semi-supervised machine learning techniques using software.
  • E11: Manage download APIs and capture and manipulate unstructured data values.
  • E12: Extract internal and external information and use it to estimate the parameters that define productive investments.
  • E13: Understand the keys to the operation of the market and the effects of its different structures through studies based on the collection and analysis of data.
  • E14: Apply market research techniques to digital environments.
  • E15: Make marketing mix decisions in the digital environment.
  • E16: Identify customer value in the digital environment.
  • E17: Evaluate the internal control system within the framework of accounting information systems.
  • E18: Know the basic legal and ethical framework for conducting activities involving the processing of information, personal data and macrodata, as well as for e-commerce and e-contracting.
  • E19: Know the different financing tools and be able to assess the interaction between the investment and financing decisions of the company.
  • E20: Know different production problems and their relationship with other company processes.
  • E21: Tackle problems of management and coordination of the different components of the logistics system by selecting and applying relevant analytical methodologies, strategies and technologies to decision-making.
  • E22: Use data mining software.
  • E23: Manage and distinguish the concepts of universe, population, sample, parameters and estimators in real problems.
  • E24: Identify the basic probability distributions encountered in real problems.
  • E25: Use software tools to solve problems under uncertainty.
  • E26: Distinguish between the explanatory and predictive approaches in data analysis and in business.
  • E27: Make predictions using appropriate software tools to manage time series.
  • E28: Use analytical and quantitative methods to analyse and interpret the financial statements of organisations.
  • E29: Design and implement cost allocation models based on the digital records of accounting information systems.
  • E30: Establish a system of business management indicators.
  • E31: Apply methods and techniques of analysis, synthesis and graphical representation by means of software tools.
  • E32: Express situations of uncertainty and randomness using mathematical, synthetic and graphic languages.
  • E33: Reach strategic diagnoses in complex and uncertain environments using appropriate methodologies.
  • E34: Set goals and design strategies in digital companies taking account of the implications and needs deriving from them.
  • E35: Understand and evaluate the characteristics and usefulness of the different corporate and competitive strategies of digital companies.
  • E36: Understand the systemic nature of the digital company.
  • E37: Know the principles of economic analysis and its application to the diagnosis and resolution of problems based on data analysis.
  • E38: Identify customer marketing information in the digital environment.
  • E39: Analyse the customer's digital information and brands.
  • E40: Make strategic marketing decisions in digital environments.
  • E41: Identify customer behaviour in the digital environment.
  • E42: Know the different types of data.
  • E43: Reorganise and restructure variables and databases.
  • E44: Plan and design a sample research.
  • E45: Know the principles of behavioural theory.
  • E46: Implement the accounting cycle in digital accounting records and prepare financial information from those records.
  • E47: Evaluate the economic and financial consequences of recording operations in information systems.
  • E48: Make decisions under certainty and uncertainty.
  • E49: Know the basic concepts of logic, algorithmics, computational complexity and their application to business intelligence.
  • E50: Classify the different types of information according to their legal nature and evaluate the legal risks and responsibilities of the data protection delegate and other actors in charge of database management.