Study plan Bachelor's Degree in Computational Mathematics and Data Analytics

Knowledge

  • Identify the definition of new mathematical objects, relating them to other known objects and deducing their properties.
  • Identify specific routines and mathematical processes with agility.
  • Identify the presence of mathematics in other disciplines.
  • Identify the basic principles of computer logic, memory and process operation.
  • Identify the influence of computation on the environment, in particular, the climate.

Skills

  • Apply mathematical knowledge.
  • Develop strategies to solve mathematical or computational problems.
  • Apply basic knowledge about the structure, use and programming of computers, operating systems and computer programmes to solve problems in different fields.
  • Relate new mathematical objects to other known objects, deducing their properties.
  • Implement applications based on the functionalities and structure of parallel, distributed and cloud systems and the networks of computers and the internet.
  • Use computer applications to obtain information, statistical analysis, numerical and symbolic calculation, graph visualisation, optimisation and others.
  • Develop software systems that allow large volumes of heterogeneous data to be represented, stored and processed reliably and effectively.
  • Solve problems related to the analysis of large volumes of data through the design of smart systems and computational learning.
  • Conduct studies of physical systems using analytical or numerical methods and interpreting the results.
  • Develop critical thinking to assess the quality of the solutions proposed in the academic field.

Competences

  • Use ideas and concepts from algebra, analysis, geometry and topology in an interdisciplinary way.
  • Design effective solutions to real problems in accordance with the established requirements.
  • Assess effective solutions to real problems in accordance with the established requirements.
  • Plan studies of physical systems using analytical or numerical methods and interpreting the results.
  • Formulate hypotheses, developing strategies to confirm them or refute them.
  • Design software systems that allow large volumes of heterogeneous data to be represented, stored and processed reliably and effectively, in accordance with the established requirements.
  • Assess inequalities on the grounds of sex/gender with computational mathematics tools and data analysis.
  • Operate in project development with ethical responsibility and respecting fundamental rights and duties, diversity, democratic values, all in accordance with the Sustainable Development Goals.
  • Prepare technical reports and explanatory documents specific to mathematics and data analysis.