University master's degrees
University Master's Degree in Modelling for Science and Engineering

Provide you with the mathematical and computational skills needed to analyse processes by constructing problem-solving models in meteorology, data analysis, biomedicine, neuroscience, etc.

Official Master's Degree in Modelling for Science and Engineering

Knowledge

  • Identify the most common programming languages and environments in the field of modelling, as well as their applications. 
  • Identify the main techniques and algorithms of mathematical optimization. 
  • Describe the main machine learning techniques, as well as the features and limitations they offer in each particular context. 
  • Identify the most common computing architectures and programming management resources used to optimize the operation of mathematical models. 
  • Describe the main mathematical tools used in the construction of models, as well as the main results and/or predictions that can be obtained from them. 

Skills

 

  • Apply specific software for the resolution and interpretation of modelling, optimisation and/or data processing problems. 
  • Develop computer applications aimed at modelling a specific system/process, using an appropriate programming environment and evaluating its performance. 
  • Apply basic mathematical techniques of analysis and optimization in the construction of mathematical models that provide answers to particular questions and/or problems. 
  • Apply previously given models or modelling environments in the resolution of specific practical problems. 
  • Interpret the nature of the parameters and the basic structure of a mathematical model aimed at describing a specific problem or situation. 
  • Properly interpret the results and predictions obtained by applying a mathematical model to the resolution of specific problems. 

Competences

  • Apply the different modelling tools (computational, analytical, etc.) to the resolution of unprecedented or original problems in the business or research field. 
  • Properly integrate modelling tools and/or results from different fields or natures, especially in the context of multidisciplinary work environments. 
  • To effectively communicate the procedures and results derived from modelling work and projects to an expert audience. 
  • Evaluate in an existing study or modelling project its possible implications and/or effects at the ethical, sustainability, gender equality and/or social justice level. 
  • Incorporate ethical, sustainability, gender equality and/or social justice criteria in the development of new studies or modelling projects. 
  • Work in multidisciplinary teams in the development of activities and projects in the field of Modelling.