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.

Content Official Master's Degree in Modelling for Science and Engineering

Basic skills

  • Use acquired knowledge as a basis for originality in the application of ideas, often in a research context.
  • Solve problems in new or little-known situations within broader (or multidisciplinary) contexts related to the field of study.
  • Integrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.
  • Continue the learning process, to a large extent autonomously.
  • Communicate and justify conclusions clearly and unambiguously to both specialised and non-specialised audiences.

Specific skills

  • Analyse complex systems in different fields and determine the basic structures and parameters of their workings.
  • Formulate, analyse and validate mathematical models of practical problems in different fields.
  • Apply techniques for solving mathematical models and their real implementation problems.
  • Conceive and design efficient solutions, applying computational techniques in order to solve mathematical models of complex systems.
  • Analyse and evaluate parallel and distributed computer architectures, and develop and optimise advanced software for these.
  • Safeguard, manage, audit and certify the quality of advanced developments, processes, systems and software.
  • Take part in research projects and working groups in the field of information engineering and high-performance computation.
  • Use appropriate numerical methods to solve specific problems.

Cross-curricular skills

  • Recognise the human, economic, legal and ethical dimension in professional practice.
  • Show responsibility in information and knowledge management and in group/ project leadership in multidisciplinary teams.
  • Analyse, synthesise, organise and plan projects in the field of study.
  • Look for new areas to open up within the field. Solve complex problems by applying the knowledge acquired to areas that are different to the original ones.
  • Apply logical/mathematical thinking: the analytic process that involves moving from general principles to particular cases, and the synthetic process that derives a general rule from different examples.
  • Isolate the main difficulty in a complex problem from other, less important issues.
  • Apply specific methodologies, techniques and resources to conduct research and produce innovative results in the area of specialisation.
  • Present study results in English.