Content Official Master's Degree in Modelling for Science and Engineering
UAB's Virtual Fair for Master's Degrees, Graduate Courses and PhD Programmes
Informative sessions with each programme's direction, from the 20th to the 24th of February. Registration is open!
- 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.
- 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.
- 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.