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 directors and coordinators. From the 26th to the 30th of May: Registration is open!
You can also send the form on this page to request personalized attention.
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.