Possess and understand knowledge that provides a basis or opportunity to be original in the development and/or application of ideas, often in a research context, knowing how to translate industrial needs in terms of R&D projects in the field of Industrial Mathematics;
Know how to apply acquired knowledge and problem solving skills in new or unfamiliar environments within broader contexts, including the ability to integrate into multidisciplinary R&D teams in the business environment;
Know how to communicate the conclusions, together with the latest knowledge and reasons that support them, to specialized and non-specialized audiences in a clear and unambiguous way;
Have the learning skills that allow the student to continue studying in a way that will be largely self-directed or autonomous, and able to undertake successful doctoral studies.
Achieve a basic knowledge in an area of ¿¿Engineering / Applied Sciences, as a starting point for an adequate mathematical modeling, both in well established contexts and in new or little known environments within broader and multidisciplinary contexts.
To model specific ingredients and make the appropriate simplifications in the model that facilitate their numerical treatment, maintaining the degree of precision, according to previously established requirements.
To be able to validate and interpret the obtained results, comparing with visualizations, experimental measures and / or functional requirements of the corresponding physical / engineering system.
Know how to model complex elements and systems or in poorly established fields, leading to well thought out / formulated problems.
Understand some of the most complex problems of an application field in the field of Engineering and Applied Sciences Know how to model complex elements in this field of application, including the degree of approximation made.
Understand the difficulties that both the numerical simulation and the analysis of these models poses.