The aim of the course is to form graduates with a solid mathematical background of knowledge, methods and demonstration techniques.
There are three curricula:
-"Theoretical-Modeling": it emphasizes the methodological rigor, with the acquisition of specific high-level techniques of Pure Mathematics and Applied Mathematics.
-"Didactic": it provides a solid knowledge in the different areas of Mathematics combined with a specific preparation in the area of teaching methodologies, aimed to the teaching of mathematical disciplines.
-"Mathematics for Artificial Intelligence": it provide theoretical and computational tools in the area of Big Data, complementing theoretical education with courses on understanding, modeling and development of Neural Networks and Machine Learning.