The master program aims at providing high-level skills necessary for the formalization and the consequent mathematical analysis of problems arising from applied sciences and technologies. The program provides courses which complete the basic mathematical competences, covering all the main areas of Mathematics. Then, the student has a choice of courses focused in areas where the support of advanced mathematical methods is fundamental for recent scientific researches and developing technologies. This is a 2-year master degree entirely taught in English, offered to both national and international students. With the aim of offering the students a greater opportunity to develop their interests in one of the numerous areas of theoretical mathematics, or to extend their skills in the extensive panorama of mathematical applications required by industries or scientific research, Applied Mathematics study plan is organized in two Curricula: Mathematical Models and Mathematical Methodologies.

CURRICULUM: Mathematical Methodologies 

The program provides courses which complete the basic mathematical competences, covering all the main areas of Mathematics (Mathematical Logic, Algebra, Geometry, Mathematical Analysis, Mathematical Physics, Statistics, Numerical Analysis, Optimizations). Then, the student has a choice of courses focused on:

● in-depth studies of specific areas of pure mathematics, aimed at introducing new recent developments and research problems in mathematics, especially in Logic, Algebra, Geometry, Mathematical Analysis;

● areas where the support of advanced mathematical methods is fundamental in recent scientific researches and developing technologies.

Students interested in Education can complete the program with courses focused in the teaching and in the educational aspects of Mathematics.

CURRICULUM: Mathematical Models 

The program provides some courses which complete the basic mathematical competences, covering some areas of Mathematics which are necessary to deepen application issues (Mathematical Analysis, Geometry, Statistics, Numerical Analysis, Optimizations). Then, the student has a choice of courses focused in applicative areas, such as the applications of data analysis, artificial intelligence and machine learning, bioinformatics and information systems to understand the techniques for modeling, analyzing and simulating processes arising from other scientific disciplines such as engineering, physics, biology, or medicine. The student is trained to interact with teachers and researchers working in scientific and technological areas where advanced mathematical tools are required. The skills acquired include the ability to retrieve methodological information from advanced mathematical literature.