Course presentation

The second-cycle degree course in Mathematics aims both to provide an excellent general knowledge of the mathematical disciplines and to provide a very high and specialised scientific qualification, which can be directed towards fundamental research, popularization, teaching, or the use of mathematical models and modern calculation tools.
Fundamental and applied research-oriented courses offer the opportunity to get to know the research areas in Mathematics active in the Department of Mathematical, Physical and Computer Sciences and to get involved in one of them, while also participating in seminar activities on research problems. Application-oriented courses provide the opportunity to acquire and/or deepen specific knowledge in the areas of methods and models of Mathematical Physics and Advanced Scientific Computing.

As far as general aspects are concerned, the second-cycle degree course in Mathematics aims to train graduates who: possess a solid basic cultural preparation in the area of mathematics and a good mastery of the discipline's methods, a thorough knowledge of the scientific method of investigation, and a high scientific and operative preparation in the disciplines that characterise the class; are able to analyse and solve complex problems, including in applied contexts, use fluently, in written and oral form, at least one language of the European Union in addition to Italian, including disciplinary lexicons; have specific skills for the communication of mathematical problems and methods and relational and decision-making skills, and are able to work independently, potentially assuming scientific and organizational responsibilities.

The extensive course catalogue makes it possible to prepare, in full respect of didactics, differentiated curricula that give students the opportunity to specialise in the areas of mathematics they prefer. In particular, a special programme has been prepared for students interested in teaching.

The course offers interested students the opportunity to spend study periods abroad within the Erasmus+ and Overworld programmes. Periods abroad are also possible for traineeships and internships and/or to prepare a dissertation.

Attendance is not compulsory although it is recommended.

The training uses a 'blended' teaching delivery methodology, integrating face-to-face and remote teaching modes. Specifically, the course will exploit a specially developed technological environment (platform) for the delivery of e-learning content and the management of teaching activities both 'in sync' with the traditional classes and in deferred mode.
These activities (which vary from one course unit to another) take the forms of:

• videoconference lessons recorded and saved for deferred use
• multimedia classes created using the innovative tools that the distance learning platform allows, which may take the form of, for example, video recordings of classes and seminars, advanced distance learning tools (interactive classes, SCORM packages of multiple learning contents, etc.), interactive work activities to be carried out with students, self-assessments and self-study tests, etc.
• interactive communication systems with the professors/instructors (thematic discussion forums and continuous communication channels with the professors/instructors and between the course students themselves, etc.)
• online student reception times.

The curriculum is delivered in person for 100% of the total number of hours (in the absence of a health emergency) and, at the same time, in e-learning mode to the extent of no less than 30% of the total number of hours.

• Quality of the course catalogue: confirmed by the opinions of representatives from local companies and by the ease with which students interested in pursuing research in Mathematics win doctoral scholarships in Italian and foreign institutions;
• customisable curricula with a wide choice of course units, including the possibility of an internship with a local company;
• Facilities made available to students: the Maths Complex provides three rooms for individual study. In addition, classrooms are left available for students to study individually or in small groups when not occupied by classes.
• Quality of the research conducted by mathematicians in the Department of Mathematical Physical and Computer Sciences: confirmed by prestigious international rankings (CWTS Leiden Ranking 2015, 2016, 2018, 2019, 2020).
• Ease of finding employment: employment rates one year after graduation are high. Please refer to the heading EMPLOYMENT OPPORTUNITIES for further information.