STRUCTURE OF THE COURSE OF STUDY
The Degree Course is divided into 2 years for a total of 120 credits (ECTS) and normally the student's activity corresponds to the achievement of 60 CFU per year. The following types of training activities are foreseen:
- 27 CFU caratterizzanti of mathematical-statistical training;
- 27 CFU caratterizzanti of computer science training;
- 6 CFU caratterizzanti of legal-linguistic training;
- 18 CFU affini of training in various scientific disciplines;
- 18 CFU self-chosen by the student;
- 24 CFU for the final exam and further training activities.
In order to enhance the heterogeneity of incoming students, the study program offers diversified activities of typology caratterizzante and a wide range of activities of typology affine on emerging Data Science topics. This makes it possible to offer students, also according to their own interests, a wide choice and deepening of knowledge and skills on emerging scientific topics. In particular, some courses in computer science, mathematics and statistics of typology caratterizzante, foreseen in the first year, must be chosen by the student on the basis of their knowledge and skills. Also in the first year, some courses are compulsory for all students. The same consideration applies to a set of courses of typology affine chosen by the student, which can always be selected according to the knowledge and skills required.
The training activities of typology affine combine mathematics, statistics and information technology skills with disciplinary fields such as those of biology, chemistry, physics and geology (for example, biology and computational chemistry; the predictive methods of structural biology, statistical phisics, physics of complex systems and modern geology; methods for the analysis of biological, geological with spatial characterization and for environmental chemistry data, and of images in the various fields of physics). Furthermore, the activities of typology affine broaden the mathematical, statistical and computer science skills in specific methodological and applicative fields of support to Data Science.
Furthermore, in various courses there will be projects and laboratory activities that will allow students to deal directly with the most advanced Data Science tools and with the resolution of concrete problems. As regards the educational activities chosen individually by the student, courses of typology caratterizzante and affine not previously chosen or other courses activated in the University may be selected. The choice of these activities is free as long as it is consistent with the training project.
The courses will be held in Italian, except for some optional courses which will be in English. The activities planned over the 2 years, with the related teaching load, are described on the web page of the Master (available at: https://www.datascience-cs-ia.unifi.it/ )
Ultimo aggiornamento
17.10.2023