Study location	Italy, Florence
Type	Graduate, full-time
Nominal duration	2 years (120 ECTS)
Study language	Italian

Application fee	€20 one-time Application fee is non-refundable

Entry qualification	Undergraduate diploma (or higher) The entry qualification documents are accepted in the following languages: English / French / Italian / Spanish. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

Language requirements

Italian Non-EU applicants living abroad are required to have a valid certificat of Italian language proficiency at level B2 awarded as determined by the CLIQ (Italian Quality Language Certification) quality system, which unites in one association the current certification bodies (University for Foreigners of Perugia, University for Foreigners of Siena, Rome Tre University and the Dante Alighieri Society) and University for Foreigners “Dante Alighieri” of Reggio Calabria, as well as in convention with Italian Institutes of Culture abroad or other institutions. These certifications may be gained in the country of origin, in the approved exam centres found all over the world. Applicants which do not hold any certificate of Italian language can participate in the test that is annually organized by the University. More information are available here Applicants participating in the “Marco Polo project* are required a certificate of Italian language proficiency at level B1. EU applicants are not required to have a certificate of Italian proficiency and do not have to pass any Italian language test. However, they a good proficiency in Italian is highly recommended.

Other requirements	At least 1 reference(s) should be provided.

More information	datascience-cs-ia.unifi.it

Overview

The Master’s Degree Course in Data Science, Calcolo Scientifico & Intelligenza Artificiale (taught in Italian) intends to provide a degree course in a certainly emerging sector such as that of data science and scientific computing. In fact, the profession of Data Scientist is naturally emerging as one of the most sought professions on the market and the demand significantly exceeds the actual availability of these figures. The course of study therefore has the objective of training professional figures capable of answering research questions arising from the pervasive presence of complex data, both structured and unstructured, and of high dimensionality (so-called big data) in the most varied fields of application; in particular, in scientific fields of an interdisciplinary nature involving biology, chemistry, physics, and geology.

This objective is achieved through the acquisition of solid theoretical and practical skills in various fields of computer science, mathematics and statistics and their application through various paths declined in the various scientific fields, including those of in-depth study of computer science and mathematics for data science, scientific computing and artificial intelligence.

Programme structure

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 credits caratterizzanti of mathematical-statistical training;
• 27 credits caratterizzanti of computer science training;
• 6 credits caratterizzanti of legal-linguistic training;
• 18 credits affini of training;
• 18 credits self-chosen by the student;
• 24 credits 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.