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Data Science, Calcolo Scientifico & Intelligenza Artificiale

Application fee €20 one-time

Application fee is non-refundable

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.

Apply now! Academic year 2024/25
Application period has ended
Studies commence
16 Sept 2024
Apply now! Academic year 2024/25
Application period has ended
Studies commence
16 Sept 2024
Apply now! Academic year 2024/25
This intake is not applicable
Studies commence
16 Sept 2024
Apply now! Academic year 2024/25
Application period has ended
Studies commence
16 Sept 2024
Apply now! Academic year 2024/25
Application period has ended
Studies commence
16 Sept 2024
Apply now! Academic year 2024/25
This intake is not applicable
Studies commence
16 Sept 2024