University of Catania
Follow us

Data Science

Academic Year: 
Degree Level: 
Master's Degree
2 anni
Teaching Facility: 
Department of Economics and Business
Access Requirements: 
Italian Classification: 
Teaching Languages: 

Course Overview

The Data Science Master’s Degree programme is specially designed for students with an interdisciplinary approach to computer science, statistics and mathematics, economics and social sciences.

It is run across different departments and throughout the first year includes common thematic areas and training labs to introduce students to the main statistical methods and information technologies, with an insight into the applicative aspects of legal and economic/business sciences. Among their first-year challenges students will learn how to use programming languages ​​such as Python, R and SQL, most requested by the job market.

The following year, students will devote most of their time to developing domain knowledge within the curriculum of their choosing. Many examination tests include practical activities based on real IT data analysis that students have become familiar with through software. Reports and story-telling are a typical set of tasks of a data scientist.

The course of study is delivered in English and includes an overseas learning experience and curricular internships to carry out within companies and businesses.

Educational Goals

The Data Science Master's Degree is designed for students who are capable of developing an enormous wealth of data produced by technology, creating new business opportunities as well as innovative services across different areas of expertise (business, industrial, tertiary sector, scientific, technological, public and private administrations).

With a Master’s in Data Science postgraduates will be able to:

  • be data analysts and data scientists within companies, or in public and private administrations;
  • play roles of responsibility within consultancy;
  • work in teams of scientific and technological experts using data analysis and materials for the validation of theoretical models;
  • design experimental protocols and extract information from data;
  • deal with issues of economic and financial nature using quantitative analysis;
  • use machine learning, pattern recognition methods and other IT techniques for the automatic processing of texts, images and predictive analysis of both economic and financial arenas;
  • work in the internet world such as the Internet of Things and the Industrial Internet of Things;
  • work in an industrial environment for the monitoring, control and certification of production quality;
  • identify the most suitable solutions for data analysis.

Job Opportunities

New Career Opportunities are bound to grow and play a central and strategic role in many subject areas within companies, businesses, public bodies and private organizations towards managing and evaluating the performance of public policies.

Typical job titles

  • Statistical Expert
  • Software Analysts and Designer
  • System Analyst
  • Public Administration Management Specialist
  • Management and Control Specialist
  • Market Analyst
  • Socio-Economic Systems Specialist
  • Business Specialist