Back to top
Palermo
Department Economics and Statistical Sciences
Home  >  Economics and Statistical Sciences  >  Statistics and Data Science

Statistics and Data Science

Master Degree
LM-82
In presence
Free
No
  • Groningen (NL)
  • Lubiana (SI)
  • Monaco di Baviera (DE)
  • Rennes (FR)
  • Stoccarda (DE)
  • Valencia (ES)
  • Valladolid (ES)
  • Università del Minho (PT)

Fregio 9
What is the objective of the course? What is it?
What does it train you for?

The Master Degree Course in Statistics and Data Science (Statistica e Data Science – STAT - 2 year Course) aims at providing postgraduate students with a full higher education in the field of mathematics, probability, statistics, and computer science, enabling them to work autonomously and responsibly in different areas, and to enter the labour market as qualified experts, capable of developing, managing, and analysing various information flows. The teaching activity has the aim of training two different professional profiles: the first focuses on statistical methods for biostatistics, and the second on quantitative methods for risk management.

Fregio 9
What do you learn?

The Master Degree Course is characterized by:

  • a package of common, advanced-level courses in mathematics, probability, statistics and computer science;
  • many opportunities for students to personalize their own Study Program (approximately 40 credits);
  • a special focus on teaching methodologies, which provide a balanced mix of a full theoretical training with applied laboratories, in which Statistics is used as a crucial tool in real case studies;
  • a special focus on language skills, in so far as some courses are taught entirely in English;
The laboratory activities are also intended to contribute to the development of communication skills.

Fregio 9
What can you do with it?

Students graduating in the Master Degree Course in Statistics and Data Science have sound professional skills in statistical data management, data analysis and data modelling; they also develop the ability to solve complex problems using appropriate computational methods. In the field of finance, graduates will be able to perform analysis (of business and financial data), forecasting, planning and decision-making tasks in public, private and research positions. In the field of biostatistics, graduates will be able to work in research centres, pharmaceutical companies and hospitals, thanks also to the integration of their training with some basic background in biology and genetics.