Overview

The objective of this study program is to prepare statisticians with strong skills in database management systems and analysis of large scale data derived from different working contexts, i.e. economic, industrial, IT, medical, etc. For this reason, the degree course presents a clear statistical-computer characterization that allows students to acquire the statistical tools and the computer skills needed to deal with collection, management, analysis and synthesis of Big Data.

The course is by nature interdisciplinary but it focuses on economic-managerial subjects, through which the student faces topics related to economic, managerial and industrial contexts, as well as on legislative subjects, through which the student acquires knowledge of the normative nature of the existing relationship among data, information and communication.

The Study Program in Statistics for Big Data also gives a range of possible academic areas to specialize in. In fact, the graduate can continue his / her own education towards master's degrees in statistics, computer science and business management.

Job opportunities

The three-year degree holders will have an adequate preparation to enter the labor market and to continue his/her studies at graduate level. The employment opportunities will be in:

- production and service companies

- public entities

- research centers

- international organizations dealing with statistical and economic analysis.

Skills

The degree in Statistics for Big Data provides the tools to:

• understand and manage information flows dealing with the production of information on economic and corporate issues
• understand and intervene on the methodological system of statistical analysis aimed at solving economic and business problems, even in presence of large databases with complex structures
• manage, through IT and statistical tools, institutional databases or information systems specifically built by companies, with particular reference to complex data structures and big data
• use the appropriate methods to make accurate forecasts of economic and company values
• organize data, calculate statistical indicators and define appropriate and effective information visualization tools.

Details

Course Length	3 Years
N. of credits	180
Level of degree	EQF6
Ministerial decree n.	D.M. 270/2004
Degree class	L-41 - Statistics
Admission	Free access​
University location	UNIVERSITÀ DEGLI STUDI DI SALERNO - FISCIANO
Program Director	prof. ​Giuseppe Storti mailto:storti@unisa.it

Detailed information on the course are available on the ESSE3 university platform