Analytics and Data Science for Economics and Management

This interdisciplinary Course is aimed at students who have a keen interest in using quantitative data analysis to extract insights for businesses, private and public organisations. It provides the knowledge and the skills to deal with the mathematical, statistical, and computational aspects of digital data processing and the understanding of how to approach economic and management issues.
Students will learn how to interpret and model complex phenomena and to develop evidence-based answers to relevant questions in the fields of economics, marketing, management control, business intelligence and social sciences.

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Discover the programme

Master's Degree

Type of programme

Master's Degree

Free access courses

Type of admission

Free access courses

English

Language

English

Brescia

University site

Brescia

Department of Economics and Management

Department

Department of Economics and Management

LM Data - Data science

Degree identification category

LM Data - Data science

Study Plan

The first year of the course will be activated from the 2022/23 academic year.

Notices

Italian language CISIA test: registration open for 2023/24 a.y.

From 21 February at Noon non-EU citizens living abroad can register via online PICA procedure for the Italian language test TEST-ITALIANO-L2  held as @CASA - 2023/24 a.y.

February 21, 2023

Call for application: Scholarships for International Students a.y. 2023/2024

 

February 17, 2023

Student Advisory Service

Student representatives

Degree programme committees

COURSE TEACHING REGULATIONS

The teaching regulations specify the organisational aspects of the course, according to the corresponding system, respecting the freedom of teaching and the rights-duties of professors/lecturers and students.

CENTRES AND CONTACTS

 

Course Educational Services
U.O.C. Servizi Didattici (Educational Services)
Dipartimento di Economia e Management (Department of Economics and Management)
Via S. Faustino 74/B, Brescia

Call Center 800 66 34 23

Contact the Student Administration offices

 

Last updated on: 03/10/2023