Level:

Master's Degree

Degree Classification:

LM-91 R (Methods and techniques for the information society)

Venue:

Venice

Language:

English

Attendance:

Not compulsory

Duration:

2 years

ECTS/CFU:

120 credits

Admission:

Open

International:

Programme with Double or Joint Degrees

How to enrol

If you are enrolling with a qualification obtained in Italy, follow the procedure described on the page:

If you are enrolling with a qualification obtained abroad, follow the procedure described on the page:

Why choose this programme

1

enhance your education by mastering quantitative methods and data-driven analysis. This expertise will enable you to interpret large datasets for institutions, banks, and businesses, offering crucial insights for strategic decision-making and policy evaluation

2

this programme provides advanced training in data processing and the analysis of complex phenomena across various fields, including economics, strategy, marketing, human resources, finance, accounting, and social sciences

3

you may select from two pathways - Business Application and Fintech and Big Tech - both of which offer a robust quantitative foundation rooted in computing technologies, artificial intelligence, statistical learning, and mathematical optimisation to aid strategic decision-making and risk analysis

Overview

The Data Analytics for Business and Society degree programme examines both the computational, statistical, and econometric aspects involved in processing big data and digital data, as well as the ability to interpret the underlying phenomena.

Students on the course will develop the skills needed to process data for interpreting and analysing complex phenomena in the fields of economics, strategy, marketing, human resources, finance, insurance, and social sciences more broadly. Additionally, the course offers advanced expertise in machine learning techniques for extracting patterns and building predictive models from digital data.

The programme is structured into two curricula — Business Application and Fintech and Bigtech — which share a common quantitative foundation. It emphasises information technologies and learning methods typical of artificial intelligence, alongside statistical learning methods and mathematical optimisation techniques for decision-making and risk analysis.

Opinions

Agar Brugiavini

Programme coordinator

“This degree programme, taught entirely in English, will enable you to respond effectively to the evolving needs of companies in the financial sector, driven by increasing digitalisation and vast amounts of available data. The extensive use of data and the adoption of suitable quantitative methods will allow for a thorough exploration of both computational aspects and their economic and business implications.”

International network, experience abroad and employment

You can apply to spend part of your curriculum abroad by participating in international programmes organised in collaboration with one or more partner universities and leading to a Double Degree or a Joint Degree.
Current Double Degrees:

Ca' Foscari has over 1,500 partnerships with international institutions, including programmes like Erasmus+ and Overseas, enabling students to study and intern abroad.

Ca' Foscari's Career Service guides you into the world of work with advice services, CV support, meetings with institutions and companies, and the search for and setup of training internships in Italy and abroad.

 

What you will study
Study plans for the academic year 2025/2026

After graduation

as a Specialist in Data Analysis for Business and Society, you can pursue a career as a business analyst or as a multidisciplinary professional with expertise in computing, programming, mathematics, and data visualisation. You will assist companies not only in leveraging available data to gain a competitive edge but also in developing new business models

you may find employment in the tertiary sector and public administration, as well as in industrial and corporate environments, managing projects and proposing innovative solutions in information systems. Additionally, opportunities exist in the scientific, technological, biological, and healthcare sectors, providing analytical support to specialists in the field. You can contribute to managing complex evaluation and pricing models in the economic-financial sector

you may also opt to advance your education by pursuing a PhD in Economics, Business, or Computer science

Where

Department of Economics
San Giobbe, Cannaregio 873, Fondamenta San Giobbe, 30121 Venice (Italy)

Contacts

Economic Campus

ADiSS - Economic Campus
San Giobbe [ITA], Cannaregio 873, Fondamenta San Giobbe, 30121 Venice (Italy)

Campus services: campus.economico@unive.it
Economic area internships: stage.areaeconomica@unive.it

Degree programme website (permalink): www.unive.it/degree/emr14