Ca' Foscari University of Venice MA in Data Analytics for Business and Society
Ca' Foscari University of Venice

Ca' Foscari University of Venice

MA in Data Analytics for Business and Society

Venice, Italy

MA

2 years

English

Full time

Sep 2026

On-Campus

* There are several rounds at disposal to apply. For details, check apply.unive.it

* depending on your nationality, yearly fees range from 700 to 2,599 euros

Key Summary

About: Ca' Foscari University of Venice's MA in Data Analytics for Business and Society trains students in big data, quantitative methods, and AI for economic policy, corporate strategy, finance, and insurance. The programme deepens computational, statistical, and econometric skills, teaches machine learning and predictive modeling, and builds data processing and interpretation abilities across economics, marketing, HR, accounting, and social sciences. A joint degree option is available.

Career Outcomes: Graduates join data-based service development and management, scientific or healthcare teams supporting specialists, or economics and finance roles managing valuation and pricing models as data analyst or data scientist or policy analyst.

This course is primarily aimed at students who have a keen interest in the use of big data and quantitative methods, including artificial intelligence models, useful to the design of economic policies both at the micro- and macro-economic level, to the strategic choices of companies, and to the finance and insurance fields.
The course aims to deepen both the computational, statistical, and econometric aspects related to the processing of big data and digital data, as well as the skills to interpret the underlying phenomena.
Students will acquire data processing skills to interpret and analyse complex phenomena in the fields of economics, strategy, marketing, human resources, finance, accounting and social sciences in general. Furthermore, the course will provide advanced skills on machine learning techniques to extract patterns and predictive models from digital data.

The programme offers to its students the opportunity to participate in a Joint degree with a partner university.