
School: Economics | Mathematics, Physics and Natural Sciences
Intake: September 2025
Edition: 6
Duration: 2 years
Language of instruction: English
Degree awarded: Laurea magistrale in Data analytics for business
Total ECTS: 120
Learning objectives
The 2-year MSc degree in Data analytics for business is designed for students who have a strong interest in data analysis.
Fully taught in English, this MSc degree provides students with a solid understanding of Statistics and Computer science, along with domain-specific knowledge in Business.
This MSc degree aims at:
- providing students with advanced knowledge on Statistics and Machine learning that enables building effective models for data analysis, inference and forecasting and to support the decision-making process;
- providing advanced skills in data management and computer programming for building algorithms suited to implement and deploy statistical methods and data analysis tools in practice;
- combining quantitative skills with business and corporate knowledge to address business challenges, identify new business opportunities and support the management with data-driven strategies;
- empowering students with data visualization tools, teamwork abilities, communication skills for an effective presentation and discussion of project results;
- completing the training with real case studies and elements of tech law related to digital technology.
Indicators of student satisfaction
89,3%
of graduating students are satisfied with their course of study
82,5%
would enrol again in a degree programme of Università Cattolica
100%
of graduates are employed within a year after graduation
Source: Read
The satisfaction of those who have completed the degree programme refers to the Graduating Students' Survey of the calendar year 2023.
The percentages relating to employment opportunities refer to graduates of 2022 (if 1 year after graduation), 2020 (if 3 years after graduation) and 2018 (if 5 years after graduation).
The percentages relating to employment opportunities refer to graduates of 2022 (if 1 year after graduation), 2020 (if 3 years after graduation) and 2018 (if 5 years after graduation).