Master’s Degree in Data Analytics for Economics and Management

The programme combines quantitative skills and economic and managerial knowledge to train professionals able to turn data into decisions. The curriculum includes computer science and algorithms, statistics and machine learning, econometrics and mathematics, programming for data science, big data and ethical and legislative issues related to the use of data, as well as problem-solving and teamwork activities. This combination makes it possible to acquire a solid methodological foundation and, at the same time, the ability to apply it to real economic and business problems. The working method is based on the use of real data and programming tools, with which students learn to build models, interpret results and communicate them effectively to decision-makers.

Teaching is organised over two years, full time, at the Bolzano campus and in English, with a significant share of lessons in a foreign language and the involvement of international faculty. The programme is built around a common methodological core, alongside which there are two tracks: Data Analytics for Economics, more oriented towards quantitative economic analysis, and Business Analytics, focused on the use of data for management and business decisions. Training internships abroad and at international companies are provided, offering the chance to put the skills acquired into practice and to build a network of professional contacts. The university also offers the option of scheduling an orientation interview, useful for those who want to clear up doubts about the programme before enrolling. The choice between the two tracks makes it possible to calibrate the study plan to personal goals: those aiming at research or in-depth economic analysis can lean towards the first, while those who want a role closer to business management can opt for the second.

The aim is to develop skills for extracting meaningful information from large datasets and for working as data analysts, data scientists, managers and consultants in data-driven organisations. The resulting profile is sought after in banks, insurance companies, industrial and service companies, consulting firms and public institutions, where decisions are increasingly based on quantitative evidence. For those who wish to pursue research, the programme also prepares for access to doctoral programmes in quantitative economics and data science. The programme is suited to graduates in economics, statistics, mathematics, computer science or engineering who want to combine analytical thinking with managerial vision. Reflection on the ethical and legislative aspects of big data helps train professionals who are aware of the responsibilities connected with the use of information, in particular with regard to privacy, transparency and the fairness of algorithms.