|Campus||School||Duration||Total ECTS||Title of degree awarded|
|Milan, Italy||Banking, Finance and Insurance | Economics||September 2019 - September 2021||120||Laurea magistrale in Statistical and actuarial sciences|
The digital revolution is producing an enormous amount of complex data, and companies need graduates with skills in Statistics, Computer science, Business economics and Data mining to able to deal with this data.
The MSc in Data Analytics for Business and Economics prepares its graduates to design and build data-driven systems for decision-making in companies and organizations, through a curriculum that includes cutting-edge tools as well as practical activities conducted by professionals, exposing students to actual analytics problems.
Knowledge of statistical tools for summarizing and visualizing data. Advanced skills for analyzing big data, finding patterns in data, using modern techniques in computational statistics, statistical learning and data mining. Skills to apply the methodology to business problems, with data-driven solutions.
Strong methodological training (especially in the statistical, probabilistic and computational fields) along with technical know-how in the economic and business world, will allow students to identify effective responses and solutions in the different application contexts.
The curriculum in Data analytics for business and economics prepares for roles such as: Data Analyst, Big Data Analytics Specialist and Business Analytics Manager.