[For Italian Candidates] A partire dal 22 agosto 2018 è possibile presentare la domanda di borsa di studio INPS per il Master.

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Why a Master in Big Data Management?

The Master in Big Data Management program prepares students to work effectively with complex, real-world data and to create value from it.
Big Data Management focuses on improving the understanding of customer patterns to increase business and improve profitability.  Working in big data management requires a hybrid set of competencies: computer expertise with a good knowledge of advanced statistical techniques, a thorough understanding of the business world and excellent communication skills. Finding this set of competencies in a single person is rare. They need to be developed with the right mix of classroom and field learning.
The Master in Big Data Management curriculum is designed to prepare students to create analytical models and interpret them from a business-oriented perspective. It prepares young professionals to pursue a career as a data scientist or business analyst for companies including large industrials, consulting firms and marketing specialists.


The Master provides students with 60 ECTS credits. It teaches them how to harness large amounts of data, design analytical models and interpret them to optimize business processes.

Among the competences provided:

  • Skills to collect, process and extract value from large and diverse data sets
  • Capacity to work with different computing tools in order to address complex problems
  • Imagination to understand, visualize and communicate findings to non-data scientists
  • Ability to create data-driven solutions that boost profits, reduce costs and improve efficiency

 Learning methods and key courses

  • Top managerial education
  • Combination of lectures and labs
  • Field project Econometrics
  • Linear algebra/Multivariate calculus
  • Machine Learning
  • Programming: Hadoop/Spark, Python, R, SQL
  • Statistics

Target audience

The Master is targeted for students with a BA or MS in Economics, Statistics, Engineering or other scientific disciplines. Fluent English and strong motivation are required.

Scientific Director and Committee

Scientific Director
Giuseppe Ragusa, Assistant Professor of Economics, Department of Economics and Finance, LUISS Guido Carli University

Scientific Committee
Francesco Castanò, Chief Information Officer, Italian National Institute of Statistics – ISTAT
Riccardo Corsini, Vice President, Government & Public Affairs, WPP Italy
Simonetta Iarlori, Chief Operating Officer, Cassa Depositi e Prestiti
Ombretta Main, Head Directorate EU and International Affairs at Italian Competition Authority – AGCM
Gianni Riotta, Pirelli Chair Visiting Professor, Princeton University