Master’s Degree Programme in Big Data and Management

Objectives of the Master’s Degree Programme in Big Data and Management

The Master’s Degree Programme in Big Data and Management focuses on improving students’ understanding of the customer journey in order to increase business possibilities and improve profitability.  Working with big data requires a highly interdisciplinary set of competencies: deep expertise in programming and computer science, good working knowledge of advanced statistical techniques, a thorough understanding of the business world, and excellent communication skills.

All these skills need to be developed with the right mix of classroom and field learning.
The curriculum of the Master’s Degree Programme in Big Data and Management is designed to prepare students to create analytical models and interpret them from a business-oriented perspective. It trains young professionals who wish to pursue a career as Data Scientists or Business Analysts.

Participants in the programme acquire:

  • skills to collect, process, and extract value from large and diverse data sets;
  • the capacity to work with different computing tools in order to address complex problems;
  • the capability to understand, visualise, and communicate findings to the top management;
  • the ability to create data-driven solutions that boost profits, reduce costs, and improve efficiency.

ECTS

The Master’s Degree Programme in Big Data and Management is a one-year Master of Science that provides students with 60 European Credit Transfer and Accumulation System (ECTS).

Target audience of the Master’s Degree Programme in Big Data and Management

The Master’s Degree Programme in Big Data and Management is aimed at recent graduates — or those graduating soon — with a Bachelor’s or Master’s Degree in Economics, Statistics, Engineering, Information Systems, Mathematics or related fields.

Career prospects

The programme puts students on career paths in a wide range of organisations in positions such as:

  • Analytics Solution Architect
  • Big Data Architect
  • Business Analytics Manager
  • Chief Data Officer
  • Data Analyst
  • Data Management Consultant

Direction and Coordination

Scientific Director

Giuseppe F. Italiano, Full Professor of Computer Science, Luiss Guido Carli University

Scientific Committee

Paolo Boccardelli, Dean, Luiss Business School
Luca Pirolo, Head of Master’s Programmes, Luiss Business School
Massimiliano Calogero, Partner, KPMG Advisory S.p.A.
Walter Ruffinoni, CEO, NTT DATA Italy
Paolo Spagnoletti, Associate Professor of Information Systems and Organisation, Luiss Guido Carli University
Flavio Venturini, Innovation Director, ICONSULTING