Students
Tuition Fee
EUR 6,000
Per year
Start Date
2026-02-05
Medium of studying
On campus
Duration
1 years
Details
Program Details
Degree
Masters
Major
Data Analysis | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 6,000
Intakes
Program start dateApplication deadline
2026-02-05-
About Program

Program Overview


Program Overview

The Data Intelligence and Decisional Strategies program is a Master's degree course with the ID 04560, offered during the academic year 2025/2026. It is an annual program with a tuition fee of 6000 and a total of 60 CFU.


Program Details

  • Course Type: Master
  • Academic Year: 2025/2026
  • Degree Level: M2
  • Length: Annual
  • Tuition Fee: 6000
  • CFU: 60

Admission Criteria

  • The program has a specific admission process, with the deadline for application submission set for January 31, 2026.
  • A admission test is scheduled for Thursday, February 5, 2026, at 3:00 pm in SALA 34.
  • The test will cover prior knowledge related to the course modules.

Educational Goals

The program aims to enrich the skills of managers and executives by providing tools for data analysis, artificial intelligence, and decision support. It seeks to form professionals with multidisciplinary skills capable of managing the acquisition and management of corporate and Big Data, and building analytical models that add value to business decisions. The program also focuses on technical aspects through modules on Data Driven Decision Making, Interpretable Artificial Intelligence, and Data Science, using platforms and software like Python, Hadoop, CPLEX, R, and DISCO-Flexicon.


Program Structure

The program includes various modules and activities designed to optimize managerial decisions and business processes through the use of modern data analysis and business intelligence tools. It covers topics such as marketing, customer management, service quality, production, resource allocation, forecasting, and risk analysis. Students will learn to use and integrate tools and techniques of Machine Learning and Data Mining, manage, analyze, and synthesize knowledge from Big Data using distributed systems like Hadoop and Spark, and interact with generative artificial intelligence algorithms for tactical-operational support and business process redesign.


Additional Information

  • Adesione al Protocollo d'intesa PA 110 e lode: Si
  • Importo PA 110 e lode: 5400
  • Numero posti PA 110 e lode: 3
  • Director: Dell'Olmo Paolo
  • Department: Scienze statistiche
  • Faculty: Facoltà di Ingegneria dell'informazione, informatica e statistica
  • Location: Roma, Italia

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