Data Science and Management 

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Graduate School

Viale Romania, 32

00197 Rome

T 06 85225310



didactics@luiss.it

 

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Title
Data Science and Management
ECTS
120
Years
2
Start Date
Place
Luiss Guido Carli
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Academic Year
2025-2026
Course Language
English
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The Course at a Glance

The Master’s Degree in Data Science and Management is designed to train the leaders of the future by equipping them with skills in artificial intelligence, data science and management through a comprehensive and balanced education. With a practical and applied approach, the curriculum provides a competitive advantage for entering the world of work. In a world increasingly focused on digitisation and the use of data, this programme is a progressive response to the needs of modern organisations, which require professionals who can harness the power of data to drive innovation and meet the challenges of the digital revolution.

Useful information:

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Course Programme and Curriculum

The Master’s Degree in Science in Data Science and Management is a two-year course designed to provide students with advanced skills in the analysis of complex data and strategic decision-making.

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Study Plan
Accordion Group
Study Title
1st Year2025-2026
Lingua
English
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Duration
Course
Label Credits
‎ CFU
Rows
Title
Data Science in Action
Description
The course is designed to be the missing link between model-based analysis and data-centric techniques. It makes use of many examples of real-life event logs to illustrate the concepts and algorithms presented in the other courses.
Credits
6
Title
Advanced Statistics
Description
The course provides an overview of advanced statistical methods for data science, with a focus on the advantages and limitations of approaches, interpretations, and main applications in various disciplines, particularly in economics, business, and management.
Credits
6
Title
Python and R for Data Science (Lab)
Description
The course provides technical coding skills for data analysis. Python programming language and R environment are illustrated with a specific focus on libraries, modules, and functions to manage data effectively.
Credits
6
Title
Data-driven Innovation
Description
The course provides the tools to understand the correlation between available data sources and the innovation path of an enterprise, with case studies of companies that have fostered innovation through data.
Credits
6
Title
Digital Ecosystems
Description
The course reviews and analyses current theories of ecosystems in the fields of information systems, organization studies and business strategy and innovation. Specific attention is dedicated to ecosystems that evolve around the production, sharing, analysis, and exchange of data.
Credits
6
Title
Data Visualization
Description
The course provides an overview of the principles and tools of data visualization. Students learn how data analysis and visualization work together to create a powerful way for communicating data-driven findings, motivate analyses, and detect flaws.
Credits
6
Title
Internet and Network Economics
Description
The course provides an understanding of the internet and digital economy. It provides students with concepts from economic theory, to understand the significant transformations brought about by the emergence and diffusion of information and communication technologies.
Credits
6
Title
Data Privacy and Security
Description
The course provides an in-depth understanding of data privacy and security in technology-enabled environments. It focuses on technological solutions, methods, and practices for data protection in business organizations and peer to peer networks.
Credits
6
Title
Machine Learning
Description
The course offers an in-depth understanding of the foundations, scope, and approaches of machine learning, focusing on their application to problems in different disciplines, particularly business and management.
Credits
6
Study Title
2nd Year 2026-2027
Lingua
English
Tables
Duration
Course
Label Credits
CFU
Rows
Title
Big Data and Smart Data Analytics
Description
The course focuses on fundamental algorithmic, statistical, and programming issues posed by big-data analytics. It addresses major problems and techniques for extracting knowledge from massive amounts of data.
Credits
6
Title
Privacy in the Digital World
Description
The course builds a solid background on privacy and data protection law from a European and comparative perspective. It equips students with tools to manage fairly and responsibly personal data processing within organizations.
Credits
6
Title
International Operations and Global Supply Chain
Description
The course provides knowledge and skills to adopt operations and supply chain principles in international environments. Students learn to design, plan, operate, and control manufacturing, production, logistics, and operations systems within the supply chain framework.
Credits
6
Title
Ethics for Artificial Intelligence
Description
The course focuses on the ethical issues of the latest developments of AI, with a focus on algorithmic judgment.
Credits
4
Title
2 Elective Courses
Credits
12
Title
Mandatory Language
Credits
4
Title
Internship or Project Work
Credits
8
Title
Other activities to be defined
Credits
4
Title
Final Test
Credits
16
Title
Total CFU
Credits
120
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Admission procedures and requirements

Admission to the Degree Course in Data Science and ManagementFinance represents a unique opportunity to join an academic environment of excellence. 

Luiss Guido Carli carefully selects its students, guaranteeing high quality services and the best conditions to facilitate their university journey towards personal and professional growth. Our University puts its students at the centre, offering constant support and personalised attention.  

 Find out all the information you need to take the next admission test and start on your path to academic and professional success. 

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International experiences and opportunities

The International Development Office offers a number of programmes for students, which can be accessed depending on the current or future degree course. 

Discover all the international programmes and opportunities for experience abroad offered by Luiss, to enrich your academic and professional career. 

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Career Paths

The Data Science and Management programme trains new business leaders to effectively apply data-driven methodologies across multiple business domains.  

By way of example, here are three potential career paths for graduates of this programme: 

  • Data Scientists: experts in solving complex problems using advanced quantitative methods and computer science techniques to extract knowledge and strategic value from data. 
  • Data Intelligence Analysts: professionals capable of integrating data science methodologies into strategic and business processes. 
  • Data Managers: responsible for managing, collecting and processing large data streams, with skills in assessing their reliability, privacy and security.

Graduates and employability 

  • The employment rate of Luiss graduates 1 year after graduation is 96%.
  • The average waiting time between graduation and first job is 1 month. 64% of employed graduates already have an offer before graduating.
  • 10% work abroad.
  • Luiss has active partnerships with over 500 companies, public and private institutions, and multinationals to offer undergraduates and recent graduates concrete job opportunities.
  • 3,350 placements between internships and jobs in 2023.
  • 2,522 individual Career Guidance meetings.
  • 80 events including 4 Career Days and 336 Employers involved.
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Tuition fees, scholarships and benefits

The single annual fee envisaged for enrolment in the Master’s Degree in Data Science and Management is €13,600.00 (divided into 3 instalments*) and regional tax.

 Luiss offers scholarships and partial or total exemptions from university fees, also thanks to the support of public and private partners. Both male and female students have access to concrete support during their academic career. In addition, the University has entered into agreements with Italian banking institutions to offer flexible financing without collateral.

 Check out all the opportunities related to Scholarships and Financing. 

 *The amount of the regional fee will be decided by the Lazio Region in June/July 2025.

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Content

Luiss Welcome Desk: support for international students on legal and health issues and orientation in the Italian context.

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Master’s Degree in Data Science and Management | Luiss
SEO Description
Master’s Degree in Data Science and Management: advanced skills in AI, data analysis and management to drive business innovation.