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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Titolo
Data Science and Management
ECTS
120
Years
2
Data Inizio Corsi
Luogo
Luiss Guido Carli
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Programme Director
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Person Name
Blerina Sinaimeri
Person Bio

A picture is worth a thousand words: in the world of Big data, the DataVis course provides tools and technologies that are essential to analyze massive amounts of information and make data-driven decisions.

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Contacts
Email
bsinaimeri@luiss.it
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Faculty
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Name
Paolo Spagnoletti
Motto

Digital artifacts are purposefully incomplete and perpetually in the making. Therefore, we need to balance the beauty of openness with the concerns of data protection.

Email
pspagnoletti@luiss.it
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Name
Irene Finocchi
Motto

A teacher can never truly teach unless he is still learning himself…(he who) has come to the end of his subject, who has no living traffic with his knowledge but merely repeats his lesson to his students, can only load their minds, he cannot quicken them.  [Rabindranath Tagore]

Email
finocchi@luiss.it
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Name
Alessio Farcomeni
Motto

The course in Advanced Statistics is bound to give the students the ability to explore information in real data sets that modern management encounters

Email
afarcomeni@luiss.it
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Caratteristiche del corso

Un corso per formare i leader del futuro dotandoli di competenze in intelligenza artificiale, data science e management grazie a una formazione completa e bilanciata. Con un approccio pratico e applicativo, il curriculum offre un vantaggio competitivo per entrare nel mondo del lavoro. In un mondo sempre più orientato alla digitalizzazione e all'uso dei dati, infatti, questo programma rappresenta una risposta avanzata alle esigenze delle organizzazioni moderne, che necessitano di professionisti in grado di utilizzare il potere dei dati per guidare l'innovazione e affrontare le sfide della rivoluzione digitale.

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Study Plan

I year 2025/2026

COURSECFU

Data Science In Action

 
6

Advanced Statistics
 
6

Python and R for Data Science (lab)

 
6

Data-driven Innovation

 
6

Digital Ecosystems
 
6

Data Visualization

 
6

Internet and Network Economics

 
6

Data Privacy and Security

 
6

Machine Learning

 
6

II year 2026/2027

COURSECFU

Big Data and Smart Data Analytics;

 
6

Privacy in the Digital World

 
6

International Operations and Global Supply Chain

 
6

Ethics for Artificial Intelligence

 
4
2 elective courses12

Additional credits

 CFU
Mandatory language4
Learning Innovation Activities2
Internship or Project work 6
Other Activities to be defined4
Final Test16
Total CFU120
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Study Plan
Description
Students are given a solid preparation on data science methodologies and technologies, including courses on Advanced Statistics, Python and R for Data Science, Machine Learning, Data Visualization and Big Data Analytics. This solid training on STEM disciplines is complemented with innovative courses on economic disciplines, including Internet and Network Economics, Digital Ecosystems, Data-driven Innovation and Privacy in the Digital World.

The following is the curriculum of the MSc in Data Science and Management.
Accordion Group
Study Title
Major: Data Science and Management
Lingua
English
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Duration
I year - 2023-2024
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Data Science In Action
Description
The course is designed to be the missing link between model-based analysis and data-centric techniques. It will make use of many examples of real-life event logs to illustrate and bring down to earth the concepts and algorithms presented in the other courses.
Credits
6
Title
Advanced Statistics
Description
The course provides an overview of some advanced statistical methods for data science. The focus is on understanding the advantages and limitations of each approach, interpretation, 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 aims at providing technical skills about coding aspects for data analysis. The Python programming language and the R environment are illustrated with a specific focus on those libraries, modules and functions that allow the students to manage data effectively.
Credits
6
Title
Data-driven Innovation
Description
The course provides a tool to understand the strong correlation that exists nowadays between the available data sources and the innovation path of an enterprise. Will be present case histories of real enterprises that have built innovation starting from data.
Credits
6
Title
Digital Ecosystems
Description
The course reviews and analyzes current theories of ecosystems in the fields of Information Systems, Organization Studies and Business Strategy and Innovation. In particular, ecosystems that evolved around the production, sharing, analysis and exchange of a variety of resources among which data figure prominently.
Credits
6
Title
Data Visualization
Description
The course provides an overview of the principles and latest tools of data visualization. Students will learn how data analysis and visualization should 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 economics of the internet and the digital economy. It will provide students with concepts from economic theory to make sense of 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, and 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 provides an in-depth understanding of the foundations, scope and approaches of machine learning and it focuses on their application to problems in various disciplines, particularly in business and management.
Credits
6
Duration
II year – a.a. 2024/2025
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CFU
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Big Data and Smart Data Analytics
Description
The course will focus on fundamental algorithmic, statistical, and programming issues posed by big-data analytics, tackling major problems and techniques for extracting knowledge from massive amounts of data.
Credits
6
Title
Privacy in the Digital World
Description
The goal of the course consists of building a solid background on privacy and data protection law from a European and a comparative perspective and equipping students with tools to manage personal data processing fairly and responsibly within organizations.
Credits
6
Title
International Operations and Global Supply Chain
Description
he course seeks to supply knowledge and skills to apply operations and supply chain principles to international environments. The students will 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 involved in the latest developments of AI which are embedded in more and more facets of our lives, in particular on the algorithmic judgment at its core, which as of today is developing at an impressive speed.
Credits
4
Title
2 Elective Courses
Description
Credits
12
Duration
Ulteriori crediti
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CFU
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Mandatory Language
Credits
4
Title
Learning Innovation Activities
Credits
2
Title
Internship or Project Work 
Credits
8
Title
Other Activities to be Defined
Credits
4
Title
Final Test
Credits
16
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Total CFU
Credits
120
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Acceso
Title
Luiss Uniqueness
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Synergies between Research and Learning
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Description
You will learn how to analyze and interpret data.
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Enquiry-Based Learning
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You will learn to apply scientific methods to produce knowledge and communicate it to audiences.
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Interdisciplinarity and Large Learning
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You will learn to integrate ideas and information across multiple settings and contexts.
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“Be Curious Like an Enquirer”
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You will reinforce your analytical and communication skills through integrative activities.
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“Be a Project-Based Intern”
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you will gain expertise to thrive in the complex and everchanging job market and society we live in.
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Ed-Tech
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You will use innovative technologies specific to higher education teaching and learning.
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Continuous Assessment
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Your knowledge and skills will be evaluated throughout the semester using different methodologies.
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Network Immersiveness
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You will interact with alumni and our external partners in various activities i.e. guest lectures.
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Alumni and Students
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Name
Francesco Redaelli
Motto

"I was fascinated with the project-based learning method, combining different competences and abilities and strengthening teamwork skills, which are crucial in today’s complex job market"

Email
francesco.redaelli.99@gmail.com
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Job Opportunities

Data Science and Management will train the new business leaders who are able to effectively deploy data-driven methodologies for several business applications. To give an idea, the following three are possible job opportunities for this Master:

  • Data Scientists, capable of tackling today’s complex problems through the deployment of suitable quantitative methodologies and computer science techniques, so to extract knowledge and business value from data.
  • Data Intelligence Analysts, capable of integrating data science methodologies inside strategic and business processes.
  • Data Managers, capable of coordinating the collection and processing of huge data flows, and to best practice for evaluating their reliability, privacy, and security.
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Admissions
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If you’ve made the choice to start or further your academic career at Luiss, you can find an overview of the application procedure here.

Want to know more? We’re happy to answer any questions you might still have.

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Scholarships
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Luiss provides financial support to students by offering scholarships and exemptions from the annual fee

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Scholarships and financial Aid
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Get information on scholarships and financial aid offered by Luiss.

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Residences and Accommodation
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Luiss residences are available, as well as other types of accommodation.

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International Opportunities
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Student Mobility Office

The Luiss Student Exchange Office promotes student exchanges within the Erasmus Program, as well as through bilateral exchange agreements with non-European universities.

 

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‎Teaching Cases

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Paolo Spagnoletti, Niloofar Kazemargi, Andrea Prencipe
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To Cloud or not to Cloud Strategic Choices and IT Governance in the Digital Transformation of a University

The Head of Research and Teaching Office at Luiss University proposed to adopt a single Learning Management System across the 60 programs offered by the four departments. The challenge was to select a technological solution that could fit students’ and professors’ needs, and also reduce the risk of downtime.

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