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.
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.
Study Plan
I year 2025/2026
COURSE | CFU |
---|---|
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
COURSE | CFU |
---|---|
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 courses | 12 |
Additional credits
CFU | |
---|---|
Mandatory language | 4 |
Learning Innovation Activities | 2 |
Internship or Project work | 6 |
Other Activities to be defined | 4 |
Final Test | 16 |
Total CFU | 120 |
The following is the curriculum of the MSc in Data Science and Management.
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.
Luiss provides financial support to students by offering scholarships and exemptions from the annual fee
Get information on scholarships and financial aid offered by Luiss.
Luiss residences are available, as well as other types of accommodation.
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.
Teaching Cases
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.