Management and Artificial Intelligence

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Bachelor's Degree Programs
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Undegraduate School

Viale Romania, 32

00197 Rome

T 06 85225310



didactics@luiss.it



For information about admissions: ammissione@luiss.it

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Management and Artificial Intelligence
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180
Years
3
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Luiss Guido Carli
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Irene Finocchi
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Computer Science Professor at Luiss since 2020. Research interests on big data analytics, working at the intersection of programming languages and algorithmics. Associate Editor of ACM JEA, Data, steering and PC member of major conferences, winner of distinguished and best paper awards. Enjoy teaching.‎

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finocchi@luiss.it
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Programme Insight

This programme combines managerial and quantitative skills with an in-depth knowledge of cutting-edge digital technologies. Through an interdisciplinary curriculum that incorporates STEM disciplines, business and management sciences, the programme is designed to educate  innovative leaders capable of successfully navigating an ever-changing technological landscape. The learning environment emphasises the practical use of digital technologies, from machine learning to artificial intelligence, to develop innovative solutions to modern business problems. The programme focuses on how these technologies can be applied to optimise business operations, improve strategic decisions, and enhance the overall performance of organisations.

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Study Plan

I year 2025/2026

COURSE CFU

Mathematics

 

 8

Introduction to Computer Programming
 

 6

Digital Business Management

 

 8

Principles of Accounting

 

 8
II Semester  

Statistical Modeling

 

 8

Algorithms
 

 8

Legal System in the Digital Age

 

 6

Microeconomics

 

 8

 

II year 2026/2027

COURSE CFU

Grand Challenge

 

 4

Machine Learning

 

 8

Business Law and ICT

 

 6

Data, AI and Organizations

 

 8

Data analysis for Business

 

 8

Macroeconomics

 

 8
Artificial Intelligence Techniques 8

Social Network Analysis

 

 8

Artificial Intelligence Techniques

 

 8

III year 2027/2028

COURSE CFU

Business and Marketing Analytics

 

 8
AI and Data Management Law

 		 6
Databases & Big Data

 		 8

Finance and Financial Technologies

 

 8
3 elective courses  18

Additional Credits

Activities CFU
GAP 1  2
GAP 2 2
Mandatory language 4
Other Activities 4
Final Thesis 4

Total CFU

180

The course is subject to approval from the Italian Ministry of University and the study plan could change.

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Synergies between Research and Learning
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You will learn how to analyze and interpret data.
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Interdisciplinarity and Largelearning
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You will learn to integrate ideas and information across multiple settings and contexts.
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Active Learning
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You will experience engaging lectures based on discussion, collaboration, production, and practice.
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Project-Based Learning
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You will be challenged to solve real problems through both individual and group activities.
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Ed-Tech
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You will use innovative technologies designed for higher education teaching and learning.
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Study Plan

I year 2025/2026

COURSE CFU


Mathematics
 

 8


Introduction to Computer Programming
 

 6
 

Microeconomics
 

 8


Digital Business Management
 

 8

Statistical Modeling
 		 8

Algorithms
 		 8
 

Legal System in the Digital Age
 

 8
 

Principles of Accounting
 

 8

II year 2025/2026

COURSE CFU
 

Grand Challenge
 

 4


Machine Learning
 

 8


Business Law and ICT
 

 6
 

Data, AI and Organizations
The course reviews and critically examines several models and practices related to the pervasive use of data and artificial intelligence within organizational boundaries.

 8
 

Data analysis for Business
 

 8
 

Macroeconomics
 

 8
 

AI and Data Management Law
The course offers a glimpse over the main legal issues of Artificial Intelligence and data Management law from an EU and comparative law perspective to equip students with tools to understand the interplay between technological advancements and business law.

 6
 

Databases & Big Data
The course aims to provide the students with a solid understanding of classical notions of data management as well as modern concepts related to the so-called 'Big Data'. Notions will be analyzed both formally and using practical application scenarios.

 8

III year 2026/2027

COURSE CFU
 

Business and Marketing Analytics
This class introduces to contemporary research on the political economy of development. Students will learn how to answer main questions regarding the proximate and the fundamental causes of growth and development and connect theories routinely to real-world examples.

 8
 

Social Network Analysis
The course aims at making the students familiar with the Western political systems and the features of the main Western institutional settings and models, their historical development, and theoretical premises, thus enabling a deeper understanding of contemporary politics.

 6
 

Artificial Intelligence Techniques
This course explores the debates on the relationship between politics and society, between social and political institutions, and between social and political behavior. Students will gain basic understanding on the theoretical tools, methodologies, and techniques for political sociology analysis.

 6


Finance and Financial Technologies
The main goal of this course is to provide a knowledge basis of the Corporate Finance and Financial Markets fields, together with a broad introduction to the role of Fintech companies.

 8
3 elective courses  18


Additional Credits

  CFU
GAP 1  2
GAP 2 2
Mandatory language 4
Other Activities 4
Final Thesis 4
Total CFU 180
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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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Luiss provides financial support to students by offering scholarships and exemptions from the annual fee

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

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