Management and Artificial Intelligence
- Degree
- Undergraduate School
- Credits
- 180 ECTS
- Duration
- 3 Years
- Language
- English
- Year
- 2026/2027
The Luiss Bachelor’s Degree in Management and Artificial Intelligence, belonging to the L-18 degree class and taught entirely in English, prepares professionals capable of leading digital transformation through a strong economic, managerial and entrepreneurial perspective.
The programme combines quantitative and IT skills with economics and management, training professionals able to understand the potential of Artificial Intelligence, Big Data and machine learning and apply them to decision-making processes and business strategies.
Through workshops, company-based project work, real-world case studies and challenge-based learning activities, including the Grand Challenge, students develop analytical skills, problem-solving abilities and collaboration skills. The programme does not require prior IT knowledge and enables students to progressively acquire the tools needed to interact both with technology functions and with organisational management.
Director
Mauro Sozio
The study plan of the Luiss Bachelor’s Degree in Management and Artificial Intelligence combines STEM disciplines, economics, management and law through a progressive and interdisciplinary pathway.
The first year provides the foundations in programming, algorithms and data structures, mathematics, statistics, economics and law, complemented by practical laboratory activities.
The second year focuses on the application of data science, machine learning and Artificial Intelligence to business processes and managerial decision-making.
The third year is dedicated to advanced data management, finance and Artificial Intelligence regulation. Elective courses and learning activities allow students to personalise their study path according to their interests.
Lectures are complemented by workshops, project work with corporate partners, real-world cases and simulations, enabling students to transform data and algorithms into strategic solutions for businesses.
Study Plan
Mathematics
This course provides an introduction to single-variable calculus and linear algebra, covering key concepts and tools through examples, exercises, and theoretical discussions.
Introduction to Computer Programming
This course explores the fundamentals of programming and computational thinking. It delves into the role of computation in problem-solving and teaches you how to write simple programs to accomplish useful tasks.
Microeconomics
This course provides the tools to understand the economic behavior of consumers, producers, and markets, with a focus on how markets function and where they malfunction (failures).
Digital Business Management
This course provides an introduction to managerial principles and decisions, with a particular focus on those related to digital transformation. It provides theoretical knowledge and practical skills to critically address strategy and coordination issues in digital business contexts.
Statistical Modeling
This course introduces the main concepts of probability and statistics, providing the methodological foundations for data collection and analysis.
Algorithms
This course provides an in-depth understanding of fundamental algorithms and data structures, with a focus on applications and performance analysis through real-world case studies. This allows students to develop skills in algorithmic design and tackle complex problems.
Legal Systems in the Digital Age
This course provides an introduction to the European and Italian legal systems, with a focus on private law and information technology.
Principles of Accounting
This course introduces the basic vocabulary, concepts, and applications of accounting and financial statement analysis.
AI Lab
In this computer science lab, students will work in teams to design and implement practical solutions to real-world challenges from industry or academia.
Grand Challenge
In this course, students work together in groups, applying data analysis techniques and artificial intelligence to solve real business problems. These challenges are identified and assessed by leading figures in the business sector.
Machine Learning
This course provides an in-depth understanding of the fundamentals, scope, and approaches of artificial intelligence. It focuses on machine learning algorithms and their application to problems, which helps us understand how, why, and when machine learning methods work.
Business Law and ICT
This course provides a solid understanding of key business issues concerning the intersection (and sometimes the conflict) between legal institutions and new technologies.
Data, AI and Organizations
This course explores models and practices related to the widespread integration of data and artificial intelligence within organizational contexts.
Data Analysis for Businesses
This course explores how organizations collect, analyze, store, and interpret large-scale data to develop informed business strategies. It also provides a framework for understanding data analysis and for strengthening critical thinking and decision-making skills.
Macroeconomics
This course provides the methodological and theoretical tools to understand how economies work and to explain past and current economic developments.
Artificial Intelligence Techniques
This course covers Natural Language Processing (NLP) techniques, focusing on a computer's ability to understand both spoken and written human language. These techniques combine computational linguistics with statistical methods, machine learning, and deep learning models.
Social Network Analysis
This course provides the fundamental tools for analyzing social networks (graph theory, probability, game theory, and optimization), with a focus on formalizing real-world situations involving networks.
Humanities
Business and Marketing Analytics
This course provides a comprehensive understanding of new research methods based on customer and market data to enhance the marketing decision-making process.
Finance and Financial Technologies
This course provides an introduction to corporate finance and financial markets, and also explores the role of fintech companies.
Business Law of Data and AI
The course offers an overview of the key legal issues surrounding artificial intelligence and data management, from a European and comparative legal perspective. It also provides the tools to understand the interplay between technological progress and corporate law.
Databases and Big Data
This course provides a solid foundation in both classic data management concepts and modern principles related to “Big Data.” These concepts are analyzed both theoretically and through practical application contexts.
Additional Credits
2 Electives
Mandatory Foreign language
Other activities
Internship
Final Thesis
Total ECTS
Luiss offers students enrolled in the Bachelor’s Degree in Management and Artificial Intelligence numerous international opportunities to study abroad and develop intercultural skills.
Available programmes include:
- Double Degree in Management and Artificial Intelligence with Kozminski University;
- International Honours Programme – Stanford Summer Session;
- Erasmus+ and international exchanges;
- Free Mover Semester Abroad;
- Summer Schools Abroad;
- ENGAGE.EU International Mobility Programmes.
Discover all the international programmes and study abroad opportunities offered by Luiss to enrich your academic and professional journey.
Starting from October 2026, the admission calls will be published, providing the requirements, application procedures and deadlines for submitting an application for admission to the Bachelor’s Degree in Management and Artificial Intelligence.
Tuition Fee
The annual tuition fee for enrolment in the first year of the Bachelor’s Degree in Management and Artificial Intelligence for the 2027/2028 academic year is €15,000, payable in three instalments, in addition to the regional tax.
Scholarships and Financial Aid
Luiss offers scholarships and partial or full tuition fee waivers, also thanks to the support of public and private partners. Students can access concrete financial support throughout their academic journey.
The Bachelor’s Degree in Management and Artificial Intelligence offers concrete career prospects in the fields of Artificial Intelligence, data analysis and digital transformation, as well as numerous opportunities to continue studying in Italy or abroad.
Graduates can work in the digital and technology departments of companies, consulting firms, tech companies, start-ups and fintech organisations, taking on roles in data analysis, AI strategy, digital transformation, business process management and the development of innovative solutions.
The programme also provides a solid foundation for accessing Luiss Master’s Degree Programmes, first-level university Master’s programmes or postgraduate programmes in management, data science, Artificial Intelligence and innovation.
Luiss Alumni Network
After graduation, students can join the Luiss Alumni Network, an international community of more than 70,000 alumni.
Through 19 international chapters, the network fosters professional relationships, experience sharing and dialogue across generations. Activities include networking events, training sessions, reunions, cultural visits and initiatives dedicated to the alumni community.
