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 Modelling

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.

CS 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.

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.

AI and Data Management Law

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.

2 Electives

Mandatory Foreign language

Other activities

Humanities

Final Thesis

Total ECTS

Other Activities