To access the Master’s programme, candidates must hold one of the following qualifications:
- a university degree of at least three years’ duration (according to regulations prior to Ministerial Decree 509/99);
- a degree awarded under Ministerial Decree 509/99;
- a degree awarded under Ministerial Decree 270/04;
- an equivalent qualification obtained abroad and recognised as valid by the Scientific Committee of the programme, exclusively for admission purposes;
- any other qualification provided for by current regulations that grants access to university Master’s programmes.

Admission to the Master’s program is based on evaluation of qualifications. No entrance selection tests are required. Candidates are assessed on the basis of the relevance of their academic degree and previous educational background to the objectives and contents of the Master’s program. The selection is carried out by a committee appointed by the Scientific Council of the course.

The Master’s programme trains an Artificial Intelligence Specialist for Business, equipped with interdisciplinary competencies aimed at integrating AI into organizational processes. This professional profile combines technical and methodological knowledge (data science, machine learning, data management) with the ability to critically assess ethical, legal, and strategic implications. Graduates are capable of designing, evaluating, and implementing AI-based solutions, supporting innovation and digital transformation across diverse organizational and professional contexts. They operate as an interface between technological and decision-making domains, facilitating effective alignment between technical capabilities and strategic objectives.

Upon completion of the programme, participants will be able to understand, design, and integrate Artificial Intelligence solutions within organizational contexts, adopting an interdisciplinary approach that combines technical-methodological expertise, critical thinking, and strategic vision.

More specifically, they will be able to:
- acquire foundational knowledge of AI, programming (Python), data management, and machine learning and data science algorithms;
- develop the ability to critically assess the impact of AI on individuals, organizations, and society, considering ethical, legal, and cultural dimensions;
- design and implement AI-based solutions in business contexts, with reference to processes, strategies, and organizational models;
- apply AI across various domains (HR, industry, marketing, finance, services), fostering innovation and digital transformation;
- enhance transversal skills in analysis, design, collaboration, and data-driven decision-making.