Coordinators: Giovanni Guastella and Alessandro Sbuelz
The Graduate Degree in Artificial Intelligence for Banking and Finance (AIBF) develops the professional capabilities needed to address the challenges of digital innovation and artificial intelligence in the financial sector. The programme is jointly organised by the School of Banking, Finance and Insurance and the Faculty of Mathematical, Physical and Natural Sciences, ensuring a multidisciplinary approach that brings together technological innovation with economic and financial expertise.
The study plan is built around three interconnected pillars:
- a technical‑scientific area, which provides core skills in computer science, programming, data wrangling, analysis and modelling;
- a corporate‑management area, which strengthens analytical competencies relevant to organisational decision‑making;
- a financial‑economic area, which offers specialised insights into the banking, financial and insurance industries.
The programme offers two tracks designed to support different strengths and professional goals. The Financial Data Analysis track enhances competencies in economics, management and quantitative finance, offering a strong analytical foundation for roles in financial interpretation and decision‑support.
The Data Science track provides a more intensive focus on computer science and machine‑learning applications. It includes up to 42 ECTS of informatics‑related coursework (30 compulsory and 12 elective), enabling students to develop advanced computational and AI‑driven skills that are increasingly valuable in data‑intensive financial environments.
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