The master in Applied Data Science for Banking and Finance develops the student’s professional capabilities to leverage the challenges emerging from innovation by using inter-disciplinary competencies.
For this reason, the study plan for the master in Applied Data Science for Banking and Finance is based on three inter-dependent knowledge pillars: a technical-scientific area, in order to acquire computer science-oriented skills and the instruments for statistical analysis of data, a corporate-management area to develop analytical abilities within a company environment, a financial-economics area to create competences for specific analysis in sectors addressed by this degree course.