The Graduate Degree in Artificial Intelligence for Banking and Finance (AIBF) develops students’ professional capabilities to address the challenges posed by innovation through interdisciplinary expertise. Accordingly, the study plan is structured around three interdependent, knowledge-based pillars: a technical-scientific area, a corporate-management area, and a financial-economic area. The technical-scientific area enables students to acquire computer science and programming-oriented skills, along with expertise in data wrangling, analysis, and modelling. The corporate-management area provides analytical skills relevant to corporate decision-making. The financial-economic area develops specialised expertise in the analysis of sectors targeted by this degree programme.
The AIBF Graduate Degree offers two profiles from which students may choose, depending on their prior academic background. Students with a more economically oriented background may opt for the Financial Data Analysis profile, which places greater emphasis on economics and quantitative finance. Students with a solid quantitative background in statistical analysis and programming may choose the Data Science profile, which focuses more extensively on computer science and machine learning applications.
Graduates in Artificial Intelligence for Banking and Finance will be prepared to support organisational functions that inform a company’s strategic decision-making, work within banking institutions and financial intermediaries, and apply data science tools to decision-support processes. In addition, graduates will acquire the ability to implement financial investment algorithms, perform risk management analyses, interpret large data sets, and design systems to forecast economic and financial variables that underpin the decision-making processes of key actors in intermediary finance and securities markets.
The AIBF Graduate Degree is jointly organised by two faculties: the School of Banking, Finance and Insurance, and the Faculty of Mathematical, Physical and Natural Sciences.
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