The Master in Computational Finance (MCF) program from the School of Computing (RAF) creates a new type of financial experts. They combine strong problem-solving skills with advanced knowledge of finance.

Computational Finance in Quantitative methods has deeply transformed the world of finance and insurance. Nowadays, new computational tools and artificial intelligence techniques are bringing revolutionary changes in these sectors. This Master’s degree is a cross-disciplinary program providing solid expertise in computational and quantitative methods applied to the solution of problems in finance and insurance. Students will be able to master the techniques for analyzing, modeling, and managing financial risks, combining knowledge and competencies in economics, mathematics, statistics, and informatics.

The Master's Degree Programme in Computational Social and Political Science (CSPS) equips students with the knowledge and competences needed to provide empirically-grounded and theoretically-informed explanations of political and social phenomena applying computational and quantitative methods of analysis to quantitative and qualitative data.

The MSc in Mathematics and Computing for Finance is designed to meet the demand for specially trained mathematicians in the world’s finance and insurance markets.

The Master of Science in Computational Finance (MSCF) curriculum was developed from the joint venture between four Carnegie Mellon University colleges.

The globalization of markets and competition brings new complexity to business finance. Continual, rapid innovation in financial markets, instruments and institutions, demands a high

With the rapid advancement of computing technology, there is an increasing demand in the dynamic and challenging environment of financial services, for a variety of tech-savvy talent to deliver business solutions on a global scale.