Computational finance
Class: LM-16 - Finance
Call for Applications (international students) - A.Y. 2024/25
- 1st Call: 2 November 2023 – 2 February 2024 - APPLICATION PLATFORM
- 2nd Call: 2 March – 2 May 2024
- 3rd Call (ONLY EU and equated students): 2 June – 2 August 2024
Through a highly transdisciplinary study path, this course prepares students with advanced quantitative and computational proficiencies combined with a solid knowledge of the financial and insurance markets. Delivered in English, the innovative and in-depth course combines economic, information technology, mathematical and statistical skills needed to fill qualified roles in companies and institutions of financial, insurance and energy fields.
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Characteristics and objectives
Quantitative methods have 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 programme providing a 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 analysing, modelling and managing financial risks, combining knowledge and competencies in economics, mathematics, statistics and informatics.
Occupational opportunities
Graduates in Computational Finance have a good command of computational and quantitative techniques, aligned with the latest trends of the financial and insurance sectors. Graduates can pursue a wide range of careers in banking, insurance, asset management, energy and consulting firms.
