| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| MSc | Full-time | 2 years | October | - | EUR 2739 per year |
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.
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.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.
Programme structure
1st Year
Fundamentals of Computational Mathematics; Fundamentals of Information Systems; Principles of Financial Economics; Regression and Time Series Models; Stochastic Methods; Machine Learning for Finance; Econometrics for Credit and Market Risk; Financial Reporting and Risk Management.
2nd Year
Stochastic Finance; Risk and Insurance; Quantitative Risk Management; Law and Data; 2 elective courses; master thesis project.
Career 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
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Our tuition fees will not exceed 3000 euros per year. Scholarship and fee waivers are available for international students, for more information visit our website.
Bachelor diploma (or equivalent)
English language
B2 level (CEFR) or equivalent
Please check out this link for the full list of accepted certificates, minimum scores and exemptions
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