Master Program in Quantitative Finance in Belgium

Search Masters Programs in Quantitative Finance in Belgium 2017

Quantitative Finance

The benefits of a Masters extend beyond improving your earning potential. They can provide you with personal and professional skills to accelerate your development. They are also an opportunity to differentiate yourself from your peers, many of whom will have similar A-level and undergraduate qualifications.

A Master degree in Quantitative Finance seeks to teach how to solve problems in financial economics by using mathematical methods. Areas and methods such as statistics, probability or numerical analysis are used in a variety of areas, examples of these are insurance and risk management or profit maximisation.

Belgium offers a market oriented higher-level education that is based on skills and innovation. The country's higher education institutions offer an interactive at the same time research oriented university education before joining the job market.

Top Master Programs in Quantitative Finance in Belgium 2017

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Advanced Master in Quantitative Finance

Solvay Brussels School of Economics and Management, Université Libre de Bruxelles
Campus Full time 1 - 1 year September 2017 Belgium Brussels

A highly challenging one-year programme designed to prepare you for a successful career as a financial professional. [+]

This Advanced Master in Quantitative Finance offers its prospective students an advanced education. Its curriculum consists of a combination of finance, statistics, econometrics, programming and mathematics. This master offers full coverage of financial disciplines such as asset and derivative pricing numerical methods and programming skills. It is oriented to an audience with a quantitative background either by recent education orby professional experience. Join the online information sessions on Solvay Advanced Masters next March 21-22-23, 2017! Register at http://coms.solvay.edu/am-online-infosession

10 PARADIGMS

September 2008 was a turning point in the financial sector, driving it towards new horizons. A shift of paradigm and the emergence of new markets is leading to a radical change in the rules of the game. Complexity is reaching unprecedented levels. And competitiveness is increasing. In this context, financial decision making needs quantitative innovation. Classical modelling techniques are not top performers any longer. New quantitative techniques are needed. Models based on statistics and financial reality. Cutting edge models and methodologies. And last, the financial sector needs ... [-]