Master's Program in Quantitative Finance in Belgium

View all Masters Programs in Quantitative Finance in Belgium 2017/2018

Quantitative Finance

A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.


Quantitative finance programs are a good way to learn about how mathematical modeling can be used to predict and analyze the behavior of complex financial systems. Topics covered might include everything from probability and statistics to the design of predictive algorithms.

Belgium, officially the Kingdom of Belgium, is a federal state in Western Europe. It is a founding member of the European Union and hosts the EU's headquarters as well as those of several other major international organisations such as NATO.

Top Master Programs in Quantitative Finance in Belgium 2017/2018

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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


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 ... [-]