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The programme Econometrics and Mathematical Economics focuses on the mathematical and quantitative analysis of economic problems. While Econometrics makes an explicit link between statistical techniques and the economic problem formulation, Mathematical Economics structures the economic problem, using models that incorporate both competitive and cooperative aspects. Applications deal with auctions, labour market, capital investment, industrial organisation, strategic behaviour of firms, and individual decision making.
This programme enables you to scientifically apply mathematical and statistical methods to analyse and solve quantitative problems in economics and business for governments, companies, non-profit sectors or consulting firms. In addition, you will be provided with a solid basis to pursue a scientific career in economics or business.
The programme consists of 60 Credits (ECTS), equivalent to 1680 hours of study. You will take 4 or 5 core courses and 2 or 3 electives of 6 ECTS each, and write a Master’s thesis of 18 ECTS. The first semester starts in September, with exams in December and January. The second semester runs from January to June, but is divided in two. From January to March, you will take courses. From April onwards, you will be able to focus on writing your Master’s thesis.
After successful completion of the MSc programme in Econometrics and Mathematical Economics, you will be awarded an internationally recognised Master of Science degree, with many career opportunities.
To give some examples, graduates in Econometrics and Mathematical Economics find their way in:
FEB bachelors
If you have an FEB Bachelor's degree in Econometrics and Operations Research, you will have direct access to the Master's programme in Econometrics and Mathematical Economics.
University Bachelor's
In order to have access to the Master's programme in Econometrics and Mathematical Economics, candidates must have a Bachelor’s degree in Econometrics and Operations Research or in a similar programme from a university that is recognised by the Admission Board.
More precisely, a solid academic background is required in the fields of: