Master in Quantitative Economics and Finance

Programme The MQEF is taught across two semesters (3 and 4). The curriculum is designed around the principal pillars of both disciplines: mathematics and statistics, econometrics, macro- and microeconomics, financial theory, general equilibrium theory, and empirical analysis. In addition, students chose from a number of optional courses on different areas of theory and policy, and write a master thesis. Internships are encouraged for people joining the industry. Curriculum Programme in detail (PDF) Academic contents Semestre 3 Semestre 3 Semestre 4 Course offer for Semestre 3 (2026-2027 Winter) Mathematics and Statistics for Economics and Finance (Maths Camp) ECTS credits: 6 Course code: QTECOFIN-1 Course title: Mathematics and Statistics for Economics and Finance (Maths Camp) Number of ECTS: 6 Course code: QTECOFIN-1 Module(s): Module 1 Language: EN Mandatory: Yes Understand basic mathematics such as Linear Algebra, and elements of multivariable calculus; Understand and apply techniques of convex static optimization, dynamic-programming techniques in both discrete and continuous time, and solve systems of difference and differential equations; Understand Brownian-motion analysis, stochastic difference equations, barriers and smooth pasting for valuation; Understand random variables, properties of conditional distributions and conditional expectations and how they can be used in probability calculations, multivariate Gaussian random vectors and their properties, basic asymptotic theory including the law of large numbers and the central limit theorem, and the methods of statistical inference, i.e., hypothesis testing and confidence intervals, based on large sample approximations. Mathematical and statistical methods are central to economics and finance. Economic analysis relies on modelling, which builds upon optimization theory. A thorough analysis of convex optimization in both static and dynamic models is a prerequisite for building and understanding economic mode