Econometrics and Operations Research

The Master's programme in Econometrics and Operations Research is an academic programme that consists of two tracks: Econometrics and Operations Research. Directly from the start of the master you choose one of these tracks. Each track contains several specializations, as well as an “open specialization”, with a more broader focus on either econometrics or operations research.

The track Econometrics focuses on developments in theory, methodology and application of econometric and statistical methods for the analysis of financial, marketing and economic data, nowadays often Big Data. Econometrics connects to many academic disciplines including mathematics, statistics, computer science, economics, finance, and business studies, and is primarily concerned with the science and art of using statistics, data science and econometric methods for the analysis of economic/finance/marketing data.  Specializations within the Econometrics trace are Climate Econometrics, Econometric Theory, Econometrics and Data Science, Financial Econometrics, Marketing Data Science, and Quantitative Economics.

The track Operations Research focuses on the developments in theory, methodology, and application of mathematics for understanding and optimizing in economics, business, and engineering. Operations Research connects to many academic disciplines including mathematics, computer science, finance, business studies, and machine learning. Operations Research finds its applications in, for example, network analysis and optimization, logistics, advanced decision support systems, data analysis, and learning and optimization algorithms. Specializations within the Operations Research track are Financial Engineering, Operations Research Theory, and Quantitative Logistics.

For talented and ambitious students, we offer the Master students the extra opportunity of several Honours Programmes in which you can broaden and deepen your knowledge on state-of-the-art methods.