Would you like to learn how quantitative analysis can support and improve decision making?
The MSc Econometrics, Operations Research and Actuarial Studies(EORAS) uses mathematical and statistical models to analyse problems in business, economics, finance, insurance, and related areas. We address questions such as: How will future employment ratios develop in Europe? How much influence will petrol prices have on car usage? What is the minimal route length to deliver large amounts of parcels? How to calculate a fair premium for a new insurance product? These questions have in common that they use mathematical modelling and data science in a decision-making process. You will learn how to construct appropriate models, to apply these models with real-life data and (statistical) software, and to design and implement computer algorithms to evaluate the decisions. Importantly, you also learn how to give proper (economic) interpretations of the outcomes of the analysis.
The MSc EORAS in Groningen has three specialized profiles: Econometrics, Operations Research and Actuarial Studies.
"The most surprising topics appeared, from thinking up a system for libraries to share their books and save money to how a family in Tanzania can best make use of their land given uncertain weather conditions."
“What I enjoyed most about the programme is its diversity. As we dove deeper into mathematical theory, the range of applications kept increasing. The most surprising topics appeared, from thinking up a system for libraries to share their books and save money to how a family in Tanzania can best make use of their land given uncertain weather conditions. The knowledge gained on econometric theory and economic policy helped me and four friends to battle it out against students from all over the world at the econometric games, also known as the world championships for econometrics.
While writing my thesis at the Netherlands Institute of Applied Scientific Research (TNO), I noticed how in our field, rather than looking for practical examples to fit the theory, extensions to theory follow almost naturally from practice. I set out to find the optimal placement for distributed generators of renewable energy. This is a difficult task as the grid should be balanced at all times, but both what consumers demand and what the generators supply is surrounded by uncertainty. I found myself reading up on physics and control theory, and ended up analyzing and trying to adapt an existing optimization algorithm in order to find more accurate solutions in less time.”