We welcome motivated and ambitious students who are interested in advancing their knowledge in Econometrics and related subjects, and are aware of their role in society. In order to be successful in this programme you will need a solid basis in mathematics, statistics and econometrics. In particular we expect that you have passed courses in mathematics (calculus, analysis), probability, mathematical statistics, and econometrics. A basic knowledge in computer programming is also required.
The track Econometrics of the Master's programme Econometrics and Operations Research, with specializations Climate Econometrics, Econometric Theory, Financial Econometrics, Empirical Marketing, and Quantitative Economics, is open to students with a university Bachelor's degree that provides a thorough knowledge in mathematics (analysis, calculus), probability, (mathematical) statistics, econometrics and computer programming. You need to have successfully completed courses and studied literature related to the core of this programme, which is based on the following books.
Mathematics - Calculus Early Transcendentals, James Stewart, Cengage Learning, International Metric Edition - 7th Edition, 2011
and Linear Algebra and its Applications, David C. Lay, Steven R. Lay and Judi J. McDonald, Pearson Education, 5th Edition, 2016.
Probability - A First Course in Probability, Seldon M. Ross, Pearson Education, 9th Edition, 2013
and Fundamentals of Probability, with stochastic processes, Saeed Ghahramani, CRC Press, Taylor and Francis Group, 3rd Edition, 2016.
Mathematical Statistics - Statistical Inference, George Casella and Roger L. Berger, Cengage Learning, 2008.
Introductory Econometrics - Introduction to Econometrics, James H. Stock and Mark W. Watson, Pearson Education, 3rd Edition, 2014
and Introductory Econometrics: A Modern Approach, Jeffrey M. Wooldridge, Cengage Learning, 2013.
Intermediate Econometrics - A Guide To Modern Econometrics, Marco Verbeek, Wiley, 5th Edition, 2017
and Basic skills in Computer Programming in Python, R, Matlab, Ox or Java.
If you can show certified exam results for courses that are related to the subjects and are of a comparable level (each course with a workload of 6 EC or close to it), this is satisfactory. The equivalence will be evaluated by the Examination Board and its approval determines the admission.
English language requirements
The admission board wants to stress the intensity of the programme: reading scientific articles and writing papers will be a key part, all in a very high pace. Your English language skills, both oral and written, are extremely important in this programme. As you will have to communicate frequently with your fellow students and you will be working with and for international companies.
If you are applying for one of our English-taught Master's degree programmes you will have to demonstrate sufficient English language proficiency by submitting English test results.
Although complete applications are preferred, you can begin your application before you have completed the test and then submit your passing score once you have been conditionally admitted.
You can find which test types and scores are accepted, the deadlines for submitting test results and all other relevant information on our application page. under the Language Proficiency Requirements tab.