Quantitative Economics is a specialization of the Econometrics and Operations Research master's programme. This in-depth study into cross-roads of applied econometrics and economics offers you the challenge to explore the active research fields of microeconomics, macroeconomics and/or macro-finance.
Econometrics connects to many academic disciplines including mathematics, statistics, economics, finance, and business studies, and is primarily concerned with the science and art of using economic theory and statistical techniques to analyse economic data. This programme offers you the chance to explore the classical and general intersection of economics and econometrics
Keywords: Algebra, Calculus, Regression methods, Multivariate panel data, Dynamic models, Macro-economics, Micro-econometrics, Time Series, Forecasting.
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 programme Econometrics and Operations Research, with specializations 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.
- Calculus Early Transcendentals, James Stewart, Cengage Learning, International Metric Edition - 7th Edition, 2011.
- Linear Algebra and its Applications, David C. Lay, Steven R. Lay and Judi J. McDonald, Pearson Education, 5th Edition, 2016.
- A First Course in Probability, Seldon M. Ross, Pearson Education, 9th Edition, 2013.
- Fundamentals of Probability, with stochastic processes, Saeed Ghahramani, CRC Press, Taylor and Francis Group, 3rd Edition, 2016.
- Statistical Inference, George Casella and Roger L. Berger, Cengage Learning, 2008.
- Introduction to Econometrics, James H. Stock and Mark W. Watson, Pearson Education, 3rd Edition, 2014.
- Introductory Econometrics: A Modern Approach, Jeffrey M. Wooldridge, Cengage Learning, 2013.
- A Guide To Modern Econometrics, Marco Verbeek, Wiley, 5th Edition, 2017.
Basic skills in Computer Programming in Python, R, Matlab, Ox or Java.
In most cases, approval is given to students who have completed:
- a Bachelor's programme in Econometrics and Operations Research at a Dutch university
- the VU SBE Minor programme Applied Econometrics: A Big Data Experience for All, 30 EC (5 x 6 EC courses) with a GPA of at least 7.5 — PLUS two VU SBE Bachelor third year courses in Econometrics
- the VU SBE deficiency programme Econometrics
To enroll in the programme submit your enrolment application via Studielink.
Please note: in Studielink you can apply for the Master in Econometrics and Operations Research and in VUnet you can select the specialization Econometrics.
Apply for the programme MSc Econometrics and Operations Research via Studielink. You can register for the specialization Econometrics in VUnet (see step 2)
After application in studielink you will receive a VUnet-ID and password. Please complete your application in VUnet by answering additional questions, affirming your choice for the specialization Econometrics and uploading the following document:
- a formal transcript of your bachelor grades. Your transcript must include an average score (GPA).
Please note: we can only process your application when your choice of specialization is clear and you uploaded your transcript.
The admission committee will assess if you meet the admission criteria and will inform you about the decision via email.
Three core 6 EC courses (compulsory):
• Advanced Econometrics
• Multivairate Econometrics
• Time Series Models
Three specialization courses (compulsory):
• Advanced Microeconomics
• Advanced Macroeconomics
• Research Project Economics
One elective 6 EC course:
• Geographic Information Systems
• Economics of Climate Change
• Financial Markets and Institutions
• Transport Economics
• Big Data Analytics
• Globalization, Growth and Development
• Human Development
• Industrial Organization and Competition Policy
• Labour Economics
Thesis (18 EC): an in-depth study on a challenging topic in econometrics with emphasis on theory, methodology or computing.
Computer Programming Bootcamp
PhD student, Junior Economist, Data analyst, Economic analyst, Investment analyst, Consultant Data Analytics, Predictive Modeler, Modeling analyst, Financial Risk analyst, Capital Market analyst, Statistical researcher, Quantitative analyst, Senior Economist, Quantitative researcher, Quantitative methods instructor, Data scientist, Capital Management consultant, Statistician, Statistical officer, Policy analyst, Macro Structure analyst, and many more.
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