Quantitative Economics is a specialization of the Econometrics and Operations Research master's program. 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 micro-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 program offers you the chance to explore the classical and general intersection of economics and econometrics
Three core 6 EC courses (compulsory):
- Advanced Econometrics
- Multivariate 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 an on theory, methodology or computing.
Typical placements include:
Ph.D. 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.
Why VU Amsterdam?
The program can be characterized as follows:
A program that will enhance your analytical skills, will invest in your quantitative insights, will introduce you to a scientific approach of analytical thinking and will generally broaden your quantitative horizons.
A program that will teach you how to analyse and model economic data, how to carry out statistical hypothesis tests, how to investigate theoretical properties of estimators and predictors, how to design an empirical study, how to interpret quantitative results, how to present the results of an econometric analysis, how to deduct conclusions and policy advice from a quantitative analysis.
A program that will learn you to be a leading person in helping others to understand and work with quantitative methods.
Admission with an International Degree
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 program, 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. Basic knowledge in computer programming is also required.
The track Econometrics of the Master's program 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 program, 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.
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 proficiency
The admission board wants to stress the intensity of the program: 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 program. As you will have to communicate frequently with your fellow students and you will be working with and for international companies.
VU Amsterdam requires all applicants to take an English test. You can already apply online without having the test results. We do advise you to plan a test date as soon as possible. Below you will find the minimum English test scores for the program:
- Minimum general score 6,5
- Minimum score speaking 6,5
- Minimum score listening 6,5
- Minimum score writing 6,0
- Minimum score reading 6,0
- Paper-based test 580
- Internet-based test 92-93
- Cambridge Proficiency Exam A, B, C
- Cambridge Advanced Exam A, B, C