The Master's programme in Econometrics provides you with a balanced and rigorous training in quantitative techniques for microeconometric and macroeconometric analysis.
The varied and flexible structure of the Master's programme in Econometrics means you can focus on the specific topics that interest you most. The programme provides you with the skills, expertise and techniques required to apply robust statistical methods to explore the topics, research and issues associated with this discipline. Besides the Econometrics track, the programme offers four more tracks from which you can choose one to specialise in: * Big Data Business Analytics: study correlations between data flows for predictive purposes and apply game theory to social media and the internet. * Financial Econometrics: focuses on the application of mathematical and statistical techniques to financial models and time series. * Mathematical Economics: emphasises mathematical modelling of economic and financial markets. * Free track: a flexible combination of the four specialisations. Combining this programme with a Mathematical MSc for a double degree is also possible. By the end of the Master's programme, you will be able to apply advanced mathematical and statistical methods using modern software packages for the exploration and analysis of problems in economics and finance.
Deadline applies if you do not have the same nationality as the university.)
Deadline applies if your country of nationality is in the EEA (European Economic Area))
Tuition fee for the international students.)
European Economic Area tuition fee is applicable to the students from EU countries, Iceland, Liechtenstein, Norway and Switzerland.)
Students can choose one of the specialisations/tracks:
Econometrics: emphasises on statistical techniques for both microeconomic and macroeconometric analysis. Electives: Financial Econometrics, Microeconometrics.
Financial Econometrics: focuses on mathematical and statistical techniques and their application to financial models and time series. Electives: Financial Econometrics, Stochastic Calculus, Caput Derivatives
Mathematical Economics: emphasises mathematical modelling of economic and financial markets. Electives: Nonlinear Economic Dynamics, Bounded Rationality
Free track: a flexible combination of these three specialisations. Electives: Bounded Rationality, Financial Econometrics, Micro-econometrics, Non-linear Economic Dynamics, Stochastic Calculus
The Master in Econometrics is a one-year programme of 60 ECTS credits (1 ECTS credit = 0,5 US credit). The course schedule is listed below. The academic year runs from September to the beginning of July and is divided into two semesters, each with three blocks. Please refer to the academic calendar for the exact dates.
The MSc in Econometrics programme has a demanding curriculum. Classes usually take up a total of 12-15 hours each week. Class preparation (i.e. reading), homework, debates, casework and computer work require an additional 25 hours a week.
First Semester In the first block students will get a solid basis in econometrics by attending the core courses Advanced Econometrics 1+2, Game Theory and General Equilibrium Theory, and two electives.
Second Semester In the first part of the second semester students specialise in one of the tracks. In the second part students complete a thesis in one of the specialised areas, working under the supervision of a research staff member from the Department of Quantitative Economics.
The Master's thesis is the final requirement to be completed prior to graduation and is supervised by one of the researchers within the Department of Quantitative Economics. It must be based on a study of relevant literature or on a research internship at a firm.
Upon successful completion of the programme, students receive a Master's degree in Econometrics and the title Master of Science (MSc).
Master's students can also choose to do an internship in order to conduct research for their final thesis. This offers the opportunity to conduct research in a company or organisation on an academic level. Interested students should contact the Internship Office.
Grade list: A certified grade list(s) is considered in the evaluation.
Previous education: Applicants are expected to hold a Bachelor's or Master's degree in Econometrics, or to have taken econometrics as a major subject. Please note that a Bachelor's degree from a university of applied sciences or a Fachhochschule (Germany) are not taken into consideration. Specific entry requirements apply to Chinese students and African students. For more information about entry requirements please see www.uva.nl/msc-econometrics (Econometrics / Application and admission / Entry requirements).
Entry test: A GRE is compulsory for all applicants to the Master's programme in Econometrics. In the following cases we also accept a GMAT test: * if you have already obtained a GMAT score * if in your country it is difficult to take the GRE test on a short notice (e.g. China, Taiwan) Students that come from one of our partner universities are exempted from taking the GRE test.
Written request: Applicants should submit a motivation letter with their application form.
Additional language requirements:
No work experience is required.
Accredited by: NVAO in: Netherlands
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