Minor Applied Econometrics: A Big Data Experience for All

Here you will find all descriptions of courses in the minor. Please go to www.minor.vu.nl/en/ for more information about the contents of the minor programme.

An in-depth introduction to Econometrics. The Minor Applied Econometrics
provides a thorough introduction to econometric methods and techniques
with an emphasis on how to implement and carry out the methods in
empirical studies and how to interpret the results. The key steps of
model formulation, parameter estimation, diagnostic checking, hypothesis
testing, model selection and empirical analysis are given extensive
attention throughout the different courses. Apart from the fundamentals
of econometrics, much emphasis is given to how econometric methods are
carried out in different empirical settings and studies. Particular
attention will be given to issues related to "big data" in the context
of different disciplines in economics and business.

All students with a liking of mathematics, statistics and/or computing
are welcome. We aim to attract a heterogeneous group of Bachelor
students from VU and outside with good knowledge of mathematics and
statistics courses (ideally with grades greater than or equal to 7, but
we do not set requirements), and for those who want to distinct
themselves. Bachelor Econometrics students are especially welcome. For
Bachelor Econometrics students, there is the highly recommendable option
in the first period to take the course "Computational Econometrics", as
a substitute for the course "Introduction to Econometrics". In this way
we make this Minor also of interest to Econometrics students.
Furthermore, students can opt for research internships within the
Department: to get an experience in working within a research
environment and to get a first training in teaching mathematics,
statistics and econometrics.

This minor consists of compulsory and elective courses.
- The compulsory courses are Case Study: A Modelling Competition,
Introduction to Time Series and, depending on the programme you follow,
either Computational Econometrics (for econometric students), or
Introduction to Econometrics (for non-econometric students).
- In addition you may choose 2 out of 3 elective courses.
- On top of the programme, described above, you may opt for an
internship of 12 EC. In that case, the internship replaces the
obligatory course Case Study: A Modelling Competition as well as one of
the elective courses (so you choose 1 in stead of 2 elective courses).
Note that the internship has to be approved by the minor coordinator in

Students in this Minor will reach for the entrance requirements for
Master (honour) programmes such as Quantitative Economics, Quantitative
Risk Management, Financial Econometrics, but also other Masters such as
Quantitative Marketing, Econometric Theory, Applied Econometrics,
Course name Period Credits Code Pdf
Computational Econometrics Period 1 6.0 E_EOR3_CE
Introduction to Econometrics Period 1 6.0 E_EOR3_IE
Introduction to Time Series Period 1 6.0 E_EOR3_ITS
Empirical Economics Period 2 6.0 E_EOR3_EEC
Empirical Finance Period 2 6.0 E_EOR3_EFIN
Empirical Marketing Period 2 6.0 E_EOR3_EMKT
Internship Minor Applied Econometrics: A Big Data Experience for All Period 2+3 12.0 E_EOR3_IMAE
Case Study: A Modelling Competition Period 3 6.0 E_EOR3_CSMC
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