Students

Minor Applied Econometrics: A Big Data Experience for All

2018-2019

The Minor “Applied Econometrics: A Big Data Experience for All” is an excellent opportunity for all students who are enthusiastic and curious about econometrics and data science. Two tracks are offered: A basic track and a technical track. Within both tracks, particular attention will be given to issues related to data science, big data and machine learning in the context of different disciplines including economics, finance and marketing. 

Info

Language English
Credits 30 EC
Start date 01-09-2018
Faculty
Minor Applied Econometrics: A Big Data Experience for All
Description
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.
Bachelor Econometrics students take the course "Bayesian Econometrics",
as a substitute for the course "Introduction to Econometrics", in the
first period. In this way we make this Minor also of interest to
Econometrics students.

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 Bayesian Econometrics (for econometrics students), or
Introduction to Econometrics (for non-econometrics 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 coordinator of the
internships within the minor in advance.

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,
etcetera.
Course Name Period Credits Code
Bayesian Econometrics P1 6EC E_EOR3_BE
Introduction to Econometrics P1 6EC E_EOR3_IE
Introduction to Time Series P1 6EC E_EOR3_ITS
Empirical Economics P2 6EC E_EOR3_EEC
Empirical Finance P2 6EC E_EOR3_EFIN
Empirical Marketing P2 6EC E_EOR3_EMKT
Internship Minor Applied Econometrics: A Big Data Experience for All P2+3 12EC E_EOR3_IMAE
Case Study: A Modelling Competition P3 6EC E_EOR3_CSMC