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.
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.
The minor consists of two tracks: a regular and a technical track. The
regular track contains five mandatory courses. The technical track
consists of obligatory and elective courses. Also, an internship is
possible (in both tracks); in that case one of the courses in period 2
plus the period 3 course can be dropped).
Also, an internship of 12 EC is possible. In that case you may drop
either Empirical Economics or Empirical Finance in period 2 plus the
course Practical Case Study in period 3.
period 2 there are two choice couses, Empirical Economics and Empirical
Finance, of which you have to choose one.
You may also do an internship of 12 EC. In that case the choice courses
in periode 2 plus the course in period 3 are no part of your curriculum.