In the Data Analytics track your focus is on analysis of the large amounts of data that organisations collect through the internet and social media. This track is 1 of 4 tracks you can opt for in our Master's in Econometrics.
In the Data Analytics track, you learn how to interpret large amounts of (un)structured data and make predictions that help business and government shape their strategies and economic policies. You will unravel and interpret relations among the petabytes of complex data, generated every day by social media and the internet in general.
Hi, I'm Liza! I'm a Master’s student in Econometrics from Russia. Got questions about the MSc Econometrics or the Data Analytics track? Get in touch via our chat tool.Ask Liza your questions
Apart from the 4 general courses of the full programme, you will follow 5 track-specific courses and electives.
In this course you will learn to understand machine learning theory and apply your newly gained knowledge on large real-life datasets in computer lab sessions. You will be using software in Python.
Choose 1 out of 2 electives:
Choose 1 elective in data science (5EC):
In this course you will discuss about 8 recent empirical papers that apply microeconometric estimation techniques. These papers usually concern issues like individual choice behaviour in the labour and consumer markets. You will apply the techniques during the computer lab sessions with MatLab or R.
In this course you learn about quantitative models for automated online marketing with large amounts of data. The topics we cover are today’s hot topics in automated online marketing. We discuss how techniques from statistics, econometrics, machine learning and OR are used for these real-world topics.
|Degree programme||MSc Econometrics|
|Credits||60 ECTS, 12 months|
|Language of instruction||English|