The basic track provides a thorough introduction to econometric methods and data science techniques with an emphasis on how to implement and carry out the methods in empirical studies and how to interpret the results. Apart from the fundamentals of econometrics, much emphasis is given to how econometrics is carried out in different practical settings and empirical studies.
The technical track provides current Bachelor Econometrics & OR students (or those from related studies) with options for advanced methodological courses, including Computational Methods, Bayesian Econometrics, an advanced Case Study and the possibility of an internship.
Basic track:
- Period 1
- Introductory Econometrics
- Introduction to Time Series
- Period 2
- Empirical Finance
- Empirical Economics
- Period 3
- Case Study: Real-life Modelling in Econometrics and Data Science (Advanced option)
Technical track:
- Period 1
- Computational Methods in Econometrics
- Introduction to Time Series
- Period 2
- Bayesian Econometrics
- Empirical Finance or Empirical Economics
- Period 3
- Case Study: Real-life Modelling in Econometrics and Data Science
An internship may replace one of the courses in period 2 and the Case Study in period 3.
Consult the study guide for more information.