The student is interested in mathematics and statistics/econometrics in an economic and financial context.

The student knows the basic principles of estimating a linear regression analysis in a multivariate setting.

The students is able toformulate and estimate a regression model. We note that these principles are taught in any basic econometric course.

The use of any software package using econometric tools is required. The course will use R as a software package but prior knowledge of R is not a minimum requirement for the competence.

The student is able to gain economic insights in data interpretation.

This concerns a transition curriculum. No contact sessions are provided. The student is only required to participate in the evaluation.

Students learn different techniques in the domain of time series. This course includes two parts: (i) univariate and multivariate time series analysis and (ii) time series analysis of cross-sectional data (panel data). The practical use of STATA is also essential in this course. In addition, students will also analyse and report financial related questions using the empirics. 
The content can be summarizes as follows:
*familiarizing themselves with various types of time-series patterns, time series regression, short-term forecasting and panel data analysis;
*Understanding the economic theoretical background, data characteristics, statistical assumptions and characteristics of time series and panel data models;
*first-hand experience of analysing time-series data using computer applications (software STATA);