General course of studies

The current module manual can be found here.

Regardless of the chosen orientation, the Master program is based on the following Statistics-modules and module groups:

1. Basics

  • Survey Sampling
  • Elements of statistics and econometrics

2. Statistical Programming and Computer-intensive Methods

  • Statistical Programming and Computer-intensive Methods
  • Monte-Carlo simulation methods

2. Survey Statistics

  • Weighting and calibration
  • Variance Estimation
  • Introduction to Bayes statistics
  • Statistical analysis of incomplete data
  • Panel Surveys
  • Indicators of Economics and Social Statistics
  • Statistical Disclosure Control
  • Small Area Estimation
  • Survey Econometrics
  • Modern Methods in Survey Statistics
  • Methods of Survey Statistics
  • Survey Methodology 
  • Optimization in Survey Statistics
  • Use of Non-sampling Data
  • EMOS Core

3. Statistics

  • Multivariate Statistics
  • Statistical Modeling
  • Experimental Design
  • Optimization Methods in Statistics
  • Statistical Literacy

4. Application

  • Application
  • Official Statistics
  • EMOS

5. Research Project

6. Master's thesis

These modules provide knowledge in statistical methods (in particular by belonging to inferential statistics). Further methodological and thematic priorities may be chosen within the modules. For example methods of econometrics, Monte-Carlo techniques and computer-intensive methods are discussed as well as special survey sampling methods. The method-oriented lectures provide the basis for a thorough understanding of applications in econometrics etc. Furthermore, they are the basis for the students' first own research activities within the research module.

Detailed information on the content, the regulation on examinations and the importance of individual modules can be found in the module manual.

The following diagramm shows the organisation of the M.Sc. Survey Statistics.