Master of Science [M.S] [Psychology: Methodology and Statistics in Psychology] From Leiden University

Theory and practice

The distinctive feature of the programme at Leiden is that the teaching is not restricted only to the theory of research. Within a scientist-practitioner model, these insights are always connected to their behavioural consequences and intervention issues. In this way, not only do you develop your knowledge of psychology and methodology as a science, you also learn to apply this knowledge in order to understand practical problems, and to develop effective interventions for dealing with them.

Research skills

In line with the profile of Leiden University as a research-intensive institution, the teaching programme is based on state-of-the art scientific research. It maintains a strong emphasis on the acquisition of academic and research skills. Completion of the MSc degree prepares you for subsequent academic degrees, including a PhD.

Practical skills

Computer usage plays an important role in most of your courses. Many courses consist of a mix of the theory and practice of computer skills in a laboratory setting. During the year, you are trained in consultancy, since it is very likely that you will require this knowledge in your future career. Furthermore, you are required to write a thesis in which an empirical data set is analysed using several methods. The results of these methods are compared with each other.

Aim of the programme

The objective of the programme is to equip you with advanced training in research methods and professional skills. This will prepare you both for a career involving psychological research as well as for the application of scientific knowledge and methods in various professional settings. Training is provided in all relevant skills:

• Reviewing the relevant literature
• Applying theoretical knowledge to analyse practical problems
• Developing hypotheses and writing research proposals
• Designing and carrying out empirical studies
• Designing and evaluating the effectiveness of interventions
• Conducting advanced statistical analyses
• Presenting results and recommendations
• Consultancy