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Psychology: Methodology and Statistics in Psychology


The curriculum of the one-year Master’s specialisation in Methodology and Statistics focuses both on in-depth study of theory and on the acquisition of professional and research skills.Within a scientist-practitioner model, these insights are always connected to their behavioural consequences and intervention issues.


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, such as reviewing the relevant literature and applying theoretical knowledge to analyse practical problems. Master’s programme Methodology and Statistics in Psychology


The curriculum of 60 EC offers a variety of courses and a supervised master thesis. The specialisation consists of:

  • 5 mandatory courses (25 EC)

  • thesis (20 EC)

  • internship (10 EC)

  • an elective course (5 E)


On Thursday, August 31st, 2017 master’s students enrol for all courses at the Master’s introduction and course enrolment day. At this day the attendance of first year master’s students in Psychology is required if they start with a master’s programme.
Master’s course registration

First year

Vak EC Semester 1 Semester 2

Compulsory coursework

Categorical Data Analysis 5
Introduction to R and Statistical Computing 5
Latent Variable Models 5
Statistical Learning and Prediction 5
Statistical Consulting (Psychology) 5
Master Thesis in MSc. Psychology 20

Choose one of the following options as internship

Internal Practical Internship 10
Internship Psychology 10

Choose one elective

fMRI Data and Statistics 5
Multilevel and Longitudinal Data Analysis 5
Statistical Mediation and Moderation 5

Pre-master's course

Preparatory Statistics 5

More info

Additional information


Internship, thesis and mentor coordinator

Dr. Tom Wilderjans

Student representative

Find your student representative in the overview of programme committee members: Student representative

General coordinator

Prof dr. Mark de Rooij