|Course||EC||Semester 1||Semester 2|
|Categorical Data Analysis||5|
|Introduction to R and Statistical Computing||5|
|Applied Multivariate Analysis||5|
|Item Response Theory||5|
|Master Thesis in MSc. Psychology||20|
Choose one course of 5 EC.
|Structural Equation Models||5|
|fMRI Data and Statistics||5|
Elective courses offered for other MSc students
|Applied Data Analysis||5|
For the timetables please consult the course descriptions.
- Regulations: Enrolling, Course and Examination, Master’s diploma and graduation
- Entry requirements Master specialisations (pdf)
- Post-master vocational training in health care (in Dutch)
- Archive e-Prospectus
This is a specialization for the master’s programme of Psychology.
The aim of this master programme is to provide students with in-depth knowledge and professional skills relating to research methodology, data analysis and statistics. Students will be educated to attain a high level of competence appropriate to participate in fundamental research, as well as in a broad range of empirical research settings. Additionally, students will be trained in statistical and methodological consultancy.
The master specialisation Methodology and Statistics offers good prospects to apply for research assistantships or for doing PhD studies. Furthermore, it creates great opportunities to start a career as researcher or consultant in a variety of (applied) research environments, including academic, governmental and commercial contexts. Master’s Programmes – Methodology and Statistics.
The master programme consists of:
- mandatory courses (25EC)
- thesis (20EC)
- internship (10EC)
- one elective course (5EC)
Choose one course of 5 EC from the elective courses.
For more detailed information about the specialisation Methodology and Statistics please contact:
Prof. Dr. A. Mooijaart
Tel.: +31 (0)71 527 3770
Purchasing study material
The books are available at a discount via the bookshop of the study association Labyrint on presentation of your Labyrint membership pass. Otherwise they can be bought from academic booksellers.