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Psychology (research)

The master’s programme in Psychology (research) is a two-year programme that is focused on acquiring research skills in a particular field of psychology. Students choose one out of four tracks within the research master’s programme. All students, irrespective of their track, receive advanced training in methodology specific for psychological research and in scientific writing and presentation. Students may choose relevant courses offered within the Institute of Psychology as electives. If this concerns a compulsory course offered in another research master track or master specialisation, students should always contact the course coordinator in a timely manner to request participation. Students who wish to gain more specialised knowledge of cognitive and brain sciences may choose from a wide range of elective courses offered in other master’s programmes at Leiden University (See profile Brain and Cognition).

This master’s programme offers the following tracks:

See also MSc in Psychology

More Information

Master’s course registration

On Thursday 30 August 2018 all master students enrol for all courses of the first semester 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

Profile Brain and Cognition

Electives on offer for students with profile Brain and Cognition

From Master programme Education and Child Studies
1. Learning, Cognition and the Brain
2. Attachment and Developmental Psychopathology: theory, research, and clinical applications
3. Neuroscience (clinical assessment and treatment)
4. Child Abuse and Neglect: neurobiological aspects and intervention
5. Developmental Clinical Neuroscience

From Master programme Linguistics
6. Cognitive Neuroscience of Language

From Master programme Biomedical Sciences
7. Clinical Pharmacology
8. Imaging in Neurosciences
9. Translational Neurogenetics

From Master programme Computer Science
10. Evolutionary Algorithms
11. Neural Networks
12. Bio-modeling and Petri Nets
13. Bayesian Networks