Methodology & Statistics offers bachelor's courses and a master's specialisation.

The master's specialisation Methodology and Statistics in Psychology includes courses, a thesis and an internship. Teaching takes place in the form of seminars and small-group lectures and practicals, and is assessed primarily by written coursework and reports of empirical projects carried out individually…

Carbohydrates, alongside proteins and nucleic acids, constitute a crucial and versatile family of biomolecules present in all life forms. They manifest as monosaccharides, oligosaccharides, and polysaccharides, covalently bonded to proteins and fats. Carbohydrates are integral to plant and arthropod…

This project suggests a reconceptualisation of pre- and non-capitalist imperial monetary policy, arguing that the existing literature about imperial financial flows has unnecessarily privileged ideas of largesse and seemingly chaotic monetary distribution.

With a Master of Statistics & Data Science you have good job perspectives: statisticians and data scientists are highly sought after in various industries such as food and pharmaceutic industry, in governmental organizations, and in healthcare. Qualification to become a PhD candidate is a definite…

The objective of this project is to fundamentally improve our understanding of the ways in which science progresses. Empirical studies have used bibliographic metadata to provide relevant insights, but these studies have failed to tell us how science progresses. Supported by computational advances and…

Phosphorylation affects all four major biomolecules – proteins, lipids, carbohydrates and nucleic acids – and plays a pivotal role in the most fundamental cellular functions.

To be eligible for Statistics & Data Science at Leiden University, you must meet the following admission requirements.

Promotor: A.W. van der Vaart

The master's specialisation Methodology and Statistics in Psychology consists of three main parts: the mandatory and elective courses, a thesis and an internship.

As of November 1st, Peter Grünwald has been appointed professor Statistical learning on a new chair hosted by both the Mathematical Institute and the Leiden Institute for Advanced Computer Science (LIACS).

Psychologist Bernadet Klaassens initiated a large fMRI study on the effect of drugs on brain networks in aging and Alzheimer's disease. It generated a unique data set and insight into a new method to develop drugs for patients with Alzheimer's.

The objective of this project is the development of a new psychometric model, called the Generalized Squared Distance Logistic Model (GSDLM). This model is an evolution of older psychometric approaches (such as PARELLA, GHCM, and GGUM) and the Gaussian Ordination Models (GOMs) used in environmental…

In a recent TEDx Flanders event “Statistical Errors in Court”, Statistical Scientist Richard Gill speaks about the case of Lucia de Berk, a nurse found guilty of several murders based largely on statistics.

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of data sets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields…

Social science research helps us understand human behaviour and social structures. These are determined by various factors, which makes the research complex and increases the likelihood of drawing the wrong conclusions. The choice of research method and analysis is therefore extremely important. It…

You may contact LUXs through any of its members or secretariats of its participating institutes. You may also reach the steering group through its chair or secretariat.

This September a new Masters Track

In meta-analysis, heterogeneity often exists between studies. In such cases, it is essential to investigate the sources of heterogeneity and understand the relationship between effect size and study characteristics (i.e., moderators).

The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.

Does the δ-machine have higher accuracy than the other feature-based classifiers in some conditions?

Are you planning to take a master’s degree programme in Psychology? And have you completed a Dutch HBO (University of Applied Sciences) or WO (academic) bachelor’s degree in a related field? Then the one-year pre-master’s programme in Psychology could be the right option for you.