Modern society is highly data-driven. Everything is monitored and measured, yet there are major challenges to finding optimal ways to design research, analyse data, and extract the most valuable information.
This selective Master’s programme combines the research expertise of the following departments at Utrecht University (UU) and the University of Twente (UT):
This programme therefore also has two main study locations you can choose from, that is, either Utrecht University or the University of Twente. The collaboration between these departments provides you with an exceptionally broad range of internship opportunities and thesis topics focused on the following fields: Behavioural Sciences | Biomedical Sciences | Social Sciences
The programme is recognised as a high quality programme and has been awarded high ratings in the past years by established rankings in the Netherlands.
Through the programme’s cutting-edge research in methodology and statistics, you will acquire the knowledge and skills needed to carry out fundamental and applied research at the level of a PhD project. This two-year Master’s programme provides you with answers to questions such as:
You will also develop your ability to consult with applied researchers on a wide range of methodological and statistical issues. During your studies, you will select a specialisation in the behavioural, biomedical, or social sciences, which you will explore in depth through electives and (the preparation for) your Master’s thesis.
Every year, students are invited to participate in the organisation of conferences, through which they have the opportunity to interact with scientists from around the world. In addition, there are opportunities to take electives abroad.
The Methodology and Statistics programme prepares you for a scientific career in academia, research institutes, government organisations, NGOs, or private enterprises. Utrecht University, University Medical Centre Utrecht, and the University of Twente maintain strong partnerships with various non-academic institutions. The majority of our graduates obtain positions as PhD students either in one of the three departments that coordinate this Master’s programme or in other related departments in the Netherlands or abroad.
Through this Master’s programme, you will develop the skills and knowledge to function as a qualified practitioner who is ready for PhD training or a research career outside academia. You'll learn how to:
You will be fully equipped with the academic skills and knowledge necessary for your future career.
The two-year master’s programme Statistical Science for the Life and Behavioural Sciences provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis and data science.
The two-year master’s programme in Statistical Science provides you with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme consists of a core programme shared by all students, and specialisation specific courses, electives, an internship or research project and master’s thesis. You can specialise in either life and behavioural sciences, where the emphasis is on the application in multidisciplinary environments, or in data sciences where you focus more on data mining, pattern recognition and deep learning.
Read more about the Statistical Science for the Life and Behavioural Sciences programme.
Find more reasons to choose Statistical Science for the Life and Behavioural Sciencese at Leiden University.
The field of statistics, like other areas of applied mathematics, often attracts students who are interested in the analysis of patterns in data: developing, understanding, abstracting, and packaging analytical methods for general use in other subject areas. Statistics is also, by definition, an information science. Imaginative use of both computing power and new computing environments drives much current research - so an interest in computation and/or computer science can also be a start for a statistician. With the growing importance of data within our society, you’ll be highly in demand with a degree in Statistical Sciences.
Read more about the entry requirements for the Statistical Science programme.