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Welcome to the Master Program Statistical Science for the Life and Behavioural Sciences
The master program Statistical Science for the Life and Behavioural Sciences was initiated by a group of statisticians from different institutes at Leiden University together with applied statisticians from Wageningen University and Research Center. The program was meant to fill the educational gap in Statistics caused by the increasing demand of applied statisticians and data scientists, and the scarcity of applied statistics master programs in the Netherlands.
The program started in September 2009 as a specialization of the master Mathematics, and in 2015 the program has been accredited as a separate Master Program in the Science Faculty at Leiden University.
The master Statistical Science provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis, and focusses on application in the Life and Behavioural Sciences (LBS).
Starting in September 2016, there will also be a specialization in Data Science (DS). The latter specialization is a unique collaboration with the Computer Science department at Leiden University (LIACS).
The Master Program Statistical Science for the Life and Behavioural Sciences is jointly organized by groups at different institutes and universities:
- Mathematical Institute, Leiden University
- Faculty of Social and Behavioural Sciences, Leiden University
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Center
- Department of Mathematics, VU Amsterdam
- Biometris – Applied Statistics, Wageningen University and Research centre
Together these institutes have expertise in a wide area of statistical science and its applications, both practical and theoretical. Many of the scientific staff members are involved in other educational tasks, or are specialised in research and statistical consultation.
The Master Program Statistical Science provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis, and focusses on application in the life sciences and the behavioural sciences.
The successful student will gain a thorough understanding of statistical models, their implementation and their interpretation, and develop the ability to invent new models and techniques when needed. Graduates will thus qualify for jobs in a wide range of areas, such as academic medical hospitals, many types of industry (pharmaceutical, agricultural, food, life science in general, oil, etc.), research institutes, financial institutions, government statistics bureaus, educational services (CITO), marketing bureaus etc.
In view of the emphasis on statistics as a (mathematical) science, rather than as merely a collection of techniques, many graduates will qualify for PhD programs as well.