Programme - Leiden University

Programme

When deciding what to study you undoubtedly read a lot of information about your study programme. Leiden University employs various systems to provide information about programmes and courses and to facilitate communication between lecturers and students.

The Prospectus contains information about all the courses within your study programme. Here you can find all you need to know about your programme. Via the online learning environment Brightspace you can communicate with your lecturers and submit assignments.

The Course and Examination Regulations (OER in Dutch) and the Rules and Regulations set by the Boards of Examiners (R&R) can be found on the page Faculty and study programme regulations.

Welcome to the Master Programme Statistics and Data Science

This two-year master’s programme provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis and data science, with a focus on applications in the life and behavioural sciences. The programme acquired the European Master of Official Statistics (EMOS) label, and is a member of the network of 32 certified European master's programmes in statistics.

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Organisation

The Master Program Statistics and Data Science is jointly organized by groups at different institutes and universities:

Mathematical Institute, Leiden University
Faculty of Social and Behavioural Sciences, Leiden University
Department of Biomedical Data Sciences, Leiden University Medical Center
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.

Mission

The Master Program Statistics and Data Sciences 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.

Students will gain a thorough understanding of statistics and data science methods, their implementation and their interpretation, and develop the ability to invent and apply new models and techniques when needed. Graduates will thus qualify for jobs in a wide range of areas, such as medical centers, industry (pharmaceutical, agricultural, food, life science in general, etc.), research institutes, government statistics bureaus, educational services (CITO), consulting services, marketing bureaus etc. In view of the emphasis on statistics and data science as a science, rather than as merely a collection of techniques, many graduates will qualify for PhD programs as well.

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