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Statistics is an important science and an essential tool in social planning as well as in almost all empirical sciences; examples include research in pharmacology, biology, economy, and psychology. Statistics is also used in industry when developing new products, production planning, and controlling quality of produced items. The master’s programme in statistics gives a general and firm foundation of statistical theory and statistical methods. Originating from this theory and based on the students’ interests, it is possible for the student to specialise in analyzing problems in some particular area of applications. The aims of the program are to provide both greater breadth and greater depth in the statistical discipline. After completion of the programme the student is expected either to work with qualified statistical analysis in the private or the public sector or to continue with graduate studies in statistics.Mandatory courses in the programme are Mathematics, Probability theory, Statistical inference, Statistical computations, and Statistical methods. A number of optional courses and a degree project complete the specialisation. Examples of optional courses include courses in biostatistics, experimental planning, survey sampling, and methods for regression analysis.