Statistical Science for the Life and Behavioural Sciences

Dauer:
2 Jahre
Sprache:
Englisch
Zulassung:

Please check the admission website for more information.

Studiengebühren:
2083.00 € / Jahr
Hinweis

Application deadline: EU/EEA students: 15 June (September intake)

Worum geht's im Studium

Information about Statistical Science for the Life and Behavioural Sciences

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.

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 will be highly in demand with a degree in Statistical Sciences.

Curriculum and Overview

The master's specialisations consist of courses, specialisation courses, electives, internship or research project and a master's thesis.

Data Science for Statistical Science: This specialisation equips students with a broad basis in statistics combined with state-of-the-art knowledge in Data Science through collaboration between the Mathematical Institute and the Leiden Institute of Advanced Computer Science.

Statistical Science: This specialisation equips students with a broad basis in statistics, discussing state-of-the-art statistical techniques and their application in fields such as bioinformatics, psychometrics, epidemiology and genetics.

Modules and Courses during your studies

For detailed information on the courses and curricula, see the e-Prospectus.

Job and Career prospects

The master’s degree is an excellent stepping stone for pursuing a PhD degree. Job possibilities outside research include high-tech industry, software and consultancy companies worldwide, or a career as a teacher, science communicator or science policy maker.

Registration process for Statistical Science for the Life and Behavioural Sciences

Do you want to apply for this programme at Leiden University? Find out how to apply by following the step-by step guide.

About Leiden University

Are you curious, critical and involved in the world around you? At Leiden University, the oldest university in the Netherlands, you can make a valuable contribution to tackling the various national and international challenges facing modern society. Together with academics and fellow students from all over the world, you will actively address these challenges. We keep an open mind, do not shy away from difficult discussions and allow one another the space to disagree. We expect the same active, open-minded and critical attitude from you.

We challenge you to look beyond your own boundaries. Leiden University welcomes anyone who wants to achieve their full potential. Our modest community size in the historical cities of Leiden and The Hague creates a highly personal and committed atmosphere. Together, we map out a learning path that suits you and your ambitions. You will also be encouraged to conduct research in cooperation with eminent and enthusiastic scholars. The knowledge and skills you develop here will benefit you for the rest of your life, regardless of the career path you choose!

Contact

Leiden University
Study Line
phone.: +31 (071)5271111
e-mail: study@leidenuniv.nl
website: www.universiteitleiden.nl/en

 
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