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Introduction

What should your home contents insurance cost? How many people will survive a particular disease? What are the odds of winning a game of solitaire?

The two-year MSc in Statistics is open to students from universities in Denmark and abroad. The programme is flexible, allowing students to specialise while at the same time acquiring general competencies in statistics. It is also possible to become a PhD student within the area.

Teaching in the programme is greatly influenced by research, as the lecturers are active researchers. In addition to lectures, the teaching includes theoretical and practical exercises. As a student of statistics, you have the opportunity to specialise in a subject within a broad area, including one of the areas of statistics in which Aarhus University is particularly strong – theoretical and applied statistics, and probability theory. In this context students benefit from the down-to-earth, informal relationship between faculty and students, particularly when working on the thesis in year two of the programme.

Admission requirements

The following Bachelor’s degrees qualify students for admission to the Master’s degree programme in Statistics:

  • A Bachelor of Science degree in Mathematics with the special study area Mathematical Modelling of 40 ECTS Aarhus University.
  • A Bachelor of Science degree in Statistics from the University of Copenhagen.

The following other degrees can provide admission to the Master’s degree programme in Statistics:

  • A Bachelor’s degree amounting to at least 60 ECTS credits in Statistics and Probability theory can qualify the student for admission.

Other qualifications can provide admission to the Master’s degree programme, provided the university assesses that their level, extent and content correspond to the degrees mentioned above.

Upon admission further requirements regarding composition of the degree programme may be stipulated.

The statistics programme at the University of Aarhus is characterized by a strong focus on theoretical aspects, and incoming students are required to have a strong background in advanced probability theory based on measure and integration theory.

 

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