Master's Programme in Statistics
Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.
In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.
Follow the instructions on wether you have to reply to your offer or not.
Checklist for admitted students
Activate your university account
The first step in being able to register and gain access to all the university's IT services.
Register at your department
Registration can be done in different ways. Read the instructions from your department below.
Read all the information on this page
Here you will find what you need to know before your course or programme starts.
Your seat may be withdrawn if you do not register according to the instructions provided by your department.
Information from the department - programmes
Read more on the department website
Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
Find your way on campus
Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
For new international students
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.