Courses and programmes

The Department of Statistics offer courses and programs in statistics, statistical programming and data analytics. Follow the link below to search among our current courses and find the right education for you!

Search among our courses and programmes

Statistician top job of the year!

The number one best business job: Statistician. This is the result of the U.S. News & World Report’s annual jobs ranking, where statisticians also are in the absolute top of the 100 best jobs.

Diplom. Foto: Ingmarie Andersson.

Jobs for statisticians are expected to be growing even more, and are available in almost any fields in society. Regardless of your interest, you can find a matching job for a statistician, within medicine, economy, ecology, planning, human rights, and social scienses, among many examples. Statisticians work in many different kinds of organizations, from NGO:s to private companies. There are opportunities for international work, as well as working close to home.

"Statistics continues to offer great careers with above-average salaries, broad applications, and low unemployment - Statisticians are in demand!"

Undergraduate level courses

Are you interested in studying statistics? Here you will find all the freestanding
undergraduate courses given in English at the Department of Statistics.

En graf på en datorskärm. Foto Pexels.

Advanced level courses

Freestanding courses on advanced level

Study statistics on an advanced level, to deepen your knowledge and specialize within a field of statistics!

Master's Programme in Statistics

The Master's Programme deepens and broadens your knowledge in statistics and statistical programming. With a foundation of statistical theory and statistical methods, you will be able to specialize in analyzing problems in some particular area of statistical applications according to your interests.

The aims of the program are to provide both greater breadth and greater depth in the statistical discipline. After completion of the programme you can work with qualified statistical analysis in the private or the public sector or continue with PhD studies in statistics. The program gives a good education for anyone who wants to evolve in their statistics carreer, and includes courses in R-programming and Machine Learning as well as Probability theory, Inference theory, Statistical Computation and Multivariate Analysis. A number of optional courses complete the specialization.

Education plan pdf, 234.5 kB. (234 Kb)

Master’s Program in Data Science, Statistics and Decision Analysis

In the autumn semester 2024, the Department of Computer and Systems Sciences is starting a new Master's Program in "Data Science, Statistics and Decision Analysis". The program is given in collaboration with the Department of Statistics. In the first semester, you study a course in Statistics and data analysis and further in the education courses in Statistical theory and modeling as well as Bayesian learning. These courses are given by us at the Department of Statistics.

Statistics and Data Analysis for Computer and Systems Sciences

Statistical Theory and Modelling

Bayesian learning

Study at the master's level

Study statistics on an advanced level, to deepen your knowledge and specialize within a field of statistics! We offer both second level courses and a Master's Programme in English.

What is it like to study statistics the Master's programme in Statistics? Ask one of our alumni!

Our alumni Edgar Bueno studied the Master's Program in Statistics, and has now completed his PhD. He will tell you more about why she chose to study with us, and answer your questions: What is it like to study statistics?

Studentkommunikation. Foto: Niklas Björling

PhD Studies

Spiktavla för doktorsavhandlingar. Foto: Ingmarie Andersson.

Studies at the research level in statistics are designed to provide broad subject knowledge in the central parts of statistics, deep knowledge in one statistical area of expertise, ability to apply statistical methods to practical problems and to follow the scientific literature on the subject. As a PhD student you will also be an employed researcher in statistics and conduct your own scientific research.

Questions?

For more information, please contact our Director of Graduate Studies Tatjana von Rosen.
Room: B771 (hus B, plan 7), Tel: 08-16 2957
Office hours: by appointment
E-mail: studierektorf(a)stat.su.se

Eligibility and Prerequisites

Basic Eligibility

To meet the basic eligibility requirements for the doctoral programme, candidates must hold a Master’s degree, have completed 240 ECTS credits, of which 60 ECTS credits must consist of second-cycle courses, or otherwise have gained equivalent knowledge domestically or abroad.

The university may exempt individual applicants from the requirement for basic eligibility where specific grounds apply. Any decisions regarding exemption are made by the Board of the Department of Statistics.

Special Eligibility

Apart from general eligibility, there are specific eligibility requirements for the doctoral programme in statistics. To meet the special eligibility requirements, candidates must hold 90 ECTS credits in Statistics or equivalent. At least 15 of these 90 ECTS credits should consist of an independent dissertation.

Furthermore, English proficiency is required for special eligibility. Language proficiency includes the ability to read, speak and write in English.

Contents and Structure of the Programme

A doctorate degree requires four years of full-time study, and the programme is structured accordingly. Thus, it is assumed that the doctoral student will commit fully to their studies, but also maximise the utility of any tuition and supervision. The doctoral student may request to reduce their work to a part-time capacity, however never less than 50% of full-time capacity, i.e. eight years.

The doctoral student may be offered to teach or undertake other tasks at the department by up to 20% of full-time capacity over an academic year. In these cases the programme is extended accordingly to up to five academic years.

The length of the programme to achieve a doctoral degree is four years of full-time studies, which comprises 240 ECTS credits. The programme consists of a course part consisting of 90 ECTS credits and a thesis consisting of 150 ECTS credits. A licentiate degree may be awarded after 120 ECTS credits, out of which 45 ECTS credits must comprise courses and 75 ECTS credits must comprise an academic paper.

All doctoral students who are admitted to the doctoral programme in statistics must follow the current general syllabus. Any collaborations in the form of cotutelle, individual doctoral students’ participation in research academies or externally financed projects may only affect the individual differences in the programme that are documented in the individual syllabus.

The detailed structuring of the studies is determined in item 6.3 in the Education plan for the PhD studies, as well as in the individual syllabus.

Education plan

This is an extract from the Education Plan at the Research Level in Statistics at Stockholm University. You can download the Education Plan as a pdf here:

Education plan for Phd Studies in Statistics pdf, 150.9 kB. (150 Kb)

Information for doctoral students and supervisors at the Department of Statistics

PhD Council

The PhD Council is represented at the board of the department.

You can reach the PhD council via the mailing list doktorander-at-stat.su.se

Last updated: 2025-11-04

Source: Department of Statistics