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.
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.
First semester courses
Statistics and Data Analysis for Business Administration, 15 ECTS credits
Financial statistics, 7.5 ECTS credits
Third semester courses
Multivariate Methods, 7.5 ECTS credits
Selected statistical methods with applications, 7.5 ECTS credits
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!
- Bayesian learning, 7,5 ECTS credits
- Computational statistics, 7,5 ECTS credits
- Experimental Design, 7,5 ECTS credits
- Generalized Linear Models, 7,5 ECTS credits
- Inference theory, 7,5 ECTS credits
- Machine Learning, 7,5 ECTS credits
- Master's Degree Project in Statistics, 30 ECTS credits
- Multivariate Analysis, 7,5 ECTS credits
- Probability Theory, 7,5 ECTS credits
- R Programming, 7,5 ECTS credits
- Sampling and Estimation, 7,5 ECTS credits
- Theory and Methodology of Statistical Science, 7,5 ECTS credits
Master's Programme in Statistics
The Master's program 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 (234 Kb)
Read more and apply to the Master´s Program!
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?
PhD Studies
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:
PhD Courses
Are you looking for a Statistics course at PhD level? Check out GRAPES: Swedish Network for Graduate and Postgraduate Education in Statistics.
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
Guide on doctoral studentship
Read our guide on doctoral studentship and get information about being a doctoral student at our department.
The Information for doctoral students and supervisors at the Department of Statistics aims to guide our new doctoral students into their doctoral studentships, and also to give information about being a doctoral student at the Department of Statistics.
We want to keep this document updated, so we are grateful if everyone, doctoral students and supervisors, contributes with their knowledge, tells us what they need to know and find in such a document, and helps to keep the information updated, via studievagledare@stat.su.se
If you are interested in a specific topic in the document, you can use the "ctrl-button" and click on the headline in the table of content to skip to the relevant section.
Information for doctoral students and supervisors at the Department of Statistics (365 Kb)