Statistics, Master

  • Application Deadline
  • 24 months
  • Tuition
    Tuition (Full programme)
    Tuition (Full programme)
  • English
The Master Programme in Statistics at Uppsala University offers you a solid foundation in statistical theory and a deeper knowledge of areas such as econometrics, psychometrics and biostatistics. This provides you with the skills to critically analyse and interpret data from various application areas. As a graduate you will be well-prepared and in-demand for work in both the private and public sectors and for further studies in research education.
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding


Statistics are used daily in all areas of society and statistics as a science involves the study of methods used to draw conclusions about difficult problems. Examples of questions that can be answered with statistical methods are: What is the impact of new medical treatments and how strong is their effect? How many people are unemployed? What actions affect unemployment and to what extent? Will the repo rate go up or down within a certain time period?

As a statistician you usually work closely with subject specialists in a variety of areas and the statistician’s role is to have knowledge of how data are ­collected, analysed and interpreted.

Work as a statistician also includes method development, which is to improve existing or develop new methods. With a Master’s degree in Statistics, you get a good base to work with the above tasks.

Statistics is both a formal science and a practical approach, and both aspects are taken into account in the programme. The goal of the Master Programme in Statistics from Uppsala University is to prepare you well for skilled jobs, and for continuing graduate studies.

The programme begins with courses in Probability and Inference. These will consolidate and deepen the theoretical understanding of randomness and how to draw conclusions from data that contains random variation.

The theory oriented courses will provide a strong foundation in basic statistical theory that is later used in the more applied courses.

In the applied courses, you will learn how to use statistical techniques to deal with important real world problems. Obtained skills are collecting, processing and analysing data, interpreting and presenting results and empirical models.

Since the courses span over several areas such as biostatistics, econometrics, and structural equation models, there are numerous opportunities to specialise, depending on your interests.

Examples of courses offered are:

Econometrics, Epidemiology, Generalised Linear Models, Non-parametric Methods, Planning and Analysis of Clinical Trials, Statistical Programming in Structural Equation Models, Survival Analysis, and Repeated Measurements.

For example, the course Econometrics deals with statistical methods for the analysis of economic data and the estimation of theoretical economic models. Based on this analysis, relevant questions can be answered, e.g. what is the effect of a tax change, what is the return on education, etc.

In the course Survival Analysis, you will learn how to estimate the effect of a new medicine on survival time. These methods are moreover the same as those used to study the effects of labour market policies with regard to the time period an individual is unemployed. A good example of how useful statistical methods are in general!

All courses are not offered every year.


Statisticians are in demand on the labour market and through its methodological breadth, the Master Programme in Statistics offers students very good opportunities for employment in a variety of areas, both private and public. Amongst private employers, positions for statisticians are often found in the financial sector (banks, insurance, etc.), biomedical companies, research companies, opinion polling organisations and associations, while qualified statisticians in the public sector often work as analysts and investigators.

It is also common for statisticians to work at research institutions. The education also provides eligibility for PhD studies in Statistics.


The programme leads to a Master of Social Science (120 credits) with Statistics as the main field of study. After one year of study it may also be possible to obtain a Master of Social Science (60 credits).

Programme Structure

Courses Within The Programme
First, second and third semester

The study consists of the following core courses:

  • Probability Theory
  • Inference
  • Programming
Alongside these courses, more applied courses are offered. Examples of courses:
  • Multivariate Analysis
  • Econometric Theory and Methodology
  • Time Series Analysis
  • Structural Equation Models
  • Generalised Linear Models
  • Repeated Measurements
  • Survival Analysis
Fourth semester
  • Master’s thesis

Detailed Programme Facts

  • More details: August 28, 2017
  • Full-time duration 24 months
  • Study intensity Full-time
  • Credits
    120 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus
  • More information Go To The Course Website
Check Your Qualification
  • Enter your qualifications and directly see if a programme fits your profile

For Master's level studies, applicants must have a Bachelor's degree from an internationally recognised university. Applicants who have not been awarded a Bachelor's degree but are in their final year of studies may be conditionally admitted.

Applicants must also demonstrate proficiency in English, and this is usually done through an internationally recognised test such as TOEFL, IELTS or equivalent.

For detailed information about requirements, click the button Visit programme website.

Tuition Fee Per Full Programme

  • EUR 21084 International
  • Free EU/EEA
Application Fee: SEK 900
Tuition fee, first semester: SEK 50000
Tuition fee, total: SEK 200000


Uppsala University provides several different scholarships for students. The scholarships cover exclusively the tuition fees for courses within the programme, i e 30 credits per semester.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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