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.
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 will receive the foundation needed to work with the above tasks.
Why this programme?
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 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!
Not all courses are offered every year.
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).
First, second and third semester The study consists of the following core courses:
Alongside these courses, more applied courses are offered. Examples of courses:
Econometric Theory and Methodology
Time Series Analysis
Structural Equation Models
Generalised Linear Models
Master’s thesis, 30 credits
The Master Programme in Statistics is an international education and is taught in English. Instruction is mainly in the form of lectures, seminars and tutorials with elements of assignments. Examination of the courses is in the form of written exams, assignments and seminars. The programme is offered in Uppsala.
The grades used are Pass and Pass with distinction.
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 qualification also provides eligibility for PhD studies in Statistics.
Requirements: Academic requirements A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. Also required is 90 credits in statistics.
Language requirements All applicants need to verify English language proficiency that corresponds to English studies at upper secondary (high school) level in Sweden ("English 6"). This can be done in a number of ways, including through an internationally recognised test such as TOEFL or IELTS, or through previous upper secondary (high school) or university studies. The minimum test scores are:
IELTS: an overall mark of 6.5 and no section below 5.5
TOEFL: Paper-based: Score of 4.5 (scale 1–6) in written test and a total score of 575. Internet-based: Score of 20 (scale 0–30) in written test and a total score of 90
a total appraisal of quantity and quality of previous university studies with emphasis on grades in relevant fields and degree project (if any);
a summary in English (1-2 pages) of a previous degree project (if any); and
a statement of purpose (1-2 pages).
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees. Fees cover application and tuition only and do not cover accommodation, academic literature or the general cost of living. Read more about fees.