The Master Programme in Statistics at Uppsala University gives a solid foundation in statistical theory and a deeper knowledge in areas such as econometrics, psychometrics and biostatistics. This provides very good skills to critically analyse and interpret data from various application areas. With a degree from this programme you are 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 masters degree in Statistics, you get a good base to work with the above tasks.
About the 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 students 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.
For students who desire a more theoretical training and are interested in methodology, the programme provides the opportunity to further deepen the theoretical knowledge through additional courses, for example, Asymptotic Theory and Bayesian Methods.
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, the student 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 specialize, depending on your interests.
Examples of courses offered are:
Generalized Linear Models
Planning and Analysis of Clinical Trials
Statistical Programming in R
Structural Equation Models
For example, the course in 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!
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).
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 grades are Pass and Pass with distinction.
First, second and third semester The study consists of core courses as: Probability Theory Inference Programming Alongside these courses are offered more applied courses. Examples of courses: Multivariate Analysis Econometric Theory and Methodology Time Series Analysis Structural Equation Models Generalized Linear Models Repeated Measurements Survival Analysis
The Master Programme in Statistics prepares students for a successful career, both nationally and internationally.
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 organizations 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 graduate studies in statistics.
A Bachelor's degree comprising 90 credits from the subject area of statistics or the equivalent.
Proof of skills in English to a level corresponding to English B in the Swedish secondary school. This is normally attested by means of an internationally recognised test with the following minimum scores:
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
Cambridge: CAE, CPE
Selection will be based on previous academic studies and degrees 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 intent (1-2 pages).
Application and tuition fees are required for students outside the European Union (EU), European Economic Area (EEA) and Switzerland. Formal exchange students and doctoral students will be exempted from tuition fees, as well as the application fee.
Read more about fees.