Bayesian Statistics

Education facts

Code: 1MS900

In contrast to the usual frequentist methods, where the parameters are assumed to be fixed, the Bayesian methods assume that the parameters can be described as random variables. This allows one to begin one's analysis by having so-called priori distributions for the parameters, which can then be updated to so-called a posteriori distributions after taking into account the observational data. Finally, these a posteriori distributions can be used to draw conclusions in the statistical analysis.

Entry requirements

120 credits including 60 credits in mathematics and/or data science including at least 45 credits in mathematics. Participation in Introduction to Data Science or participation in both Inference Theory II and Regression Analysis. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Bayesian Statistics

  Uppsala University

  Uppsala

  Start date: 18 January 2027

  End date: 6 June 2027

  Pace of study: 33 %