Bayesian Statistics and Data Analysis

Education facts

Code: 2ST128

The course is an introduction to Bayesian Statistics and Dana Analysis. The course covers core ideas in Bayesian inference, such as Bayesian epistemology, Bayes theorem, prior and posterior distributions, analytical derivation of posterior distributions and conjugacy. In addition, modern methods for posterior simulation are introduced in the form of Markov Chain Monte Carlo, Hamiltonian Monte Carlo and the probabilistic programming language Stan. The Bayesian inference methods and principles on model assessment and model selection are studied theoretically and practically through continuous computer assignments and a smaller data analysis project.

Entry requirements

120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science.

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 and Data Analysis

  Uppsala University

  Start date: 31 August 2026

  End date: 3 November 2026

  Pace of study: 50 %