Bayesian Statistics and Data Analysis
Course, Master's level, 2ST128
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Uppsala, 50%, On-campus, English
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 August 2026–3 November 2026
- Language of instruction
- English
- 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.
- Selection
-
Higher education credits (maximum 285 credits)
- Fees
- 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.
- First tuition fee instalment: SEK 17,250
- Total tuition fee: SEK 17,250
- Application deadline
- 15 April 2026
- Application code
- UU-26617
Admitted or on the waiting list?
- Registration period
- 3 August 2026–24 August 2026
- Information on registration from the department
About the course
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.
Reading list
No reading list found.