Bayesian Statistics
Course, Master's level, 1MS900
Spring 2025 Spring 2025, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 20 January 2025–8 June 2025
- Language of instruction
- English
- 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.
- Selection
-
Higher education credits in science and engineering (maximum 240 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 24,167
- Total tuition fee: SEK 24,167
- Application deadline
- 15 October 2024
- Application code
- UU-60502
Admitted or on the waiting list?
- Registration period
- 6 January 2025–2 February 2025
- Information on registration from the department
Spring 2025 Spring 2025, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 20 January 2025–8 June 2025
- Language of instruction
- English
- 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.
Admitted or on the waiting list?
- Registration period
- 6 January 2025–2 February 2025
- Information on registration from the department
About the course
The course contains decision-theoretic foundations, the minimaxity, the choice of prior distributions, conjugate families, Bayesian point estimation, Bayesian tests, MCMC, Gibbs sampler, and Bayesian model choice.