This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Halmstad University
Bayesian Statistics for Machine Learning
The courses is for professionals and part of the programme MAISTR (hh.se/maistr) where participants can study the entire programme or individual courses. The course is part of the course track machine learning and is held online in English. <br> The course is broken down into:<br> Basic Bayesian concepts<br> Select…
- Higher education
- Information unavailable
- 31 August 2026
- Ortsoberoende
- Information unavailable
- 17 %
Overview
The courses is for professionals and part of the programme MAISTR (hh.se/maistr) where participants can study the entire programme or individual courses. The course is part of the course track machine learning and is held online in English. <br> The course is broken down into:<br> Basic Bayesian concepts<br> Selecting priors, deriving some equations<br> Bayesian inference, Parametric model estimation<br> Sampling based methods<br> Sequential inference (Kalman filters, particle filters)<br> Approximate inference, variational inference<br> Model selection (missing data)<br> Bayesian deep neural networks
Admission scores
Entry requirements
Degree of Bachelor of Science with a major in Computer Science and Engineering or Degree of Bachelor of Science in Engineering, Computer Science and Engineering. Including 5 credits statistics and 5 credits machine learning. The degree must be equivalent to a Swedish kandidatexamen or Swedish högskoleingenjörsexamen and must have been awarded from an internationally recognised university. English 6 or English level 2. Exemption of the requirement in Swedish is granted for those with foreign grades.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hh.dt8057.13201.20262
- Last checked
- 2026-09-23T10:37:30.869721+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
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Common occupations after graduation
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Geographical background
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.hh.dt8057.13201.20262
- Offering identity in the source
- e.uoh.hh.dt8057.13201.20262
- Education-form source code
- HS
- Education code in the source
- DT8057
- Change time according to the source
- 2026-02-26T08:54:45
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.