Bayesian Statistics for Machine Learning

Education facts

Code: DT8057

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

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.

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 for Machine Learning

  Halmstad University

  Ortsoberoende

  Start date: 31 August 2026

  End date: 22 November 2026

  Pace of study: 17 %