Machine learning
Stockholm University
Stockholm
Start date:
End date:
Pace of study: 50 %
Published education catalogue
Machine learning
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: ST5401
The published source does not provide a description.
Entry requirements
90 ECTS credits first-cycle (basic level) courses, of which 60 ECTS credits in Statistics and 15 ECTS credits bachelor’s thesis in Statistics or other subject with quantitative focus, and Statistical Theory with Applications, first-cycle, 15 ECTS or equivalent. R programming, second-cycle (advanced level), 7.5 ECTS or equivalent. English 6 or equivalent.
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.
Source and updates
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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-03-02T12:49:39