Machine learning in healthcare
University of Gothenburg
Start date:
End date:
Pace of study: 50 %
Published education catalogue
Machine learning in healthcare
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: DIT634
The published source does not provide a description.
Entry requirements
One course of at least 5 hec each in programming, calculus, linear algebra and mathematical statistics (or the course DIT863). One course of at least 7,5 hec in machine learning, for example DIT968, DIT382 or DIT867 or equivalent. The course assumes that students are comfortable with basic concepts in probability & statistics, including random variables, probability distributions and densities and expectations. Applicants must prove knowledge of English: English 6/English B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.
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: 2025-03-03T10:11:38