This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
University of Gothenburg
Machine learning in healthcare
The published source does not provide a description.
- Higher education
- Information unavailable
- 2 November 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
The published source does not provide a description.
Admission scores
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 level 2 or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.
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
- 2026-11-02
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.gu.dit634.86130.20262
- Last checked
- 2026-09-23T10:36:42.164498+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
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
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.gu.dit634.86130.20262
- Offering identity in the source
- e.uoh.gu.dit634.86130.20262
- Education-form source code
- HS
- Education code in the source
- DIT634
- Change time according to the source
- 2026-02-17T15:42:05
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.