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
Computational techniques for large-scale data
The published source does not provide a description.
- Higher education
- Information unavailable
- 24 March 2025
- Information unavailable
- Information unavailable
- 50 %
Overview
The published source does not provide a description.
Admission scores
Entry requirements
För tillträde till kursen krävs att studenten har en examen på kandidatnivå inom något ämne, eller har minst 90 hp i datavetenskap, software engineering eller motsvarande. Specifikt krävs minst 15 hp avklarade kurser i programmering, varav minst 7.5 poäng i programmering python eller motsvarande. Därutöver krävs även att studenten har klarat en kurs i sannolikhetsteori eller statistik, exempelvis DIT862 eller MSG810 eller motsvarande. Följande kunskapsnivå i Engelska krävs; Engelska 6/Engelska B eller motsvarande från ett erkänt internationellt test, t.ex. TOELF, 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
- 2025-03-24
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.gu.dit066.86050.20251
- 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.dit066.86050.20251
- Offering identity in the source
- e.uoh.gu.dit066.86050.20251
- Education-form source code
- HS
- Education code in the source
- DIT066
- Change time according to the source
- 2024-09-10T10:12:21
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.