This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
University of Skövde
Virtual Intelligent Machines A1N
<p>The course introduces the idea of digital twins and their modeling. Students learn about machine vision and artificial intelligence algorithms which are used to demonstrate digital twin concept. The course will have a practical focus where the skills of algorithm development and integration are developed.</p>
- Higher education
- Information unavailable
- 18 January 2027
- Skövde
- Information unavailable
- 40 %
Overview
<p>The course introduces the idea of digital twins and their modeling. Students learn about machine vision and artificial intelligence algorithms which are used to demonstrate digital twin concept. The course will have a practical focus where the skills of algorithm development and integration are developed.</p>
Admission scores
Entry requirements
A Bachelor’s degree equivalent to a Swedish kandidatexamen of 180 credits, within the main fields of integrated product development, production engineering, automation engineering, mechanical engineering or information technology (or the equivalent).A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English 6 or English level 2 (or the equivalent). This is normally demonstrated by means of an internationally recognized language test, e.g. IELTS or TOEFL.
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
- 2027-01-18
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hs.vp711a.e6504.20271
- Last checked
- 2026-09-23T10:37:50.445791+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.hs.vp711a.e6504.20271
- Offering identity in the source
- e.uoh.hs.vp711a.e6504.20271
- Education-form source code
- HS
- Education code in the source
- VP711A
- Change time according to the source
- 2026-09-09T16:02:25
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.