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University of Skövde
Visual Data Analysis A1N
<p>Analyzing large data sets in order to find patterns, trends or extract new knowledge can be a challenging process. Data and information visualization methods help supporting this process and allow decision makers to derive analytical results from the data.</p> <p>This course serves as an introduction to the scien…
- Higher education
- Information unavailable
- 18 January 2027
- Skövde
- Information unavailable
- 50 %
Overview
<p>Analyzing large data sets in order to find patterns, trends or extract new knowledge can be a challenging process. Data and information visualization methods help supporting this process and allow decision makers to derive analytical results from the data.</p> <p>This course serves as an introduction to the science and technology of data and information visualization, visual data mining and visual analytics. The course contents include both theoretical foundations as well as practical applications of integrated visual analysis techniques to large real-world data intensive problems.</p>
Admission scores
Entry requirements
A Bachelor degree of at least 180 higher education credits (equivalent to 180 ECTS) within the fields of informatics or computer science. A further requirement is proof of skills in English, equivalent of studies at upper secondary level in Sweden, known as English 6 or English level 2. This is normally demonstrated by means of an internationally recognized test, e.g., IELTS, TOEFL, or an equivalent.
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.it824a.96405.20271
- Last checked
- 2026-09-23T10:37:43.911976+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
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- Programme or course starts
- Programme or course ends
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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.it824a.96405.20271
- Offering identity in the source
- e.uoh.hs.it824a.96405.20271
- Education-form source code
- HS
- Education code in the source
- IT824A
- Change time according to the source
- 2026-08-20T13:43:17
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.