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Mälardalen University
Multivariate Data Analysis in Engineering
<p>The application of multivariate data analysis methods and a tremendous increase in available computational power have opened great opportunities to address present and future engineering challenges. </p><p>If you want to learn how the modern multivariate data analysis, including artificial intelligence (AI) and m…
- Higher education
- Information unavailable
- 1 September 2025
- Information unavailable
- Information unavailable
- 50 %
Overview
<p>The application of multivariate data analysis methods and a tremendous increase in available computational power have opened great opportunities to address present and future engineering challenges. </p><p>If you want to learn how the modern multivariate data analysis, including artificial intelligence (AI) and machine learning algorithms, can be used to address engineering challenges - then this course is for you. </p><p>The course will provide you with the essential knowledge that enhances your capabilities to solve complex engineering problems, within fields such as waste management, energy, agriculture, water management, weather forecasting - and thereby contributing to sustainable development. </p>
Admission scores
Entry requirements
120 credits of which 90 credits engineering and/or natural science, and 7.5 credits mathematics. In addition Swedish course B/Swedish course 3 and English course B/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
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
- 2025-09-01
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.mdu.mtk337.23075.20252
- Last checked
- 2026-09-23T10:38:46.21657+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
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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.mdu.mtk337.23075.20252
- Offering identity in the source
- e.uoh.mdu.mtk337.23075.20252
- Education-form source code
- HS
- Education code in the source
- MTK337
- Change time according to the source
- 2025-03-18T10:04:53
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.