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Jönköping University
Design and Analysis of Experiments
**Data-Driven Process Improvement through Design of Experiments** Do you want to make more confident, data-driven decisions and systematically improve manufacturing processes? This course provides practical tools to plan, conduct, and analyse experiments in real industrial environments. By working with statistical…
- Higher education
- Information unavailable
- 31 August 2026
- Jönköping
- Information unavailable
- 33 %
Overview
**Data-Driven Process Improvement through Design of Experiments** Do you want to make more confident, data-driven decisions and systematically improve manufacturing processes? This course provides practical tools to plan, conduct, and analyse experiments in real industrial environments. By working with statistical thinking and modern approaches to Design of Experiments, you will learn how to identify the factors that influence quality, performance, and variation – and how to optimise them in a structured and efficient way. The course is designed for professionals in production, quality, process development, and R&D who want to strengthen their ability to use data as a basis for improvement. The focus is on industrial applications, particularly within metal manufacturing, where sound analysis can support more stable processes, better use of resources, and well-grounded decisions. After completing the course, you will have a clear methodology for testing ideas, evaluating results, and driving improvement initiatives based on evidence – skills that are directly applicable in your daily work and valuable for both you and your organisation.
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Entry requirements
Academic degree of at least 180 ECTS credits within Engineering and/or Technology or passed courses of at least 40 credits in the main field of study within Engineering and/or Technology and at least 1 year of work experience in the manufacturing industry or at least 4 years of work experience in the manufacturing industry. Proof of English proficiency is required.
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
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hj.t2doaa.13186.20262
- 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.
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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.hj.t2doaa.13186.20262
- Offering identity in the source
- e.uoh.hj.t2doaa.13186.20262
- Education-form source code
- HS
- Education code in the source
- T2DOAA
- Change time according to the source
- 2026-05-19T15:28:44
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.