Design and Analysis of Experiments

Education facts

Code: T2DOAA

**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.

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.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Design and Analysis of Experiments

  Jönköping University

  Jönköping

  Start date: 31 August 2026

  End date: 4 October 2026

  Pace of study: 33 %