Statistical product and process development

Education facts

Code: K7008N

The course discusses advanced experimental design methods, statistical process monitoring, and reliability analysis. These methods are used for fact-based decision-making in the realm of operations management.

Entry requirements

Completed courses of at least 120 credits, with at least the grade Pass. This must include the following courses: Mathematical Statistics (S0001M) 7,5 credits, Programming and Digitalisation (D0028E) 7,5 credits, Industrial logistics (K0020N) 7,5 credits, Quality Management, Introduction course (K0001N) 7,5 credits, Applied data analysis for engineers (K0021N) 7,5 credits, Differential calculus (M0047M) 7,5 credits, Linear Algebra and Integral Calculus (M0048M) 7,5 credits, Linear Algebra and Differential Equations (M0049M) 7,5 credits, Multivariable calculus (M0055M) 7,5 credits, or equivalent knowledge. Proficiency in English equivalent to Swedish upper secondary course English 6/level 2.

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.

• Statistical product and process development

  Luleå University of Technology

  Luleå

  Start date: 29 March 2027

  End date: 6 June 2027

  Pace of study: 50 %