Skip to content


Statistical Process Control and Six Sigma 7.5 credits

Statistisk processtyrning och sex sigma
Second cycle, K7005N
Course syllabus valid: Autumn 2021 Sp 1 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

Education level
Second cycle
Grade scale
G U 3 4 5
Quality Technology
Subject group (SCB)
Industrial Engineering and Management

Entry requirements

Quality management, Introduction course (K0001N) 7,5 credits and Mathematical Statistics (S0001M) 7,5 credits, or equivalent knowledge. At least 120 credits within technology/science.

More information about English language requirements


The selection is based on 20-285 credits

Course Aim
After completing the course students should be able to:
  • demonstrate the ability to use quality technology thinking to identify and formulate problems that can be solved using statistical process control.
  • describe Six Sigma, its history, and how Six Sigma can be used in organizational improvement work.
  • apply Six Sigma’s problem solving methodology.
  • demonstrate in-depth knowledge of statistical process control by describing central concepts and methods in the area.
  • apply central methods in statistical process control both through manual calculation and by using computer software.
  • demonstrate ability to practically use methods in statistical process control in an organization's improvement efforts.

The course covers both basic and advanced methods in statistical process control, such as: control charts and capability analysis. Control charts for variables and attribute data are introduced. The course also covers control charts for data with special characteristics that can appear in industry. The different parts of the improvement program or philosophy Six Sigma and their implementation in organizations are discussed. The problem solving methodology typically used in Six Sigma is studied and are normally applied in the student’s project work. The course also covers additional content from relevant research articles in the field.

Each course occasion´s language and form is stated and appear on the course page on Luleå University of Technology's website.
The course is primarily offered as a campus course at LTU, but the course is some years also available as a web-based course on distance. Teaching in the campus course consists of classroom lectures and seminars, video recordings and group work. The course normally also includes mandatory assignments and project work which should be presented orally and in writing. Compulsory attendance may apply, such as at oral presentations of projects. Part of the teaching can be held in English.
The distance learning course consists of self-tutoring using tutorials, mentoring and group work without meetings at campus. The distance course normally also includes mandatory assignments and project work that need to be presented both orally and in writing.

If there is a decision on special educational support, in accordance with the Guideline Student's rights and obligations at Luleå University of Technology, an adapted or alternative form of examination can be provided.
The student should demonstrate that the course aims are reached through an oral or written final exam, and through oral and written presentation of mandatory assignments and project work. All examined parts of the course must be approved for a passing grade.

Students must register for the courses themselves, or contact ETS educational administration, not later than three days after the quarter commences. Failure to do so can result in the place being lost. This rule also applies to students with a guaranteed place.

Bjarne Bergquist

Transition terms
The course K7005N is equal to IEK215

Literature. Valid from Autumn 2021 Sp 1 (May change until 10 weeks before course start)
Montgomery, D.C. Introduction to Statistical Quality Control, EMEA Edition, John Wiley & Sons, NY. The latest available edition of Montgomerys book, at the start of the course, is used as literature.
Sörqvist L. & Höglund F. (2017). Sex Sigma - Resultatorienterat förbättringsarbete. Studentlitteratur, Lund. ISBN: 9789144114378.
Current research articles and additional literature can be added via the course´s learning platform.

Course offered by
Department of Social Sciences, Technology and Arts

CodeDescriptionGrade scaleCrStatusFrom periodTitle
0003Written examG U 3 4 54.50MandatoryA21
0004Compulsory group work/project workU G#3.00MandatoryA21

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.

Syllabus established
by Department of Business Administration and Social Sciences 17 Dec 2007

Last revised
by Director of Undergraduate Studies Daniel Örtqvist, Department of Social Sciences, Technology and Arts 16 Jun 2021