Six Sigma and Statistical Methods for Quality Control
Taking a course in Six Sigma and Statistical Methods for Quality Control provides you with knowledge on how to identify and eliminate defects in processes to improve efficiency and quality. By using data-driven methods and systematic tools, companies can reduce variation, optimize resources, and increase customer satisfaction.
This course is designed for professionals aiming to enhance their expertise in quality control. It covers key topics such as:
Six Sigma principles
Statistical methods for quality improvement
Troubleshooting tools
Process capability
Control charts
Through a blend of lectures and practical exercises, you will gain hands-on experience and the ability to apply statistical thinking to real-world quality issues. Whether you have a background in engineering or relevant work experience, this course will equip you with the skills needed to drive quality improvements in various industries.
Target group
The course is aimed at you as an engineer or a professional with relevant work experience.
Content
The course consists of the following five parts:
Introduction to Six Sigma and Quality Control Understanding the fundamentals of Six Sigma and its role in quality control.
Statistical Methods for Quality Improvement Applying statistical thinking to enhance quality.
Quality Tools for Troubleshooting Utilizing the seven tools for identifying and solving quality problems.
Process Capability and Control Charts Assessing the capability of manufacturing processes and selecting appropriate control charts.
Sampling Methods Understanding the principles behind various sampling techniques.
Practical information
The course consists of lectures and exercises that will be offered online (see the schedule for more information).
Your performance is assessed through mandatory exercises to be completed during and at the end of each session. All the exercises must be approved to pass the course.
The course is given in English.
The course is free and gives 3,5 university credits.
Schedule Autumn 2025
18 november 13:00 - 14:30 (online) Session 1: Introduction to Quality Control and Six-Sigma
25 november 13:00 - 14:30 (online) Session 2: Statistical Thinking for Quality Improvement
2 december 13:00 - 14:30 (online) Session 3: Quality Tools for Troubleshooting
9 december 13:00 - 14:30 (online) Session 4: Process Capability and Control Charts
16 december 13:00 - 14:30 (online) Session 5: Sampling Methods and Course Review
Entry requirements
To have completed 90 higher education credits, including an independent work of 15 credits, or possess equivalent qualifications.
Additionally, candidates with relevant work experience are welcome to apply, where two years of relevant work experience is considered equivalent to one year of university studies at the bachelor's level. If necessary, the university can validate your competence.
