This course will give candidates a solid foundation in Quality Science & Six Sigma. Candidates will explore the history and development of Quality Science and the emergence of Six Sigma. You will develop a broad understanding of Six Sigma methodology [DMAIC] and the range of Six Sigma tools and techniques applicable in a Manufacturing or Service environment. Candidates will also get the opportunity to develop a working knowledge of the Statistical software package Minitab.

Trimester 3 | Credits: 5

This module introduces the concept of Quality Science. Learners will understand the Six Sigma methodology, and gain a foundation in the statistical methods and statistical thinking that forms the basis of the Six Sigma process. Learners build on this foundation so that they have the confidence and statistical skills necessary to visualise and interpret data. Learners develop a working knowledge of the statistical package Minitab.
(Language of instruction: English)

Learning Outcomes
  1. Deploy concepts of Quality Science, and Six Sigma methodology. Employ statistical methods and statistical thinking that form the basis of the Six Sigma process
  2. Demonstrate statistical skills to visualise and interpret data for scientific decision making
  3. Apply statistical knowledge, and skills in the statistical package Minitab, to various examples from manufacturing and service industries
  4. Develop Professional Transferable Skills (PTS), including critical thinking, problem solving, data driven decision making and written professional communication

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (60%)
  • Department-based Assessment (40%)
Module Director
Lecturers / Tutors
The above information outlines module BS1154: "Quality Science - Six Sigma" and is valid from 2020 onwards.
Note: Module offerings and details may be subject to change.

What will be covered in the module:

  • History & Development of Quality Science.
  • Emergence of Lean Systems and Six Sigma thinking.
  • What is Six Sigma?
  • Six Sigma roadmap [Define, Measure, Analyse, Improve, Control].
  • Descriptive Statistics.
  • Comparative tools for 2 or more variables. [Histograms, Boxplots, Individual Value Plots]
  • Hypothesis Testing [1 Sample T, 2 Sample T, ANOVA].
  • Non-parametric tests.
  • Correlation & Regression [Linear & Multiple].
  • Process Stability & Control [SPC including Common Cause & Special Cause variation].
  • Control Charts for variable and attribute data.
  • Process Capability.
  • Normal & Non-normal data.
  • Design of Experiments [DOE].

Contact Information

Please select Undergrad CPD in Science & Technology – CPB1 when making your online application.


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