The entry requirement for this course is a Level 6 with recognition of prior learning for skilled operators and technicians who want to up-skill to scientifically improve their processes, including for digitalisation.

Participants on the Level 7 Award in Quality Technology develop a sense of mastery in using statistical techniques and Lean/Six Sigma methods. As they grasp fundamental quality principles, learners become autonomous to select and apply an array of useful project and data tools/statistics for continuous improvement.

Course content is integrated with real-world data for work-relevant projects and problem-solving. This course is easy to fit around busy work schedules as the content is self-paced with evening tuition.

Learning Outcomes

On completion of this course learners can:

  • Undertake quality studies e.g., to select, use, and evaluate measurement and test equipment (M&TE)
  • Apply project management tools including Gantt charts
  • Model and manage process input and output variables
  • Utilise statistical techniques and software (Minitab)

Course Structure

This programme runs over 12 weeks, consisting of 3 virtual classroom days (Saturdays) and 9 tutorials (1 hour on a weekday evening).

  • Live, virtual tutorials and classroom days (tutorials & classroom days are recorded)
  • Self-paced learning resources

Benefits to Participating Companies

With the drive for competitiveness and an increased compliance burden, manufacturing/engineering companies depend on data-savvy employees capable of identifying non-value-add activities.

  • Bespoke programme for engineering industry
  • Skills pathway for data analytics and quality
  • Consistent application of quality principles and data tools
  • Increased mathematical competence and risk literacy
  • Learners are fully prepared to sit, and successfully achieve, the ASQ Certified Quality Technician (CQT) and the Six Sigma Green Belt (CSSGB) accreditation on completion of this programme.
Start Date February 24, 2024
Time Part-time evenings and Saturdays
Duration Semester
Delegate Price €1,575 (+VAT)
Type Virtual events