The course content is integrated with real-world data for work-relevant projects and problem-solving. This 100% virtual 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:

- Grasp the fundamentals of scientific process improvement.

- 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).

Ø Live, virtual tutorials and classroom days (tutorials & classroom days are recorded)

Ø 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.

Ø Bespoke programme for engineering industry

Ø Skills pathway for data analytics and quality

Ø Consistent application of quality principles and data tools

Ø Increased mathematical competence and risk literacy

Ø 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.

Contact us for a brochure for this Award which was co-created with the help of funding from the Government of Ireland, European Union ESF+ (European Social Fund) and our member companies. 

 

Start Date October 09, 2024
Time Noon
Duration 1 hour
Delegate Price Free
Type Virtual events
Contact fiona.fennell@ibec.ie