Quality Management & Statistics (Certificate, L7, 20 ECTS)

Semester 1

Statistics and Lean Six Sigma for Quality Management (5 ECTS)

Learners will be able to utilise statistical methods for handling, analysing and interpreting data; demonstrate proficiency in creation and interpretation of control charts; Describe tools and techniques required to measure, control and improve processes spanning the product lifecycle; and demonstrate knowledge of six sigma and lean manufacturing.

Quality Management Practices (5 ECTS)

Learners will be able to demonstrate a detailed knowledge, show experience and understanding of quality management principles and methods used in business to achieve results and customer satisfaction; quality management philosophies, strategic planning, leadership, team dynamics, communication, employee engagement, creative thinking, innovation, brain storming and management of change.

Semester 2

Quality Management Project (10 ECTS)

The learner will select and research a topic in a relevant area of Quality Management; plan, undertake and manage a project within a specified timeframe using limited resources; Apply the appropriate tools, methods, techniques and technologies in the solution of the problem and the management of the project in accordance with relevant regulatory standards; critically analyse the results of the project and make comprehensive recommendations if further work is necessary on the project or to improve the solution; and produce a clear, concise thesis document detailing all work done in accordance with currently accepted standards and make a final oral presentation on project progress and conclusions.

(a) QQI Level 6 award, or equivalent qualification in business/engineering or science, and/or relevant life and work experience.

Or

Recognition of Prior Learning (RPL) 
If you do not meet the academic entry requirements listed above but would like your application assessed under RPL please select YES on the online application. Please include details of any relevant work experience/further information relevant to your application.

English Language: Applicants who do not have English as their first language must ensure they satisfy English Language requirements. For entry to undergraduate courses, a score of 5.5 in an IELTS or equivalent exam is required. For postgraduate courses, a score of 6.0 in an IELTS or equivalent exam is required. It is the responsibility of the applicant to ensure their English proficiency meets these requirements. Please note that we do not request proof of English language qualification or proficiency.

Start Date

Student ‘Welcome Induction Session’ will take place online on the evening of Wednesday 2nd September 2026.

Programme delivery will commence the following week on Monday 7th September 2026.

Semester 1

Monday & Wednesday: 7.30-9.00 pm

Live online classes will be recorded and available to watch back.

Semester 2

Monday & Wednesday: 7.30-9.00 pm

Live online classes will be recorded and available to watch back.

Proposed delivery schedule is subject to change.

Each 5 credits will normally equate to approximately 100 Total Learning Hours. Total Learning Hours includes the time you spend in class (lectures, tutorials, practical elements) and the time you spend completing work outside of college.  The balance between these two varies by discipline, and by level of study. You should bear in mind that the workload will increase at particular times e.g. when assignments are due.

The modules in semester 1 and semester 2 will be assessed by a combination of continuous assessment and final examination papers online.

Certificate in Quality Management & Statistics (Level 7, 20 Credits)

€2,000* Springboard funded.

Successful applicants in employment will qualify for 90% Springboard+ funding & will be liable for the balance of the 10% fee of €200.

Successful applicants on a qualifying DSP payment will qualify for 100% funding.

*Limited Places*

Places are allocated on a first come first served basis, prioritizing unemployed and returning applicants.

The programme will close once the maximum number of applicants is reached.

Final closing date for any unfilled places will be the 19th July 2026.

Programmes run subject to viable numbers.