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

  • Status: Apply Now

  • Campus: Online

  • years: 1

  • Fees: Springboard Funded for 2024. See Fees Section below.

Course Overview

The aim of the Certificate in Quality Management & Statistics is to provide students with the basic skills necessary to work in the area of Quality within the healthcare, (bio) pharmaceutical medical devices and allied industries, specifically the Management of Quality with the aid of statistical methodologies like lean Six Sigma in those industries. It is aimed at upskilling learners who aspire to supervisory or management roles and/or who need an understanding of Lean Six Sigma (at Yellow Belt Level).

Contact Details

General Queries

Flexible Learning Office


Telephone: (061) 293802

Academic Queries

Dr. Tracey Larkin


What are the entry requirements?

QQI Level 6 award, or equivalent qualification in business/engineering or science, and/or relevant life and work experience. Applicants may also be eligible for entry according to LIT’s Recognition of Prior Learning procedures.


Recognised Prior Learning (RPL) – Assessment
Please review the academic entry requirements for this programme.
If you do not hold these qualifications but would like your application to be assessed under RPL please select YES on the online application form.
Once you have submitted your online application you will then receive an email acknowledgement with further instructions on RPL.


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.

Course Content

  • Statistics and Lean Six Sigma for Quality Management

    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

    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

  • Quality Management Project

    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.

More Information

  • The proposed delivery schedule is subject to change.

    Semester One
    15 weeks
    Sept ’24 – Dec ’24
    Mondays 7.30-9
    Wednesdays 7.30-9

    Semester Two
    15 Weeks
    Jan ’25 – May ’25
    Wednesdays – 7pm to 10pm

    This course is delivered entirely online with a combination of live and pre-recorded lectures all available on our virtual learning platform-Moodle. As part of induction all participants will become familiar with Moodle, MS Teams, Zoom and any other college specific resources.


  • 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 (Special Purpose Award, Level 7, 20 Credits)

  • This programme is Springboard+ funded for 2024. Successful applicants in employment will qualify for 90% Springboard+ funding & will be liable for the balance of the 10% fee of €190. Successful applicants on a qualifying DSP payment will qualify for 100% funding.

  • 11 August 2024. Places are allocated on a first come first served basis, prioritizing unemployed and returning applicants. Course will be closed once the maximum number of applicants is reached. Courses run subject to viable numbers.