Part-time, Evening, Blended, On-line Programmes

Quality Management & Statistics (Special Purpose Award, Level 7)

Please note that this programme will open for applications in early October 2019. Additional information on this programme will be added to this webpage and on the Springboard portal in the coming months.

Aims

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).

This Certificate, along with the Certificate in Science in Quality (EIQA) and the Certificate in Science in Regulatory Affairs & Quality, can be combined to make up the add on level 7 Bachelor of Science (Ordinary) degree in Quality for Industry.

 

Content

The programme comprises of three modules.

In Semester 1 there will be two modules:

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; employ appropriate key problem solving tools e.g. root cause analysis & causal factors; demonstrate a detailed knowledge and understanding of cGMP guidelines as issued by various authorities; and present a case study to show understanding of processes and Quality Assurance.

In Semester 2 the module will be;

Quality Management Project which may be completed in conjunction with the workplace of the learner. 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.

Entry Requirement

Learners may already hold a Higher Certificate (Level 6, 120 credits) in Business, Engineering or Science. They may also be eligible for entry according to LIT’s Recognition of Prior Learning procedures.

 

Programme Delivery Mode

This programme is delivered with a mixture of online and classroom delivery. Some of the content will be delivered online with the remaining involving either lectures/practicals/tutorials delivered at the LIT Moylish Park Campus, Limerick and LIT Clonmel Campus, Tipperary.

Assessment/Examinations

The modules in semester 1 will be assessed by a combination of Continuous Assessment and Final Examination papers (50%/50%). In semester 2 the project module will be 100% Continuous Assessment.

Qualification

Certificate in Quality Management & Statistics, Special Purpose Award, Level 7, 20 Credits.

How to Apply

Applicants must apply for these programmes on the Springboard Website. The application process will be open in early October 2019.

 

 

Springboard+ is co-funded by the Government of Ireland and the European Social Fund as part of the ESF programme for Employability, Inclusion and Learning 2014-2020.

© 2019 Limerick Institute of Technology

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