Course details

The Certificate in Science in Quality for Industry - Statistics & Management is a 20 credit Special Purpose Award at Level 7 aimed at upskilling people who aspire to supervisory or management roles and/or who need an understanding of Six Sigma (at Yellow Belt Level). This Certificate, along with (a) the Certificate in Science in Quality for Industry and (b) the Certificate in Quality for Regulatory Affairs make up the add-on Bachelor of Science (Ordinary) Degree in Quality for Industry. Students who pass the assessments for the modules, or who gain exemption from a module(s) with this Certificate (under GMIT's Recognised Prior Learning process) will obtain the Certificate. The add-on Bachelor of Science (Ordinary) Degree in Quality for Industry is an add-on degree. You can undertake any/all individual module(s) and you can obtain any/all three Certificates. But to obtain the Bachelor of Science (Ordinary) Degree in Quality you must already hold a Higher Certificate (Level 6, 120 credits) in Business, Engineering or Science.

Programme Modules

The make-up of the Certificate in Quality - Statistics & Management is:

  • Production & Supervisory Management (5 Credits Level 7)
  • Six Sigma for Quality Management (5 Credits Level 7)
  • Project (10 Credits Level 7)

Learning Outcomes:

Production & Supervisory Management

  • Be capable of applying the principles of general and operational management
  • Be supportive of people in area of responsibility in achieving organisational goals and objectives
  • Prioritise production activities based on business needs
  • Be able to use the various models for process improvement
  • Have a knowledge of the methodology of process and production management and of its limitations
  • Be able to explain fundamental financial measurements and how they are applied
  • Practice effective supervisory management skills and assist staff through the process of change

Six Sigma for Quality Management

  • Describe the role of Six Sigma as part of an organization's quality management system
  • Perform various analyses such as DMAIC and Structured Problem Solving.
  • Identify and apply relevant quality tools to manufacturing issues, such tools to include cycle time reduction, risk analysis, kaizen and waste elimination.
  • Apply probablitity and statistical rules and concepts.
  • Develop plans for continuous improvement

Project

  • Undertake literature reviews, develop a project plan, perform the necessary investigative work and write a dissertation on their findings.
  • Source scientific and/or regulatory literature and access relevant information through the use of journals, books, abstracts, current contents, inter-library loans, the Internet, CD-ROM and other electronic media
  • Design and undertake appropriate work and present results.
  • Identify the appropriate methods for research, to analyse experimental results and to modify the project as relevant.
  • Reflect on their project results and to be able to present their results, discuss the outcomes of the project and identify areas for improvement in their skills of project management.
Updated on 08 November, 2015

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