Available in 2022
Course code



10 units


6000 level

Course handbook


Through a quality improvement and data analytics lens, the course develops the student’s ability to leverage workplace data and synergies, analyse and improve organisational systems, and realise quality processes and outcomes.

Students will become systems thinkers, able to: engage appropriate statistical techniques for assessing, describing and improving systems, processes and outcomes; and, lead data-based decision making and quality improvement considerate of the system’s many stakeholders, utilising the science, psychology, and management of systems and the underlying statistical principles.

The course provides a holistic industry-oriented approach which develops the student’s analytical, management and leadership prowess and advances their T-shaped skillset.

Without data you’re just another person with an opinion.

Availability2022 Course Timetables


  • Semester 2 - 2022

Learning outcomes

On successful completion of the course students will be able to:

1. Describe and defend the fundamental principles of Total Quality Management and systems thinking

2. Understand and utilise fundamental principles and methods underpinning holistic and integrated analytic thinking and process improvement within systems of both learning and organisational practice

3. Choose appropriate statistical techniques and methods for improving systems, processes and the quality and value of their outcomes

4. Write reports describing processes and recommending ways to improve them

5. Keep abreast of changes in, and practical applications of, the field of systems, process and quality improvement

6. Appreciate and apply the value arising from the process of learning and discovery


  • Total Quality Management (TQM) and systems thinking
  • how statistician W.E. Deming founded and implemented TQM, engaging systems thinking principles, for competitive advantage within Japan and internationally
  • the Deming Quality philosophy and that of other Quality theorists
  • techniques and tools for assessing, measuring and improving systems, processes and outcomes
  • understanding, learning from and reducing variability of processes through statistical thinking
  • the role of management and leadership in a TQM organisation
  • the role and implementation of quality improvement teams
  • the "seven simple tools" for process improvement
  • fundamental statistical methods and data collection, visualisation and interpretation
  • more advanced statistical techniques such as control charts, statistical process control, surveys and experimental design
  • complementary quality techniques such as benchmarking and quality standards (ISO9000)

Assessment items

Written Assignment: Assignment 1

Written Assignment: Assignment 2

Formal Examination: Q-Team project or Essay and Final written assignment

Participation: Online Participation

Contact hours



Online 2 hour(s) per Week for Full Term


Online 2 hour(s) per Week for Full Term

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.