Inventory management is an important part of a business because inventories usually incur the largest expense in business operations. This subject will impart an operational knowledge and understanding of inventory management principles and techniques, roles and responsibilities, and the impact that inventory can have on a business. Topics such as inventory management fundamentals, ordering fulfilment and production planning will also be covered.

This subject provides a basic understanding of the economic aspects of operational applications, elements of costs and costing methods, and the relationship between cost behaviour and profit. Students are expected to analyse different investment alternatives for economic decision making. Various methodologies to measure business performance will also be discussed.

This subject covers the concept behind supply chain management in competitive business survival and key strategies that can improve supply chain management performance of an enterprise. It also covers the importance of managing stocks, and selecting appropriate distributing and transportation network.

This subject provides an introduction to the decision making process and the models applicable to solve various decision problems. It will cover methods and techniques for decision making such as linear programming, network models and decision trees.

The subject will equip students with advanced techniques that streamline the data collection and preparation stage of the analytical process to deliver faster and more accurate data analysis results. Using software, students can easily identify suspicious or invalid cases, variables and data values.

The subject provides an introduction to basic statistical concepts. Topics include descriptive statistics, probability distributions, estimation of population parameter, hypothesis testing, and linear regression.

This subject introduces students to Six Sigma concepts that help to improve bottom-line performance and provide a competitive advantage from process improvement, enterprise speed and agility. Six Sigma is about improving quality and minimizing errors. The DMADV (define, measure, analyse, design, verify) method will also be covered and students will be able to appreciate the different circumstances which require the use of each method.

This subject provides an overview of systems thinking concepts, including tools such as “causal loop diagrams” and “systems archetypes”. Students will be introduced to techniques which will enable them to look at problems and issues from a systems perspective so as to be able to design effective interventions.

This subject provides an introduction to fundamental concepts of system modelling and simulation. Topics include basic model development, input analysis, modelling and statistical analysis. A simulation software will be extensively used as a platform to enhance student understanding and practical applications of the subject.

This subject introduces students to organizational theory and its application to dynamic organizations. It will focus on three levels of analysis: individual, group, and the organization as a whole. The subject will explore the impact of behaviours and attitudes on others within organizational settings, the dynamics of organizational structure and behaviour as they operate in today’s dynamic learning environment.

This subject introduces students to the various aspects of managing projects. Students will acquire the knowledge and skills to plan, execute, monitor, control and close projects. A standard project management software will be used to enhance students’ learning.

This subject provides an overview of general management systems used in industries. Students will acquire the knowledge and requisite skills in planning a Quality Management System and Environmental Management System as well as conduct a Quality Audit. Practical sessions to set up a simple quality management system, starting from writing a quality procedure to conducting an audit, will be carried out.