This module introduces students to key challenges faced by managers in the new millennium. Learning includes the study of management concepts, management processes, and managerial roles in organization; classical, behavioural and contemporary viewpoints in management; organizational culture and social responsibility and ethics in management; planning and managerial decision making; organizing and organizational structure and design; leading, managing individuals and groups, motivation, leadership, employment relations and managerial control and control methods.

In this module, students will learn the different economic systems and how the market works. Students will be exposed to the various micro-economic theories of demand and production, product pricing, market forms; price determination under perfect competition and imperfect competition, and the theory of distribution. In addition, students will learn the macro-economic theory of income and employment determination, National Income, Keynesian and monetarists' viewpoints, and the main macro-economic concerns of Inflation; Unemployment, as well as Macro-economic policies and International Trade.

This module covers key knowledge and understanding of accounting principles and concepts including the preparation of accounting entries for non-current assets; advanced bookkeeping; journals for correction of errors and year-end adjustments; trial balance and financial accounts. Students will be exposed to AP AR GL CB COA TB POS modules. Key areas such as making end of period adjustments, producing and analysing end period reports will be covered. This qualification is suitable for those working or intending to work in advanced accounting roles.

This module is the foundation to the understanding of the principles and concepts of costing. Students will be taught the different principles, concepts, techniques, methods and systems of costing products and services. It also prepares the students for more advanced studies in management accounting at Advanced Diploma (Bachelor Year 2) level.

The objective of this module is to provide the understanding of the concepts of innovation and entrepreneurship and its macro-environment. The topics cover the arena of entrepreneurial goals and context; recognizing market opportunities; sourcing for factors of production and resources; concept of sustainability and developing sustainable venture; value creation; social entrepreneurship, innovation within the value chain of an organization; ownership and structure; innovators in action: managing rapid growth, managing a troubled organisation, and crafting a personal strategy.

This module is for learners who work in, or who want to work in, business and research environments. Learners will be aiming for a career in business and finance where they will be sourcing and analyzing business related data. Students will learn to apply statistical techniques to business data in order to plan and control business operations, evaluate and manage risk and support the decision-making process. This module will enhance students’ statistical knowledge and abilities which are employers’ requirements. This module covers management information, business planning models, risk management and business decision making, quality assurance and control.

This module is designed to provide students with the basic knowledge of international business and the implications of international business on organizations' strategies structure and functions, particularly in the fast pace of globalization. Students are exposed to all aspects of international business from international business theories, national and international environment, international legislation to international management as well as other related aspects.

With the likes of Apple Siri and Amazon Alexa, many MNCs and SMEs have reacted to the hype by adjusting its business inclination towards an Artificial Intelligence approach as part of their drive towards efficiency. This Module covers the aspects of Artificial Intelligence with the introductory course from Neural Networks and NLP to the primer course having a plethora of Machine Learning Algorithms. At the end of this module, students would expect to build AI Recognition application and be equipped with relevant AI knowledge for a promising career ahead.