This module focuses on the dynamics of HR, resource, and business procurement exploring the changing nature of business environments and business process management. Particular attention to what creates a successful resource management function and one that contributes to a strategic partnership and overall organisational effectiveness. The module identifies best practices in areas such as the design of the HR organization and HR metrics. To define how the HR function can and should change to meet the future demands of a global labour market and strategic sourcing with the use of Artificial Intelligence (AI).
This module focuses on quality control, efficient production, and timely delivery of operation management, that leads to high customer satisfaction, repeat business, positive referrals, and a strong reputation. Students explore the constituents of the 5P model and the 3 key aspects of operation management that represents the three components of operations: inputs, transformation processes and outputs.
This module focuses on the global market place in which international businesses operate and comprises of trade theories and government policies. The module also covers key concepts, theories and aspects of Product-Process-Business Integration, international macroeconomic debates such as the operation of financial markets and international lending combined with a critical analysis of recent events in the global economy.
This module enables students to understand the fundamental concepts of data science and appreciate key techniques of data science and its applications in a wide range of business context. Students will be exposed to data understanding, preparation, modelling, results evaluation and data visualisation techniques that can assist businesses in making effective data-driven decisions to improve productivity and consumer satisfaction. Students are introduced to the practical application of tools and techniques required to perform data science projects in a modern business environment
The module introduces research skills and problem analysis techniques in business research, management and information science. It will develop analytical skills in presentation of research proposal, literature review, data collection, data presentation, parameters extraction and presentation of a sound research report. After taking this module, students will be familiar with techniques of collecting, analysis of quantitative and qualitative data sources, and developing research time table.
This module provides the theory and practices in Artificial Intelligence (AI) used by organisations to enable better, faster, and more automated decisions. The deployment of AI in large organisations involve learning from large datasets to make a prediction or classification, which in turn helps business with making a better operational decision. Understanding better operational decisions, in turn, enhance efficiency by producing better outcomes.