The aim of this programme is to equip students with the required knowledge in accounting and finance to interpret financial and accounting information. With the knowledge learnt, they would be able to provide advice to the company board or similar decision making body in term of company strategy development, decision-making and direction and to prepare candidates to write the professional examinations of the Chartered Governance Qualifying Programme, which is recognized worldwide. It is the students' responsibility to determine whether they are eligible to participate in the CGQP examination. 
 

The programme aims to provide students with essential knowledge to perform business analytics by processing, analysing, interpreting and visualizing business data. It discusses data wrangling and web scraping methods such as extraction of data from webpages and analysis of collected data to enhance business decision making. Besides, practical business applications of web scraping from managerial perspectives will be covered.

The programme aims to provide students with the basic knowledge of business forecasting and essential skills in predictive analytics for financial decision making. The programme illustrates techniques of data exploration and regression analysis, and discusses computational tools used to perform business forecasting and predictive analytics. Students can learn how to apply business forecasting through case studies and perform predictive analytics through practical classes in computer laboratories.

This programme aims to equip students with the skillsets to analyse HR data and apply the insights gained to support human resource management and organisational goals.
 
The programme examines the impact of technologies like big data, Internet of Things and artificial intelligence on human resource management and equips students with the knowledge to implement HR analysis techniques for HR functions such as workforce planning, talent acquisition, talent management, learning and development. The programme concludes with a discussion on the future of HR and the emerging trends of predictive HR analytics and digital transformation.

Organisations are undergoing unprecedented change, brought on by new definitions of work, new expectations of the workforce, and the increasing reliance on data and artificial intelligence for insights and decision-making.
 
This programme equips students with the skills to collect and apply basic HR analytical techniques for different workforce scenarios and the knowledge of how artificial intelligence can support workforce improvement.
 

This programme aims to equip students with the knowledge and skills to identify and apply appropriate predictive HR analytics to manage different stages of the talent life cycle, from recruitment, onboarding to retention.

The programme begins with an introduction to the types of analytics used today and how to apply predictive HR analytical tools to different workforce scenarios. The final part of the programme equips students with the skills and knowledge to report findings and insights for business and workforce management decision-making.
 

The programme aims to provide current and potential business leaders with the knowledge and competencies to analyse business issues and develop insights from data. The programme adopts a practical approach to enable business leaders to face the challenges and develop analytics capability for the organisation.