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. 
 

Fintech and Insurtech are new and hot technology in bank and insurance sectors.  Programme Team proposes to introduce a Certificate for module ‘Compliance for Fintech and Insurtech’ which is an evolving area with market demand and is also a unique and pioneering course introduced by HKU SPACE.

The programme aims to provide students with the knowledge and skills to apply data analytics to enhance the quality and efficiency of audit processes. It will also introduce how the latest advances in artificial intelligence facilitate the application of audit analytics.   AI supported Audit Analytics will be taught with Demonstration using ChatGPT.
 

The programme aims to provide students with technical knowledge to help organisations adopt FinTech to cope with the changing risk environment. It also equips them with practical skills to effectively identify, assess, monitor and manage risks when using new financial technologies.

The programme aims to provide students with the key concepts of big data and related operational and ethical issues. It will discuss big data opportunities and challenges, fraud detection, data protection, ethical and compliance issues from managerial perspectives globally. Besides, best practices for data security and compliance, regulatory requirements will be covered in the programme.

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 essential knowledge of robotic process automation (RPA) in streamlining workflow and improving business operations. It covers the design, development and implementation of RPA with illustrations using computational tools. Practical applications and cases of RPA for business and finance will be discussed.  
 

The programme aims to provide students with the contemporary knowledge of distributed ledger and blockchain under the continuous technological advancement. It illustrates the development of smart contracts using computational tools and discusses a practical implementation of blockchain in business. The programme also covers the future development of distributed ledger and blockchain and their implications in business. 

The programme aims to provide students with the essential knowledge of business intelligence and data automation. It illustrates various techniques of data preparation, data transformation and data automation using computational tools. The programme also discusses real-life cases related to the usage of business intelligence, practical applications and implications of data automation in business. 

The programme aims to impart the essential knowledge of process automation to students and equip them with automation techniques in the business. It adopts a contemporary project management approach to business process automation. It also examines the emerging business opportunities and challenges in its planning and implementation of process automation.