Entrance Year Sept 2024
Programme Code 21052
Mode of Study Mixed Mode
1 year (Full-time)
2 years (Part-time)
1 year (Full-time)
Credits Required for Graduation
Local Application Deadline 30 Apr 2024 * Early Round Application Deadline: 2023-11-16 Main Round Application Deadline: 2024-04-30
Non-Local Application Deadline 30 Apr 2024 * Early Round Application Deadline: 2023-11-16 Main Round Application Deadline: 2024-04-30
Programme Director Dr Feng TIAN Deputy Programme Director Dr Justin LAW
Dr Feng TIAN
Deputy Programme Director
Dr Justin LAW
Mode of study: Mixed-mode. Students can pursue their studies with either a full-time study load (taking 9 credits or more in a semester) or a part-time study load (fewer than 9 credits in a semester). Students should complete the programme full-time in 1 year and part-time in 2 years within the normal duration. Students will be required to attend more classes in the evening if they choose the full-time option, and the duration will be subject to class quota availability.
Note to Applicants
An incomplete application cannot be processed promptly and will reduce your chance of admission. Please complete all relevant fields on the application form and upload all necessary documents.
Aims and Characteristics
The advancement of information technology has made a great impact on the way of doing business and the practices in the accounting and finance profession. At the same time, the applications of data analytics have become increasingly important and significantly affected almost every business sector and industry. With the widespread application of emerging new digital technology to the accounting and finance profession, there is a need to equip students with the training of technological skills and knowledge to cope with the demands of the business community.
The Master of Science in Accounting and Finance Analytics is a conversion programme designed for graduates to develop a broad understanding of the accounting and finance disciplines and the applications of technology to these disciplines.
The programme aims to provide students with a combination of core knowledge in accounting and finance and skills in applying data analytics and technology to related practices. It facilities practitioners in accounting and finance to keep up with the latest data analytics applications and skills.
The programme emphasizes:
Knowledge and skills in data analytics.
Core knowledge in accounting and finance.
Applications of data analytics in accounting and finance.
Systematic training and development of data analytics skills and capability in solving business problems in accounting and finance.
Capitalizing on opportunities offered by big data in solving accounting, finance and business problems.