Entrance Year Sept 2022
Programme Code 21052
Stream Code
FAM (Full-time)
PAM (Part-time)
Mode of Study Mixed Mode
Normal Duration
1 year (Full-time)
2 years (Part-time)
Credits Required for Graduation
30
Local Application Deadline 30 Apr 2022
Non-Local Application Deadline 30 Apr 2022
Programme Leaders
Programme Director Dr Tian Feng Programme Manager Dr Justin Law
PhD
PhD
Remarks
- Mode of study: Mixed-mode. Students can take either a full-time study load (9 credits or more in a semester) or a part-time study load (fewer than 9 credits in a semester). Depending on their study pace, students should normally be able to complete the programme full-time in 1 year and part-time in 2 years. 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 programme is designed for graduates to develop a broad understanding of the accounting and finance disciplines and the applications of state-of-the-art technologies to manage the changing landscape in the fields of accounting and finance.
Programme Aims
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 helps practitioners in accounting and finance to keep up with the latest data analytics applications and skills.
The programme emphasises:
-
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.
Message from Alumnus

12 November 2021
AF Tech Workshop x Digital Transformation Frontiers Forum InsurTech

8 October 2021
Technology Workshop: Advanced Tech Applications in Big4

5 October 2021
CV Writing and Career Preparation Workshop

14 April 2021
Technology Workshop: ESG RegTech Talk

29 September 2020
CV Writing and Career Preparation Workshop

25 April 2020
MSc in Accounting and Finance Analytics Online Information Seminar


Download Brochure

(852) 3400 3229 / (852) 2766 4015