Entrance Year Sept 2025
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
31
Local Application Deadline 30 Apr 2025 * Early Round Application Deadline: 2024-11-21; Main Round Application Deadline: 2025-04-30
Non-Local Application Deadline 30 Apr 2025 * Early Round Application Deadline: 2024-11-21; Main Round Application Deadline: 2025-04-30
Programme Leader(s)
Programme Director
Dr Feng TIAN
PhD
Deputy Programme Director
Dr Justin LAW
PhD
Remarks
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.
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 facilities practitioners in accounting and finance to keep up with the latest data analytics applications and skills.
The programme emphasizes:
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Knowledge and skills in data analytics.
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Core knowledge in accounting and finance.
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Applications of data analytics in accounting and finance.
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Systematic training and development of data analytics skills and capability in solving business problems in accounting and finance.
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Capitalizing on opportunities offered by big data in solving accounting, finance and business problems.
Message from Alumnus
27 October 2022
MAFA Workshop x 2022 DAS Seminars on "DeFi & Cryptocurrencies"
12 October 2022
MAFA Workshop X 2022 DAS Seminars on" CBDC & Stablecoin "
6 October 2022
CV Writing and Career Development Workshop
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