Sept 2024 Entry
1 year (Full-time)
2 years (Part-time)
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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.
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 facilitates practitioners in accounting and finance to keep up with the latest data analytics applications and skills.
Characteristics
The programme emphasises:
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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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Capitalising on opportunities offered by big data in solving accounting, finance and business problems.
To obtain the MSc, students must complete 9 Compulsory Core Subjects (27 credits) and 1 Elective Subject (3 credits).
Those who are unable to complete the MSc programme may graduate with a Postgraduate Diploma upon completing the first 7 Compulsory Core Subjects (21 credits).
Students can pursue their studies within 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 of study will be subject to class quota availability.
The following is a summary of the core areas of study. Detailed information will be provided upon registration.
Compulsory Core Subjects (27 credits)
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Accounting for Business Analysis
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Contemporary Issues in Accounting Information Systems
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Investments
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Principles of Corporate Finance
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Quantitative Methods for Accounting and Finance
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Applications of Computing and Technology in Accounting and Finance I
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Business Analytics in Accounting and Finance
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Financial Analysis and Valuation with Programming
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Applications of Computing and Technology in Accounting and Finance II
Elective Subjects+ (any one) (3 credits)
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Auditing Framework
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Corporate Risk Management
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Derivative Securities
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Fixed Income Securities
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Management Accounting
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Security Analysis and Portfolio Management
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Business Intelligence and Decisions
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Data Structures and Database Systems
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Artificial Intelligence Concepts
Information on the subjects offered can be obtained at https://www.polyu.edu.hk/af/study/MAFA.
+ Not all subjects will be offered each year and it is subject to staffing resources and student enrolment.
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Programme Director
Dr Feng TIAN
PhD
Deputy Programme Director
Dr Justin LAW
PhD
- A Bachelor’s degree;
- Preference will be given to applicants with a business degree who are equipped with some fundamental training in computing or graduates with a background in computing, science or engineering.
Interested applicants with little or no work experience are encouraged to apply. Due to the limited intake quota for this programme, early application is strongly encouraged.
If you are not a native speaker of English, and your Bachelor's degree or equivalent qualification is awarded by institutions where the medium of instruction is not English, you are expected to fulfil the University’s minimum English language requirement for admission purpose. Please refer to the "Admission Requirements" section for details.
For further information, please contact:
Tel: (852) 3400 3229
Email: afafa@polyu.edu.hk
For information on academic matters, please contact:
Dr Justin LAW
Tel: (852) 2766 4443
Email: justin.law@polyu.edu.hk
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Suitable candidates may be invited to attend admission interviews.
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Classes are normally scheduled on weekday evenings in three semesters (including an optional Summer Term) within an academic year.
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Non-local students must obtain a valid student visa issued by the Hong Kong Immigration Department before being allowed to register as students or commence study with PolyU.
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HK$325,500 per programme (HK$10,850 per credit) for local and non-local students
The MSc in Accounting and Finance Analytics programme has given me a great opportunity to learn the latest data analytic skills. The Python programming and machine learning skills I have gained in the programme will definitely be helpful in my future career. This programme is a good choice for anyone who wants to improve their quantitative analytic skills in the fields of accounting and finance.
The MSc in Accounting and Finance Analytics provides the perfect platform for students to seize the opportunities brought by global technological transformation and the rise of big data. With the help of supportive professors, I was able to upgrade my professional knowledge and skills by undertaking well-designed practical projects. I would recommend this programme to anyone who wishes to develop an integrated understanding of accounting, finance, data analytics, and Python programming and equip themselves to excel in the job market.
In modern societies, big data analysis and computer science applications are becoming increasingly important in almost every industry. To enrich and deepen my understanding of modern accounting and finance, I applied for the MSc in Accounting and Finance Analytics.
I was absolutely right to choose MAFA. With its world-class faculty and input from leading practitioners, the programme equipped me with the insights and skills necessary to progress my career. I gained invaluable knowledge of computer science in relation to accounting and finance, such as contemporary accounting information systems, programming languages such as Python, machine learning, and other business intelligence tools. The programme also provided me with systematic training in and knowledge of accounting and finance, such as valuation, investment, and the analytical skills needed to solve business problems.
Future applicants should note that MAFA is a very high-content programme. The knowledge I harvested in just one year would take two or three years to obtain in other programmes. This knowledge will be very helpful in my future career.
Copies of certificates and academic transcripts are required.
Copies of all relevant professional qualifications, e.g. membership(s) of the HKICPA, AICPA, ACCA, CPA Australia, etc (if any).
