Faculty of Business
CODE
21052
SUBCODE
21052-FAM-PAM
ENTRY

Sept 2024 Entry

STUDY MODE
Mixed Mode
DURATION

1 year (Full-time)
2 years (Part-time)

CREDIT REQUIRED

30

FUND TYPE
Self-Financed
  • 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.

Application Deadline
Local - Mixed Mode
Sept 2024 Entry - Early Round Application Deadline: 2023-11-16 Main Round Application Deadline: 2024-04-30
Non-local - Mixed Mode
Sept 2024 Entry - Early Round Application Deadline: 2023-11-16 Main Round Application Deadline: 2024-04-30
About Programme
How to Apply
Aims & Characteristics

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:

  • 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.

  • Capitalising on opportunities offered by big data in solving accounting, finance and business problems.

Recognition & Prospects

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).

Curriculum

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)

  • Accounting for Business Analysis

  • Contemporary Issues in Accounting Information Systems

  • Investments

  • Principles of Corporate Finance

  • Quantitative Methods for Accounting and Finance

  • Applications of Computing and Technology in Accounting and Finance I

  • Business Analytics in Accounting and Finance

  • Financial Analysis and Valuation with Programming

  • Applications of Computing and Technology in Accounting and Finance II

 

Elective Subjects(any one) (3 credits)

  • Auditing Framework

  • Corporate Risk Management

  • Derivative Securities

  • Fixed Income Securities

  • Management Accounting

  • Security Analysis and Portfolio Management

  • Business Intelligence and Decisions

  • Data Structures and Database Systems

  • 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.

Credit Required for Graduation

30

Programme Leader(s)

Programme Director

Dr Feng TIAN​
PhD

Deputy Programme Director

Dr Justin LAW
PhD

Subject Area
Accounting and Finance Analytics
Entrance Requirements
  • 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.

 

Enquiries

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

Other Information
  • Suitable candidates may be invited to attend admission interviews.

  • Classes are normally scheduled on weekday evenings in three semesters (including an optional Summer Term) within an academic year.

  • 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.

Initial Registration Credits

6

Programme Leaflet

Please click here to download.

Tuition Fee

HK$325,500 per programme (HK$10,850 per credit) for local and non-local students

Student Message

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.

ZHANG Pengfei

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.

Dora LIU

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.

CHEN Junyu Ryan
Additional Documents Required
Transcript / Certificate

Copies of certificates and academic transcripts are required. 

Others

Copies of all relevant professional qualifications, e.g. membership(s) of the HKICPA, AICPA, ACCA, CPA Australia, etc (if any). 

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