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Entrance Year Sept 2023

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 2023

Non-Local Application Deadline 30 Apr 2023

Programme Leaders

Programme Director

Dr Feng TIAN​
PhD

Deputy Programme Director

Dr Jingran ZHAO
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

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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:

  1. Knowledge and skills in data analytics.

  2. Core knowledge in accounting and finance.

  3. Applications of data analytics in accounting and finance.

  4. Systematic training and development of data analytics skills and capability in solving business problems in accounting and finance.

  5. Capitalizing on opportunities offered by big data in solving accounting, finance and business problems.

Message from Alumnus

This programme helped me to learn the latest data analytic skills. The python programming and machine learning skills I gained were definitely helpful for my work. The programme is a good choice for people who want to improve their quantitative analytic skills in accounting and finance fields.

ZHANG Pengfei

zhang_pengfei

MSc in Accounting and Finance Analytics programme provided me with a valuable platform to take advantage of the world's technological transformation and opportunities in the growing field of big data. I was able to greatly enhance my professional knowledge and skills with the help of supportive professors and by doing their designed practical and quality projects. I would recommend this programme to anyone who wishes to develop a combined knowledge in accounting, finance, data analytics and Python programming and be well prepared for the job market.

Dora LIU

Liu Tianmeidou Dora

With the expertise of world-class faculty and leading practitioners, the MSc in Accounting and Finance Analytics programme provided me with systematic training, knowledge and insights to progress my career, including analysis, programming, valuation, information system, and so on, allowing me go further and deeper in the field of Accounting and Finance.

CHEN, Junyu Ryan

Chen Junyu Ryan_v2
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Subject Syllabi
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General Enquiries
(852) 3400 3229
afafa@polyu.edu.hk

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