Master of Science in Accounting and Finance Analytics
會計及金融分析理學碩士學位


Sept 2021 Entry
Programme code: 21052

Duration & Credit Requirement

Duration & Credit Requirement


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

Fund Type
Self-Financed
Initial Registration Credits

6

Tuition Fee

HK$207,000 per programme (HK$6,900 per credit) for local students
HK$276,000 per programme (HK$9,200 per credit) for non-local students

Programme Leader(s)

Programme Director

Dr Tian Feng​
PhD

Programme Manager

Dr Justin Law
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 & Characteristics

Aims & Characteristics

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:

  • the skills and knowledge needed to perform data analytics in accounting and finance;
  • core knowledge in accounting and finance;
  • applications of data analytics in accounting and finance;
  • systematic training in and development of data analytics skills and ability to solve business problems in accounting and finance; and
  • the ability to exploit opportunities offered by big data to solve accounting, finance and business problems.

Recognition & Prospects

Recognition & Prospects

To obtain the MSc, students must complete 9 Compulsory Subjects and 1 Elective (30 credits).

 

Students may graduate with a Postgraduate Diploma (PgD) upon completing 7 Compulsory Subjects (21 credits).

Curriculum

Curriculum

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). In general, one evening class per week will be scheduled for each subject in Semesters 1 and 2.

 

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 of study will be subject to class quota availability.

 

The programme offers a semi-structured progression pattern, and students are encouraged to follow the pattern to benefit from a cohort-based study and to graduate within 1 year for the full-time option, or within 2 years for the part-time option.

 

Compulsory Subjects for MSc and PgD (21 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

 

Compulsory Subjects for MSc (6 credits)

  • Financial Analysis and Valuation with Programming
  • Applications of Computing and Technology in Accounting and Finance II

 

Elective Subjects for MSc (any one) (3 credits)+

  • Accounting and Financial Analytics Project
  • 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://af.polyu.edu.hk/study/master-programmes/afa.

 

+ Subject to the University's minimum enrolment requirement, not all subjects will be offered each year. Registration is subject to the availability of quota. The School of Accounting and Finance reserves the right to revise or withdraw the offer of any subject.

Entrance Requirements

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 of Study@PolyU for details.

 

Shortlisted candidates may be invited to attend admission interviews.

Other Information

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.

Enquiries

Enquiries

For further information, please contact:
Tel: (852) 3400 3229 or (852) 2766 4015
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

Student Message

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

Additional Documents Required

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). 


Info Seminar

Info Seminar

No information is available at present.

Programme Leaflet

Programme Leaflet

Please click here to download.