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

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

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