Programmes Structure

The course provides students with the underlying concepts and foundations in data analytics and visualisation. Coverage includes acquiring, organising, analysing, and presenting large data sets. The course serves as an introduction to Python and Data Visualisation. No prior experience is needed for this course.

This course develops a conceptual framework for corporate decisions, focusing the responsibilities, concerns, and methods of analysis of the finance department. The course enables students to build firm valuation courses using a variety of valuation approaches. Emphasis is placed on discounted cash flows models in a variety of contexts to estimate intrinsic firm or project value.

This course covers major concepts, tools and techniques in managerial accounting. The emphasis is on the use of managerial accounting information for decision-making, planning, and controlling activities.

The course is to equip students as accountants to prepare financial statements and to interpret published financial statements for decision-making.

This course builds upon the foundation laid by ‘Preparing Financial Statements’. It will focus on the theory and practice of recording and analysing minority passive investments, fair value accounting, compound financial instruments, hedging, liabilities (including provisions, lease liabilities and deferred taxes) and shareholders’ equity (including share-based compensation) in firms’ financial statements. There will also be an in-depth coverage of earnings per share (EPS). This course is designed to provide students with the intellectual tools to not only understand and execute appropriate accounting procedures but to also analyze financial statements and accounting information from the perspectives of managers, shareholders and auditors.

The course provides accounting students with the tools needed to perform statistical analysis and manage accounting information. Coverage includes machine learning tools, the choice among different types of statistical analysis, and analysing large datasets. The course uses Python to address specific questions using both internal and external accounting data.

Banks play an important role in providing liquidity to the economy, facilitating trade and commerce, and providing credit to businesses and individuals. The global financial crisis has led to tighter regulations by Central Banks, these banking regulations are punitive for banks who fail to comply. Banks are in the business of managing risks. This course seeks to provide students with an understanding of the key risks that banks manage, as well as the key regulations which banks are required to comply.

The course enables students who have knowledge in accounting, finance and strategic management to perform meaningful analyses of a firm in arriving at appropriate estimates of its intrinsic value.

This course aims to provide an overview and appreciation of the different types of M&As, the unique M&A strategies involved and a cradle-to-grave dissection of the M&A process – from the perspectives of both the buyer and the seller. These include planning, due diligence, structuring, negotiations, deal closure, accounting and stakeholder management through the interaction of strategic, financial and sociocultural lenses. You will be learning the approach to identify and navigate the intricacies, uncertainties and subtleties of this highly dynamic process across strategy, financial targets and people respectively.

Through an industry internship or applied project, you will be able to engage in experiential learning in analysing and solving problems faced by peers in the accounting field.

These industry internships and applied projects will also enable you to acquire a variety of interpersonal and collaboration skills, particularly in understanding the impact of your actions on your colleagues and your companies.

These internships and applied projects are primarily self-sourced.