Accounting Analytics Stream

BACKGROUND

Q: What is Data Analytics?

A: Businesses are now surrounded by data. In this contemporary business world, companies need to know how to evaluate data with the purpose of drawing conclusions to address business problems. Through this process, being known as data analytics, companies utilises technologies, systems, statistics and databases to solve problems and create value.

Q: Why does analytics matter to accountants?

A: Accountancy practitioners are surfing the opportunities of digital change. Management is urging to use data to conduct financial forecasts and projections and assess business risks in order to make long-term business decisions. Internal and external auditors also need to embrace technology which enhances the quality and accuracy of audit.

Q: What do CEOs think about Data Analytics?

AIMS AND LEARNING OUTCOMES

Q: Why are we offering the Accounting Analytics (AA) Stream?

A: Organisations are currently facing problems in translating a deluge of data into better decision making due to a shortage of skilled talent to handle data¹. While it is crucial to have data scientists and programmers to help corporations move towards artificial intelligence, it is equally important to have a team of business specialists who are capable of understanding data analytics and building a robust system to manage data.

The AA Stream does not aim to train students to become data scientists who are responsible for the hard-core data analytics or machine learning. Instead, the AA Stream focusses on the development of an analytics mindset emphasising the skills, tools and hands-on practice with cases.

¹ 22nd Annual Global CEO Survey, conducted by PwC in late 2018, with over 1,300 CEO in more than 90 territories
² Audit 2020: A Focus on Change, conducted by Forbes and KPMG

CURRICULUM

Required (3 units)		Elective (9 units, choose any three)
ACCT4242	Accounting Data Analytics for Business	ACCT3241	Introduction to Python for Business and Accounting Analytics Available as of 01/07/2024
		ACCT4213	Financial Statement Analysis and Valuation
		ACCT4232	Forensic Accounting and Audit Analytics
		ACCT4243	Data Visualization in Accounting
		ACCT4244	Blockchain Fundamentals for Accountants
		DOTE2021	Applied Econometrics for Business Decisions
		DOTE4020	Decision Modeling and Analytics
		DOTE4070	Data Management and Big Data Analytics
		DOTE4110	Economic Analytics
		DOTE4220	Data Mining for Business Intelligence
		DOTE4260	Business Processes Analytics

Course requirements are applicable to the latest year of admission. Students are advised to check in CUSIS for their applicable course requirements for stream declaration.

Students will declare the Accounting Analytics Stream at the last term of study when they are able to complete the coursework of the Stream.