School of Accountancy

Artificial Intelligence (AI) has been transforming how accountants interact with data, make decisions, and deliver insights since the return of AI Spring in the late 2010s. As these technologies evolve from passive tools into agent interfaces that work alongside professionals, accounting graduates need to be equipped to work effectively with them, and to remain professionally responsible for the output AI produces. 

This course develops a functional understanding of AI with an emphasis on practical application in accounting. Students will engage with a range of accounting use cases and gain hands-on experience building simple AI-enabled solutions to real-world problems. 

The course will introduce core concepts in AI (both analytical and generative AI) and modern agent interfaces, including how outputs can be shaped through effective prompting, how agent-enabled workflows are designed, and the considerations involved in using AI responsibly and ethically in professional settings. A recurring theme in the course is the concept of the accountant as an AI auditor. Accountants remain professionally responsible for AI output and must be able to review, verify, and judge it before relying on it in accounting work. 

By the end of the course, students will be better prepared to adapt to the changing nature of accounting work, equipped with the mindset and foundational capabilities to work alongside AI and respond to evolving technologies. Each student will also leave the course with a portfolio of AI-enabled builds completed during the term.

This course explores how data can be used to solve problems across financial accounting, managerial accounting, and audit contexts. Students will gain exposure to techniques to explore how financial and non-financial data is used to forecast events, detect financial discrepancies and frauds, predict corporate default, optimize operations, and determine business strategy. Some programming and data visualisation skills will be required to draw insights from large volumes of data. Advanced analytics methods such as text analytics, neural networks and deep learning will also be introduced. This course has been designed to equip students with an analytics mind-set to develop analytics strategies and make better business decisions.

Accountants regularly work with large amounts of financial and non-financial data. Data modelling is an important means through which accountants can analyse such data for trends, patterns, relationships, and other useful information for decision making. This course will introduce a variety of quantitative techniques used in the development, implementation, and utilization of analytical data models that accountants regularly use in decision making. It will cover techniques including regression analysis, trend analysis, optimization, text analytics, and simulation. 

Visualization provides an important means through which accountants can communicate insights obtained via data modelling to their intended recipients. Well-designed visualisations can improve the memory, comprehension, and decision making of intended recipients of this information. This course will introduce students to key principles and techniques for data visualization. Students will create visuals including dashboards and interactive visualisations for decision making in the accounting context. 

Traditionally, the accounting function’s role is always viewed as that of a steward, the control centre for the organisation, rather than the catalyst for enterprise growth. The term ‘back office’ is often used to describe the operating nature of accounting function. So in today’s volatile global business environment, the key challenge for accounting function is how to lead the enterprise in its growth strategies while ensuring effective risk management and stewardship of the enterprise. With complexity and data proliferation, increasingly the CEO and the board turn to accountants to help make sense of all the data, to help cut through this complexity, and to provide more informed analysis on the business and its operation. 

The opportunity for accounting function is if it can generate the insights that help make better corporate decision making, while continuing to ensure effective control of the enterprise, its reputation as a catalyst for growth will be guaranteed. To do so, traditional accounting departments may have to transform themselves into ‘intelligent accounting functions’. Intelligent accounting functions run their operations as cost effectively as possible, leveraging technology to reduce finance operating costs; strengthen stewardship and control so as to establish a solid foundation to support growth. The biggest challenges, however, lie in creating the efficiencies needed to gather and process basic financial data and continue to deliver traditional finance outputs while at the same time redeploying their limited resources to enable higher-value business decision support activities.

This accounting analytics practicum which adopts SMU-X approach, focuses on a few key topics that are vital to establishing an intelligent accounting function (refer to the diagram below): finance strategy and transformation, lean finance and finance shared services, business intelligence analytics, and enterprise process management. In this experiential learning course, students from various disciplines learn what comprises a highly optimised accounting process, design an end-to-end process management and explore the underlying accounting IT systems and advanced data analytical applications. 

By working closely with instructors from accounting and information systems disciplines, together with an industry partner, students are expected to carry out design and development of an intelligent accounting function solution. The whole idea is to engage students in real-life application and to encourage students to creatively apply concepts to practical problems in their pursuit of solving real-world problems. Students will apply the concepts in real projects. 

This course is designed to provide a broad base coverage of financial accounting, management accounting and taxation topics that are relevant to (future) business owners and entrepreneurs. Business owners and entrepreneurs need the general foundation to help plan and control business operations and finance as well as discussing and negotiating with other stakeholders of the business. This course is suitable for students who do not have prior knowledge in accounting and business. Therefore, this course may also act as a stimulator for students to pursue more advance courses in accounting and finance related topics available in SMU.

This course examines IT systems and environment used to support the business processes common across various industries. The course helps to recognize how IT affects flows of business transactions, identify relevant technology elements, and assess risks arising from IT elements. Topics in the course will include the understanding, identifying and testing relevant to GITC (General IT Controls) and evaluate deficiencies in GITCs and assess the impact of GITC deficiencies on the audit. Moreover this course will also touch upon ways in which IT audit report documentation is done and audit observations are assessed, handled and addressed. Lastly the course will also give an overview of regulatory guidelines in place for technology risk management, outsourcing risk and business continuity management stipulated by Monetary Authority of Singapore (MAS). The course will use class activities, case study, real world examples and group discussions to increase the practicality of the knowledge content. Course is a perfect blend for individuals who are willing to learn about the IT elements considered in audit and compliance assessments.

Accountants regularly work with large amounts of financial and non-financial data. Data modelling is an important means through which accountants can analyse such data for trends, patterns, relationships, and other useful information for decision making. This course will introduce a variety of quantitative techniques used in the development, implementation, and utilization of analytical data models that accountants regularly use in decision making. It will cover techniques including regression analysis, trend analysis, optimization, text analytics, and simulation.

Traditionally, the accounting function’s role is always viewed as that of a steward, the control centre for the organisation, rather than the catalyst for enterprise growth. The term ‘back office’ is often used to describe the operating nature of accounting function. So in today’s volatile global business environment, the key challenge for accounting function is how to lead the enterprise in its growth strategies while ensuring effective risk management and stewardship of the enterprise. With complexity and data proliferation, increasingly the CEO and the board turn to accountants to help make sense of all the data, to help cut through this complexity, and to provide more informed analysis on the business and its operation. The opportunity for accounting function is if it can generate the insights that help make better corporate decision making, while continuing to ensure effective control of the enterprise, its reputation as a catalyst for growth will be guaranteed. To do so, traditional accounting departments may have to transform themselves into ‘intelligent accounting functions’. Intelligent accounting functions run their operations as cost effectively as possible, leveraging technology to reduce finance operating costs; strengthen stewardship and control so as to establish a solid foundation to support growth. The biggest challenges, however, lie in creating the efficiencies needed to gather and process basic financial data and continue to deliver traditional finance outputs while at the same time redeploying their limited resources to enable higher-value business decision support activities. 

This accounting analytics practicum which adopts SMU-X approach, focuses on a few key topics that are vital to establishing an intelligent accounting function (refer to the diagram below): finance strategy and transformation, lean finance and finance shared services, business intelligence analytics, and enterprise process management. In this experiential learning course, students from various disciplines learn what comprises a highly optimised accounting process, design an end-to-end process management and explore the underlying accounting IT systems and advanced data analytical applications. By working closely with instructors from accounting and information systems disciplines, together with an industry partner, students are expected to carry out design and development of an intelligent accounting function solution. The whole idea is to engage students in real-life application and to encourage students to creatively apply concepts to practical problems in their pursuit of solving real-world problems. Students will apply the concepts in real projects.

This course is aimed at exposing students to recent development in sustainability accounting in the country that is the focus of the study trip. In addition, the trip will also provide students with an understanding of investment and business opportunities in the country, as well as the social, cultural, economic, and political environments under which companies operate. It will give students a better appreciation of the country’s macro-economic environment, its key industries, financial and capital markets, investment climate, and economic policies and systems. During the trip, students will visit companies and interact with executives and entrepreneurs. 

They will also be exposed to the country’s history, culture, traditions, and values as these play an important role in determining business and financial strategies and operations of companies. At the same time, this is an SMU-XO module, which offers an overseas experiential learning opportunity for students. The course allows students to translate classroom knowledge and theory into practical solutions for real organizations. In addition to visits to companies and organizations, student will also participate in a consultancy project. Through the project, students will learn how to solve real problems with guidance from the faculty and project sponsor mentors, from problem definition to final client presentation – while simultaneously testing their skills in real world settings. The project will focus on issues related to sustainability accounting that is faced by the accounting/finance and other functions of the companies in the country that will be visited and recommending/applying solutions to these problems. These issues (eg: implementation of sustainability reporting) are becoming very important for companies all around the world. Prior to the trip, students will be required to undergo intensive pre-trip preparations involving talks by experts, individual and team research of assigned topics, and project presentations and discussions.