Second Major in Accounting Data and Analytics

Second Major in Accounting Data and Analytics

Accounting professionals of the future are architects of automation and are expert users of technologies to problem-solve, strategise, assess risks, predict trends, and more.  Be some of the first to graduate with a SMU Bachelor of Accountancy (Second Major in Accounting Data and Analytics) and shape YOUR future today.

Students studying the Second Major in Accounting Data and Analytics will take five compulsory modules in data technology to equip themselves with the basic analytics skill-sets. They will then apply these skill-sets in the accounting context by taking two accounting application electives. Lastly, students will complete a compulsory capstone module under the SMU-X experiential learning pedagogy.

Course Descriptions

Accounting Information Systems
Learn about the analysis, design and use of accounting information systems through key concepts such as the role of internal control in an accounting system; documentation of accounting information systems; database management, business processes and modeling; and the role of accounting information systems in major processes of the business cycle.

Data Management
Build a strong foundation in understanding fundamental data management concepts such as database design and implementation in current business information systems, and some basic concepts related to unstructured data.

Data Modelling and Visualisation

Learn how to automate and improve accounting processes. You will also use a visualisation software to analyse, model and present complex data via interactive dashboards for decision making in the accounting context.

Statistical Programming

Acquire knowledge in applying statistical theory for analysing data that is crucial to all four stages of analytics (descriptive, diagnostic, predictive and prescriptive) with the R programming language.

Introduction to Programming
Learn programming fundamental concepts and constructs, the building blocks of Information Systems, through Python, a widely-used, high-level, general-purpose and interactive programming language.

Accounting Analytics Capstone (SMU-X)

Experience real-life learning opportunity that allows you to translate classroom knowledge and theory into practical solutions for real organizations. Through this student consultancy project, you will learn to solve complex business problems with guidance from the faculty and project sponsor mentors, from problem definition to final client presentation in real world settings.


The elective courses listed below may not be offered every term.

Forecasting and Forensic Analytics
Explore how financial statement data and non-financial metrics can interact to forecast events, detect financial discrepancies and frauds, predict corporate default, optimize operations, and determine business strategy.

Analytics for Value Investing
Learn to develop statistical models and computerised algorithm to predict financial performance and distress risk of firms as well as to uncover securities to make evidence-based investing decisions. The skills taught in this course would be useful for students who wish to pursue a career in securities investing, asset management, investment analytics or financial consulting.

Analytics for Financial Instruments
Learn to extract financial data and use statistical tools to analyse important concepts related to the financial data using the various impairment models for the different financial instruments and how to apply them in practical situations. This module is suitable for students who wish to work for financial institutions.

Audit Analytics
Learn to apply data analytics in audit based on an underlying risk-based methodology with real-life examples. Through group projects, you will conceptualise the application of audit analytics in real-life companies through development of prototype dashboards with guidance provided by audit partners from Deloitte.

Information Systems Governance and Assurance
Gain understanding to access the primary controls required to manage the business and information security risks of business information systems to ensure the timely delivery and integrity of business processes and the protection of business data.

*More electives may be launched in the future.

SMU's School of Accountancy takes the lead in Asia to offer a suite of data analytics programmes to address industry needs.
SMU's School of Accountancy signs MoU with Deloitte to collaborate on Audit Analytics Programmes.

Last updated on 21 Feb 2018 .