Singapore University of Social Sciences

Accounting Analytics

Accounting Analytics (ACC353)

Applications Open: 01 May 2024

Applications Close: 15 June 2024

Next Available Intake: July 2024

Course Types: Modular Undergraduate Course

Language: English

Duration: 6 months

Fees: $1551.36 View More Details on Fees

Area of Interest: Business Administration

Schemes: Alumni Continuing Education (ACE)

Funding: To be confirmed

School/Department: School of Business


ACC353 Accounting Analytics covers the application of data analytical methods and tools to assist accounting professionals in their analysis of accounting and other data. The course will equip the students with skills to integrate analytical methods with management and accounting knowledge. It will also enable them to understand Big Data and how it impacts accounting and business processes. The course will focus on analytics techniques for decision making and examining data in financial accounting, management accounting and auditing functions. Students will learn the basic knowledge and skills in selecting and applying software tools used in data analytics for accounting and related work.

Level: 3
Credit Units: 5
Presentation Pattern: EVERY JULY


  • Accounting data and Big Data
  • Source, storage and evaluation of accounting data
  • Data mining for accounting data
  • Framework for financial reporting and analysis
  • Analytics in financial accounting
  • Framework for managerial and cost accounting analysis
  • Analytics in managerial accounting
  • Analytics in business and other accounting areas
  • Framework for continuous auditing and monitoring
  • Analytics in tax reporting and compliance
  • Problem formulation for accounting analytics
  • Comprehensive case study

Learning Outcome

  • Discuss how Big Data is created, collected, stored, and accessed by technology.
  • Examine the veracity of sources of unstructured and structured data for use in analysis.
  • Employ data analytics techniques to analyse financial statements and understand implications of accounting policy and company performance.
  • Demonstrate data analytics techniques to analyse cost accounting data and for creating measures of operational profitability and performance.
  • Analyse accounting data to discover anomalies and identify potential control risks.
  • Analyse tax data to discover tax problems and improve fillings and compliance.
  • Execute data analytics techniques to solve accounting and business-related problems so as to improve business performance and make better decisions.
  • Examine and differentiate ethical issues related to data collection, storage, and use.
  • Interpret and communicate the findings of accounting analytics to both specialists and non-specialists.
  • Apply data analytic techniques to analyse accounting and related business datasets.
  • Assess case studies and develop and solve analytical problems based on case study data.
  • Use software packages to apply data analysis techniques.
  • Develop the essential knowledge and interpersonal skills to work effectively in a team.
  • Demonstrate proficiency in written and verbal communication skills.
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