Accounting Analytics | Singapore University of Social Sciences

Singapore University of Social Sciences

Accounting Analytics (ACC353)

Applications Open: 01 April 2020

Applications Close: 14 June 2020

Next Available Intake: July 2020

Course Types: Modular Undergraduate Course

Language: English

Duration: 6 months

Fees: $1536 View More Details on Fees

Area of Interest: Business Administration

Schemes: To be confirmed

Funding: To be confirmed

School/Department: School of Business

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Synopsis

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

Topics

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
Issues in accounting analytics
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.
Execute data analytics techniques to solve accounting and business related problems so as to improve business performance and make better decisions.
Develop appropriate problem formulation for accounting and business data.
Examine and differentiate the business risks and 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 financial accounting, management accounting, and audit 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.