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Unit of study_

Data Analytics for Accounting - ACCT3015

Year - 2019

This unit provides an overview of data analytics for accounting. Traditional accounting techniques and practices were developed in the industrial era (a low information environment) and have changed very little since. Financial reports tend to be historical and financial in nature, heavily aggregated, static and paper based. This unit considers how the mega-trend of 'Big Data', artificial intelligence and robotics is impacting and shaping current accounting, financial reporting and auditing practices and their likely impact on future practices. This UoS also explores how Big Data and artificial intelligence is currently used in accounting practice; and the potential of these techniques to shape future practices in specific areas such as accounting measurement and forecasting, audit sampling and the timing and frequency of reporting (as examples). The unit also introduces students to current accounting research in the field of Big Data and artificial intelligence.

Classes
1.5 hour lecture x 1, plus 1.5 hour tutorial x 1

Assessment
case study (30%); mid-semester examination (20%); final exam (50%)

Assumed knowledge
Completion of INFS3110 is desireable

Pre-requisites

ACCT2011 and ACCT2012

Details

Faculty: Business (Business School)

Semester 2

05 Aug 2019

Department/School: Accounting
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Aug 2019
Unit of study level: Senior
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? No
Location
Camperdown
Courses that offer this unit

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