The course covers the fundamental understanding of accounting and auditing data analytics.

■ Develops an analytical mindset supported by the provided toolkit to extract, transform, validate and visualise the data.

■ apply data analytics by auditors to evaluate firm data and generate support for management assertion,

■ to apply data analytics for measuring performance while the company is working toward the targeted goals,

■ to access and analyse the financial statement data, to familiarise with the XBRL taxonomy.

8 x 2-hour workshops and 2 x 2-hour tutorials

None

None

1. Written assignment, including essay; Individual; 2500 words; 75%; ILOs 1-5.
2. Oral assessment & presentation; Group; 15 minutes; 25%; ILOs 5-6.

It is the default expectation that all courses will offer opportunities for reassessment or deferred assessment. Where it is not possible to offer this in some assessment components, the grade achieved at the first attempt will be counted towards the final course grade, and any exceptions for this course are described below.

[No exceptions]

The aims of this course are:

■ develop general decision-making and problem-solving skills using data analytics methods and tools in accounting and audit context. 

■ develop the ability to model and evaluate business questions

■ present and refine findings using visualisation

1. Hypothesise business questions and use data analytics to answer those questions.

2. Obtain, transform, and extract reliable data from accounting systems and other sources. Critically evaluate data sources.

3. Make Model and evaluate the data using supervised and unsupervised approaches. 

4. Report and justify their analysis with appropriate visualisations for different stakeholders.

5. Be able to estimate predictive analysis for financial accounting, management accounting and auditing tasks.

6. Work collaboratively in a group to produce a combined piece of coursework, by liaising with other class members, allocating tasks and co-ordinating group meetings.