UnitLevel 5Postgraduate

ACO5160 Introduction to accounting analytics

Faculty of Business and Economics

ACO5160 Introduction to accounting analytics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2023. It has no prerequisites.

Credit points
6
Offered in 2023
Other periods
Monash Online
Assessment
No exam
1 task
Workload
144 hours
per semester

This is the 2023 handbook entry. See the 2027 entry.

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Requisites

Before ACO5160

No prerequisites or corequisites besides the enrolment rules below.

After ACO5160

No unit lists ACO5160 as a prerequisite in the 2023 handbook.

Enrolment rules

You must be enrolled in course A6032, B4008, B6025, B6028 or in a Monash Online course to undertake this unit.

Overview

This unit brings together accounting and data analytics that are integral to facilitating decision making. Learning centres on developing skills and expertise in data analytics for accounting and business intelligence. The unit will describe the IMPACT cycle of data analytics (identify the questions; master the data; perform test plan; address and refine results; communicate insights; track outcomes), with the process practiced in accounting contexts. Through considering how big data, artificial intelligence and robotics are impacting and shaping accounting, financial reporting and auditing, you will develop skills in summarising findings and constructing visualisations that can be shared with stakeholders. In so doing, you will identify questions, download data from, typically, enterprise databases using SQL and other methods, perform testing using common business applications such as Excel and PowerBI, and communicate the results in a hands-on environment.

Offerings in 2023

Teaching periodCampusMode
Teaching period 2Monash OnlineMo
Teaching period 4Monash OnlineMo

Assessment

  • Within semester assessmentThreshold hurdle
    100%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    understand the basic characteristics of data in accounting, including audit data and data derived from financial statements

  2. 2

    explain the role of data analytics in accounting and apply the steps involved in data preparation and cleaning

  3. 3

    develop skills in using and analysing data to answer questions

  4. 4

    construct visualisations and summaries of data that can be shared with stakeholders

  5. 5

    develop skills associated with use of a business intelligence/data analytics tool.

Workload and teaching

  • Tutorials18 hours
  • Lectures18 hours

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment, and preparation for scheduled activities. The unit requires on average six hours of scheduled activities per week. Scheduled activities may include a combination of teacher-directed learning, peer directed learning, and online engagement.

Contacts

Chief Examiners
Dr Jacob Raleigh

Common questions

What are the prerequisites for ACO5160?

ACO5160 has no prerequisites, but enrolment rules apply.

When is ACO5160 offered?

ACO5160 has no offerings listed in the 2023 handbook.

How much work is ACO5160?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does ACO5160 have an exam?

No. ACO5160 has 1 assessment task and no exam.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Business and Economics
Organisational unit
Department of Accounting
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 4
Study abroad
Not available
Handbook years
2021202220232024202520262027