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ACCT360 Advanced Accounting Analytics

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Advanced topics in accounting analytics with an emphasis on applying contemporary tools for accountants such as Power BI, Alteryx and Tableau to identify business problems, analyse, forecast and visualise data.

Data and analytics are transforming business and have major implications for the role of accountants. Accountants are expected to go beyond their traditional role to become business advisors in this fast-changing environment.
Enrol in ACCT 360 and grasp job-ready knowledge around Power BI, Alteryx, other software and contemporary analytics techniques currently used in the big four accounting firms, in order to be well-prepared for and best suited to the transition of the accountancy profession.

Paper title Advanced Accounting Analytics
Paper code ACCT360
Subject Accounting
EFTS 0.15
Points 18 points
Teaching period Semester 1 (On campus)
Domestic Tuition Fees Tuition Fees for 2022 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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Prerequisite
ACCT 260 and a further 72 200-level points
Schedule C
Commerce
Contact

accountancyfinance@otago.ac.nz

Teaching staff

Dr Hoa Luong

Paper Structure

Core topics are

  1. Identify a business problem using financial and non-financial information
  2. Analytics for branches of accounting
  3. Visualisation, dashboard and storytelling
Teaching Arrangements

This paper is taught through lectures and computer labs.

Textbooks

No textbooks are required for this paper.

Graduate Attributes Emphasised

Critical thinking, Information literacy, Communication, Team work
View more information about Otago's graduate attributes.

Learning Outcomes

Students who successfully complete the paper will be able to:

  1. Demonstrate enhanced capabilities to integrate and apply analytical techniques and accounting knowledge to identify business problems
  2. Critically evaluate the suitability of data and apply advanced techniques to prepare it for further analysis
  3. Use judgment to select and apply appropriate analytical tools such as Power BI, Alteryx and Tableau in contexts
  4. Demonstrate competence in identifying and applying analytics techniques to analyse, determine cause, make forecasts and recommend course of action
  5. Demonstrate enhanced capabilities to incorporate financial and non-financial information to draw conclusions and translate insights into concrete business actions
  6. Efficiently and effectively visualise and communicate results of data analyses to stakeholders

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Timetable

Semester 1

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Computer Lab

Stream Days Times Weeks
Attend
A1 Thursday 14:00-15:50 10-15, 17-22

Lecture

Stream Days Times Weeks
Attend
A1 Monday 14:00-15:50 9-15, 17-22