ACC544 Decision Support Tools (8)

This subject focuses on the application of quantitative management tools to data analysis in order to assist management decision makers in organisations. It introduces relevant statistical, operations research and operations management techniques which can be used to enhance the ability of managers to make informed decisions. Use is made of computer software designed to support the decision making function.


Session 1 (30)
On Campus
CSU Study Centre Brisbane
CSU Study Centre Melbourne
CSU Study Centre Sydney
Wagga Wagga Campus

Continuing students should consult the SAL for current offering details: ACC544. Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System



One session


School of Accounting and Finance

Enrolment Restrictions

Postgraduate students only. Not available to students who have completed ACC513.

Subject Relationships

ACC513 Subjects have significant overlapping content

Incompatible Subjects


Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to demonstrate problem-solving skills in assessing, organising, summarising and interpreting relevant data for decision making purposes;
  • be able to apply decision theory to business situations;
  • be able to explain the use of simulation in complex decisions;
  • be able to apply probability concepts to decision making;
  • be able to demonstrate understanding of the application of statistical hypothesis testing to decisions, with particular emphasis on quality control and interpreting the significance of regression coefficients in cost estimation;
  • be able to use accepted time-series forecasting methods;
  • be able to apply cost-volume-profit analysis and linear programming to product mix decisions; and
  • be able to solve scheduling problems.


This subject will cover the following topics:
  • Probability concepts and distributions
  • Statistical decision making and quality control
  • Decision analysis uncertainty and risk
  • Value of information via Bayes’ Theorem in improving decisions
  • Simulation for solving complex problems
  • Correlation and regression analysis (emphasis on accounting data)
  • Forecasting techniques
  • Product mix decisions using cost-volume profit and linear programming techniques
  • Inventory control using EOQ and JIT approaches
  • Project management using network analysis.

Indicative Assessment

The following table summarises the assessment tasks for the online offering of ACC544 in Session 2 2020. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).

Item Number
Value %
Online tests
Case study part 1
Case study part 2

The information contained in the CSU Handbook was accurate at the date of publication: May 2021. The University reserves the right to vary the information at any time without notice.