ACG512 Data Analysis for Financial Decision-making (8)

This subject focuses on the application of quantitative management tools to data analysis in order to assist management decision makers within organisations. It introduces relevant statistical, 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 analysis, reporting and decision making functions.

Availability

Session 2 (60)
On Campus
CSU Study Centre Brisbane
CSU Study Centre Melbourne
CSU Study Centre Sydney
Online
Bathurst Campus

Continuing students should consult the SAL for current offering details: ACG512. 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

HD/FL

Duration

One session

School

School of Business

Enrolment Restrictions

Postgraduate students only and not available to students who have completed ACC544

Prerequisites

ACG511 or ACC566

Subject Relationships

ACC544 Similar content

Incompatible Subjects

ACC544

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 from a variety of sources and apply critical thinking skills for decision making purposes;
  • be able to apply sustainability management accounting tools and decision theory to business situations;
  • be able to explain and use simulation and probability concepts for complex decisions;
  • 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,
  • be able to describe how information and communication technology advances that support data analysis, decision making, can enhances the efficiency and effectiveness of communication; and
  • be able to communicate clearly and concisely in a range of formal and informal situations and settings including delivering engaging presentations that persuade, motivate and inform stakeholders using a range of technologies and presentation strategies.

Syllabus

This subject will cover the following topics:
  • Decision theory
  • Simulation modelling
  • Probability concepts
  • Statistical hypothesis testing
  • Regression coefficients
  • Time-series forecasting methods
  • Cost- volume-profit analysis
  • Linear programming
  • Product mix decisions

Indicative Assessment

The following table summarises the assessment tasks for the online offering of ACG512 in Session 2 2021. 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
Title
Value %
1
Research project
10
2
Case study part 1
20
3
Case study part 2
10
4
Final exam
60

The information contained in the CSU Handbook was accurate at the date of publication: June 2022. The University reserves the right to vary the information at any time without notice.

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