Unit of Study ACCT3003 Business Forecasting (2024)

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Unit Snapshot

Unit type

UG Coursework Unit
Credit points

12
Faculty & College

Faculty of Business, Law and Arts
Placement

No

Unit description

Provides students with the necessary knowledge and skills to effectively use business analytics to support decision making in the context of ‘big data’ as a strategic resource. As a ‘data-driven’ unit, students will be exposed to a variety of analytical techniques using software applications.

Unit content

Module 1: Introduction to Business Forecasting

Module 2: Simple linear regression

Module 3: Multiple linear regression

Module 4: Business Forecasting (Part I)

Module 5: Business Forecasting (Part II)

Module 6: Model Building

Availabilities

Location	Domestic	International
Gold Coast	Term3	Term3
Melbourne	N/A	Term3
Online	Term3	Term3
Perth	N/A	Term3
Sydney	N/A	Term3

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

Appraise the role of data analytics and implications of big data in helping organisations identify new opportunities and turn big data into a strategic resource.

Identify patterns and trends for transformation of big data into meaningful information for use to gain competitive advantage.

Apply statistical techniques using industry software to analyse relationships in the data for forecasting and evaluation purposes.

Evaluate and communicate results of analysis in a framework for translating data analysis into decision-making outcomes in a variety of business settings.

Teaching and assessment

Teaching method

Workshop 1 hour (Weekly)

Tutorial 2 hours (Weekly)

Assessment
Short written response	20%
Short written response	30%
Report	50%

Teaching method

Workshop 1 hour (Weekly)

Tutorial 2 hours (Weekly)

Assessment
Short written response	20%
Short written response	30%
Report	50%

Teaching method

Workshop 1 hour (Weekly)

Tutorial 2 hours (Weekly)

Assessment
Short written response	20%
Short written response	30%
Report	50%

Teaching method

Workshop 1 hour (Weekly)

Tutorial 2 hours (Weekly)

Assessment
Short written response	20%
Short written response	30%
Report	50%

Teaching method

Workshop 1 hour (Weekly)

Tutorial 2 hours (Weekly)

Assessment
Short written response	20%
Short written response	30%
Report	50%

Prescribed learning resources

Prescribed Texts

Berenson, ML, Levine, DM, Szabat, KA, Watson, J, Jayne, N & O’Brien, M, 2019, Basic Business Statistics: Concepts and Applications, 5th edn, Pearson, Melbourne, VIC. ISBN: 9781488617249.

Prescribed Resources/Equipment

No prescribed resources/equipment.

Prescribed Learning Resources may change in future Teaching Periods.

Fee information

Domestic

Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.

Fee paying courses
For postgraduate or undergraduate full-fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees.

Find out more for domestic fees