Predictive and Prescriptive Analytics unit (BMA748)

Melbourne Study Centre

Introduction

This unit explores the methodologies and applications of predictive and prescriptive analytics within business contexts. You will gain proficiency in forecasting techniques, predictive modelling, and the development of optimisation strategies for decision-making. The curriculum includes practical exercises in simulation and scenario analysis, equipping students with the skills to anticipate future trends and prescribe actions that align with business objectives. Emphasis is placed on the critical assessment of model effectiveness and the ethical implications of data-driven decisions. By the end of the unit, you will be able to construct, apply, and evaluate analytical models, preparing them for complex challenges in various business environments.

Summary

Unit name	Predictive and Prescriptive Analytics
Unit code	BMA748
Credit points	12.5
College/School	Tasmanian School of Business and Economics
Coordinator	Doctor Christopher Mabin
Delivered By	University of Tasmania and Third Party(ies): ECA
Level	Postgraduate

Availability

Location	Study period	Attendance options		Available to
Melbourne Study Centre	Accelerated Study Period 3
Melbourne Study Centre	Semester 1
Melbourne Study Centre	Semester 2

Note

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Key Dates

Study Period	Start date	Census date	WW date	End date
Accelerated Study Period 3	14/9/2025	7/10/2025	29/10/2025	13/12/2025
Semester 1	23/2/2025	24/3/2025	13/4/2025	31/5/2025
Semester 2	20/7/2025	18/8/2025	7/9/2025	25/10/2025

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2025 are indicative and subject to change. Finalised census dates for 2025 will be available from the 1st October 2024. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

• Construct predictive models and interpret their outcomes for business insights.
• Apply prescriptive analytics to recommend strategic business actions.
• Critically evaluate the effectiveness of different analytical models in various business scenarios.

Fee Information

Field of Education	Commencing Student Contribution 1,3	Grandfathered Student Contribution 1,3	Approved Pathway Course Student Contribution 2,3	Domestic Full Fee 4
080399	$2,124.00	$1,663.00	not applicable	$3,128.00

¹ Please refer to more information on student contribution amounts.
² Please refer to more information on eligibility and Approved Pathway courses.
³ Please refer to more information on eligibility for HECS-HELP.
⁴ Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Teaching

Assessment	Predictive Modelling Case Study (30%)|Simulation Exercise (30%)|Optimisation Project (40%)
Timetable	View the lecture timetable | View the full unit timetable

Textbooks

Required	Required readings will be listed in the unit outline prior to the start of classes.

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