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A course mapper by Monash Association of Coding (MAC)

Data mining and predictive modelling

Level 3S1·S2

About

This unit will cover the key concepts of predictive modelling, emphasising applications in business. You will learn data pre-processing skills for predictive modelling. You will access data from various sources and be exposed to hands-on practice by studying industrial cases. You will become acquainted with popular supervised machine learning methods and gain sufficient confidence to make decisions based on data.

Offered in 2026

Semester 1Malaysia· ON-CAMPUS
Semester 2Malaysia· ON-CAMPUS

Prerequisites

any of

ETM1030Mathematical statistics

AMU2453Research methods in the arts and social sciences

ETW1001Introduction to statistical analysis

FIT2086Modelling for data analysis

SCI1020Introduction to statistical reasoning

Prohibitions

any of

ETX3250Predictive analytics and machine learning

ETC3555Statistical machine learning

Data mining and predictive modelling

ETW3482

Synopsis

Sourced from the Monash Handbook 2026.

Quick facts

Credit points: 6
Level: 3
Audience: Undergraduate
Type: Coursework
School: Faculty of Business and Economics
Faculty: Department of Econometrics and Business Statistics
Handbook year: 2026

Prerequisites (5)

Research methods in the arts and social sciencesAMU2453
Mathematical statisticsETM1030
Introduction to statistical analysisETW1001
Modelling for data analysisFIT2086
Introduction to statistical reasoningSCI1020

What it unlocks

Nothing in the visible graph depends on this unit.

Offerings (2)

First semesterMalaysia · ON-CAMPUS
Second semesterMalaysia · ON-CAMPUS

Listed in 4 areas of study

Business analyticsCore units
Business analyticsMalaysia additional units
FinTechMajor requirements
FinTechCore units