MonMap
A course mapper by Monash Association of Coding (MAC)
Applied forecasting
ETC3550
Synopsis
Business and economic data are collected over time against a backdrop of a changing environment. This unit introduces data wrangling and exploratory data analysis for such temporal context data. You will learn how to analyse, model and forecast time series data in diverse applications. Methods to be covered include the decomposition of time series, exponential smoothing methods, ARIMA modelling, and regression with auto-correlated disturbances. You will enhance your computational skills with exercises using R.
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 (8)
- Introductory econometricsETC2410
- Statistical thinkingETC2420
- Statistical modelling for actuarial studiesETC2560
- ETC3440ETC3440
- Introductory econometricsETF2100
- Data analysis in businessETF2121
- Statistical modelling for decision makingETW2510
- Modelling for data analysisFIT2086
What it unlocks (5)
- Advanced R programmingETC4500
- High dimensional data analysisETX3500
- MacroeconometricsETX4410
- MacroeconometricsETX5441
- High dimensional data analysisETX5500
Offerings (1)
- Second semesterClayton · BLENDED
Listed in 9 areas of study
- Actuarial studiesCore units
- Actuarial studiesAdditional actuarial studies units
- Business analytics for economicsSpecified discipline studies
- Business analyticsAdditional business analytics units
- Business analyticsAdditional business analytics units
- EconometricsCore units
- EconometricsAdditional econometrics units
- Macroeconomics and financial marketsSpecified discipline studies
- Mathematical economics and econometricsSpecified discipline studies