Overview
The course offers a broad interdisciplinary perspective on econometrics, data science, statistical and machine learning methods through the lens of econometric theory and applications. The course emphasises the links between the theory, computational methods, and the application of the models to real examples. Being equipped with this knowledge will enable … For more content click the Read More button below.
Conditions for Enrolment
Prerequisite: ECON3209 or MATH2801 or MATH2901 or Enrolment in FINSBH Finance Co-Op Honours or Enrolment in FINSD1 Finance Co-Op
Delivery
In-person - Standard (usually weekly or fortnightly)
Fees
Type | Amount |
---|---|
Commonwealth Supported Students (if applicable) | $556 |
Domestic Students | $6420 |
International Students | $6420 |
Pre-2019 Handbook Editions
Access past handbook editions (2018 and prior)