Individual Research Project (BUSA90504) // Eligibility and requirements
About this subject
Contact information
August
Program Services
Eligibility and requirements
Prerequisites
Prerequisites
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| BUSA90543 | Natural Language Processing | May (On Campus - Parkville) |
12.5 |
| BUSA90542 | Machine Learning & AI for Business | May (On Campus - Parkville) |
12.5 |
| BUSA90541 | Predictive Business Analytics | May (On Campus - Parkville) |
12.5 |
| BUSA90540 | Causal Analytics for Business | May (On Campus - Parkville) |
12.5 |
| BUSA90539 | Business Data Platforms | March (On Campus - Parkville) |
12.5 |
| BUSA90538 | Decision Making and Optimisation | March (On Campus - Parkville) |
12.5 |
| BUSA90536 | Statistical Learning for Business | March (On Campus - Parkville) |
12.5 |
| BUSA90537 | Coding for Business Problems | March (On Campus - Parkville) |
12.5 |
AND
Students will need to organise approval from the Academic Director before enrolling in this research pathway subject
Corequisites
None
Non-allowed subjects
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| BUSA90502 | Analytics Lab | October (On Campus - Parkville) |
25 |
BUSA90502 Industry Practicum
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 4 March 2025