Methods of Mathematical Statistics (MAST90105) // Eligibility and requirements
Eligibility and requirements
Prerequisites
Students must meet one of the following prerequisite options:
Option 1
One of
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST10006 | Calculus 2 | No longer available | |
| MAST10021 | Calculus 2: Advanced | No longer available |
AND
One of
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST10007 | Linear Algebra | No longer available | |
| MAST10022 | Linear Algebra: Advanced | No longer available | |
| MAST10010 | Data Analysis | No longer available | |
| MAST10011 | Experimental Design and Data Analysis | No longer available |
Option 2
Admission into one of the following:
- MC-DATASC Master of Data Science
- GD-DATASC Graduate Diploma in Data Science
Corequisites
None
Non-allowed subjects
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST20004 | Probability | No longer available | |
| MAST20005 | Statistics | No longer available | |
| MAST20006 | Probability for Statistics | No longer available |
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