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Mathematical Statistics (MAST90082) // Eligibility and requirements
Eligibility and requirements
Prerequisites
Students must meet one of the following prerequisite options:
Option 1
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST20005 | Statistics |
Summer Term (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
AND
12.5 credit points of level 3 subject in statistics or stochastic processes which could include one of the below:
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST30001 | Stochastic Modelling | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST30025 | Linear Statistical Models | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST30027 | Modern Applied Statistics | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST30020 | Probability for Inference | Semester 1 (On Campus - Parkville) |
12.5 |
Option 2
Admission into the MC-DATASC Master of Data Science
AND
MAST90104 A First Course In Statistical Learning
Corequisites
None
Non-allowed subjects
None
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: 8 November 2024