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Bayesian Statistical Learning (MAST90125) // Eligibility and requirements
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Eligibility and requirements
Prerequisites
MAST20005 and any third-year subject in statistics or stochastic processes.
These may include: MAST30001 Stochastic Modelling, MAST30025 Linear Statistical models, MAST30027 Modern Applied Statistics, MAST30020 Probability for Inference
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: 3 November 2022