1. Handbook
  2. Subjects
  3. Computational Statistics & Data Science
  4. Eligibility and requirements

Computational Statistics & Data Science (MAST90083) // Eligibility and requirements

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Eligibility and requirements

Prerequisites

Code Name Teaching period Credit Points
MAST30025 Linear Statistical Models
Semester 1 (On Campus - Parkville)
 12.5

OR


Note: the following subject/s can also be taken concurrently (at the same time):

One of

Code Name Teaching period Credit Points
MAST30027 Modern Applied Statistics
Semester 2 (On Campus - Parkville)
 12.5
MAST90104 A First Course In Statistical Learning
Semester 2 (On Campus - Parkville)
 25

OR


Admission into one of:


• Master of Data Science (MC-DATASC)- Statistics Background Stream

• Master of Data Science (MC-DATASC) - Data Science Background Stream


Corequisites


Non-allowed subjects


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