1. Handbook
  2. Subjects
  3. Data Science Project Pt1
  4. Eligibility and requirements

Data Science Project Pt1 (MAST90106) // Eligibility and requirements

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Eligibility and requirements

Prerequisites

25 credit points from

Code Name Teaching period Credit Points
COMP20008 Elements of Data Processing
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
COMP90049 Introduction to Machine Learning
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
MAST90104 A First Course In Statistical Learning
Semester 2 (On Campus - Parkville)
 25
INFO90002 Database Systems & Information Modelling
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
 12.5

OR



Admission into:

• 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: 31 January 2024