1. Handbook
  2. Subjects
  3. Data Analysis 1
  4. Eligibility and requirements

Data Analysis 1 (MAST10010) // Eligibility and requirements

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Eligibility and requirements

Prerequisites

Study score of 25 or more in VCE Mathematical Methods 3/4 or equivalent

OR

Code Name Teaching period Credit Points
MAST10012 Introduction to Mathematics
Semester 1 (On Campus - Parkville)
Summer Term (Online)
 12.5

OR both of

Code Name Teaching period Credit Points
MAST10014 Foundation Mathematics 1
Semester 1 (On Campus - Parkville)
 12.5
MAST10015 Foundation Mathematics 2
Semester 2 (On Campus - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

Students may only gain credit for one of

  • MAST10010 Data Analysis 1
  • MAST10011 Experimental Design and Data Analysis
  • ECON10005 Quantitative Methods 1

Students who have completed any of the following may not enrol in this subject for credit

  • MAST20005 Statistics
  • MAST20017 Applied Statistics for Optometrists (prior to 2012)

Bachelor of Science students are permitted to complete a maximum of three level-1 Mathematics and Statistics subjects. They are not permitted to complete all four of MAST10005, MAST10006, MAST10007 and MAST10010

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: 20 May 2023