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
Summer Term
Semester 1
12.5

OR both of

Code Name Teaching period Credit Points
MAST10014 Foundation Mathematics 1
Semester 1
12.5
MAST10015 Foundation Mathematics 2
Semester 2
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

Core participation requirements

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Student Equity and Disability Support website: http://www.services.unimelb.edu.au/disability

Last updated: 23 October 2017