1. Handbook
  2. Subjects
  3. Quantitative Methods 1
  4. Print

Quantitative Methods 1 (ECON10005)

Undergraduate level 1Points: 12.5On Campus (Parkville)

You’re viewing the 2019 Handbook:
Or view archived Handbooks


Year of offer2019
Subject levelUndergraduate Level 1
Subject codeECON10005
Semester 1
Semester 2
FeesSubject EFTSL, Level, Discipline & Census Date

This subject covers the core concepts which underpin quantitative decision analysis in the various specialisations within the faculty. It provides a foundation for all second-year quantitative subjects in the commerce degree. The topics covered are drawn from financial mathematics; measures of location and dispersion; probability, random variables and expected values; sampling design; estimation and testing using the normal and t-distribution; and simple regression and correlation. Excel is used to illustrate applications in accounting, economics, finance, management and marketing.

Intended learning outcomes

  • Graph economic data using methods that facilitate analysis.
  • Explain concepts relevant for summarising and interpreting data.
  • Explain how the concepts of random variables and probability distributions are useful for drawing inferences.
  • Explain the concepts of population, samples and sampling distributions.
  • Estimate unknown population quantities and test hypotheses about them.
  • Conduct simple regression analysis to model the relationship between variables and draw inferences about relationships.
  • Apply common analytical techniques relevant for financial decision making.

Generic skills

  • High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources.

  • Moderate level of development: oral communication; written communication; critical thinking; receptiveness to alternative ideas.

  • Some level of development: collaborative learning; team work.

Eligibility and requirements


A study score of at least 25 in English (any) or equivalent and Mathematical Methods in VCE Units 3 & 4 or equivalent.


Entry into the Bachelor of Commerce.


Successful completion of

Code Name Teaching period Credit Points
MAST10012 Introduction to Mathematics
Summer Term
Semester 1



Non-allowed subjects

Students completing

Code Name Teaching period Credit Points
ECON10005 Quantitative Methods 1
Semester 1
Semester 2
may not gain credit for
Code Name Teaching period Credit Points
MAST10010 Data Analysis 1
Semester 2
Code Name Teaching period Credit Points
MAST10011 Experimental Design and Data Analysis
Semester 1
Semester 2

Students who have completed MAST20005 Statistics will not be permitted to enrol in this subject.

Students intending to major in Actuarial Studies should not enrol in this subject.

Recommended background knowledge

Please refer to Prerequisites and Corequisites.

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


  • A 45 minute mid-semester test in week 5
  • 45 minutes
Week 57.5%
  • Preparation work for and attendance of weekly tutorials
From week 2 to week 1210%
  • A 2-hour end-of-semester examination, end-of-semester
  • 120 minutes
  • Hurdle requirement: To pass this subject, students must pass the end of semester examination.
End of semester60%
  • A 45-minute mid-semester test in week 9
  • 45 minutes
Week 97.5%
  • Assignment 1: Quantitative data analysis assignment, not exceeding 8 pages (including graphs, charts and equations), due in week 6
  • 8 pages
Week 67.5%
  • Assignment 2: Quantitative data analysis assignment, not exceeding 8 pages (including graphs, charts and equations), due in week 10.
  • 8 pages
Week 107.5%

Dates & times

  • Semester 1
    Principal coordinatorsWasana Karunarathne and John Shannon
    Mode of deliveryOn Campus — Parkville
    Contact hoursTwo 1-hour lectures and a 1-hour tutorial per week
    Total time commitment170 hours
    Teaching period 4 March 2019 to 2 June 2019
    Last self-enrol date15 March 2019
    Census date31 March 2019
    Last date to withdraw without fail10 May 2019
    Assessment period ends28 June 2019

    Semester 1 contact information

  • Semester 2
    Principal coordinatorWasana Karunarathne
    Mode of deliveryOn Campus — Parkville
    Contact hoursTwo 1-hour lectures and a 1-hour tutorial per week
    Total time commitment170 hours
    Teaching period29 July 2019 to 27 October 2019
    Last self-enrol date 9 August 2019
    Census date31 August 2019
    Last date to withdraw without fail27 September 2019
    Assessment period ends22 November 2019

    Semester 2 contact information

Time commitment details

170 hours per semester

Further information

  • Texts

    Prescribed texts

    You will be advised of prescribed texts by your lecturer.

  • Breadth options

    This subject is available as breadth in the following courses:

  • Available through the Community Access Program

    About the Community Access Program (CAP)

    This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.

    Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.

  • Available to Study Abroad and/or Study Exchange Students

    This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.

Last updated: 12 July 2019