1. Handbook
  2. Subjects
  3. Quant. Decision Making & Optimisation
  4. Print

Quant. Decision Making & Optimisation (BISY90017)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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


Year of offer2019
Subject levelGraduate coursework
Subject codeBISY90017
Availability(Quotas apply)
FeesSubject EFTSL, Level, Discipline & Census Date

There are numerous mathematical methods used to obtain efficient solutions to a large variety of complex business problems. This subject provides students with the ability to formulate a business problem as a mathematical model, and then to use quantitative techniques to identify a solution to the model. Topics covered include linear programming, duality, integer programming, mixed integer programming, non-linear programming, critical path method, Monte Carlo simulations, decision trees, expected value of perfect information, sample information and control, and sensitivity analysis.

Eligibility and requirements


Enrolment in one of the Master of Business Administration courses and completion of 112.5 credit points of core subjects and 70% or above in the subject Data Analysis



Non-allowed subjects


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



Mid-term test (1.5 hours)Week 520% Syndicate assignment (equivalent to individual 500 words assessment)Week 830% Final examination (3 hours, hurdle requirement)End of term50%

Quotas apply to this subject

Dates & times

  • October
    Mode of deliveryOn Campus — Parkville
    Contact hours30 hours
    Total time commitment150 hours
    Pre teaching start date28 September 2019
    Pre teaching requirementsstudents are required to complete approximately 15 hours of reading to prepare for the subject during pre-teaching period
    Teaching period 5 October 2019 to 2 November 2019
    Last self-enrol date30 September 2019
    Census date11 October 2019
    Last date to withdraw without fail 8 November 2019
    Assessment period ends 2 December 2019

Further information

  • Texts

    Prescribed texts

    There are no specifically prescribed or recommended texts for this subject.

  • 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: 19 July 2019