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Quant Analysis for Managerial Decisions (MGMT90048)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Availability
June
July
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This subject involves skill building in statistical and decision analysis methods for managers, including probability, decision trees and linear programming, and correlation and regression techniques.

Intended learning outcomes

Students who successfully complete this subject should:

  • Understand the role of statistical analysis in managerial decision making
  • Appreciate decision modeling as a way of learning about commercial decisions
  • Understand utility and other models for understanding complex decisions
  • Be able to formulate linear programs to model business decisions
  • Appreciate a range of management science models

Generic skills

On successful completion of this subject students should have enhanced their skills in:

  • Ethical behaviour in leadership and organisations
  • Analysis and problem solving
  • Capacity for intellectual curiosity, creativity and independent thought
  • Communication of key ideas and theories within the discipline areas
  • Capacity for effective teamwork and collaboration
  • Information retrieval and application in relation to practical problems.

Last updated: 9 April 2024

Eligibility and requirements

Prerequisites

Entry into the Master of Enterprise.

Corequisites

None

Non-allowed subjects

None

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: 9 April 2024

Assessment

Additional details

  • Take-home exam, due on the Tuesday after the delivery (20%)
  • 1,500 word assignment, due four weeks after the delivery (30%)
  • 3,000 word field project, due eight weeks after the delivery (50%).

Last updated: 9 April 2024

Dates & times

  • June
    Principal coordinatorDaniel Samson
    Mode of deliveryOn Campus (Parkville)
    Contact hours20 hours of seminars taught intensively over 5 days 2 x 3 hour group case analysis sessions (held on two evenings from 6-9pm during the intensive week)
    Total time commitment170 hours
    Teaching period 5 June 2017 to 9 June 2017
    Last self-enrol date 6 June 2017
    Census date23 June 2017
    Last date to withdraw without fail21 July 2017
    Assessment period ends11 August 2017

    June contact information

    Email:d.samson@unimelb.edu.au

  • July
    Principal coordinatorDaniel Samson
    Mode of deliveryOn Campus (Parkville)
    Contact hours20 hours of seminars taught intensively over 5 days 2 x 3 hour group case analysis sessions (held on two evenings from 6-9pm during the intensive week)
    Total time commitment170 hours
    Teaching period10 July 2017 to 14 July 2017
    Last self-enrol date11 July 2017
    Census date28 July 2017
    Last date to withdraw without fail25 August 2017
    Assessment period ends15 September 2017

    July contact information

    Email:d.samson@unimelb.edu.au

Time commitment details

Estimated total time commitment of 170 hours per semester

Last updated: 9 April 2024

Further information

Last updated: 9 April 2024