Note: This is an archived Handbook entry from 2014.
|Dates & Locations:|| |
This subject is not offered in 2014.
|Time Commitment:||Contact Hours: A 2-hour lecture and a 1-hour tutorial per week |
Total Time Commitment:
Estimated total time commitment of 120 hours per semester
Entry into the Master of Management suite of programs.
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
|Core Participation Requirements:||
For the purposes of considering requests 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 for 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 Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/
The subject introduces students without a strong mathematical background to some of the methods used to collect, present and analyse data and to provide illustrative applications to decision problems faced by business managers. Topics will be chosen from: sources of data; sampling and collection of primary data; presentation and summary measures of data; random variation of data and some implications for hypothesis testing and forecasting; an introduction to decision models with uncertainty; the use and interpretation of estimated regression equations; some forecasting methods used by business.
On successful completion of this subject students should be able to:
|Prescribed Texts:|| |
You will be advised of prescribed texts by your lecturer.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On successful completion of this subject, students should have improved the following generic skills:
Graduate Diploma in Professional Accounting |
Master of Applied Commerce (Accounting)
Master of Applied Commerce (Business Analysis and Systems)
Master of Management (Accounting)
Master of Management (Business Analysis and Systems)
Master of Management (Economics)
Master of Management (Finance)
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