units
MBA5707
Faculty of Business and Economics
This unit entry is for students who completed this unit in 2014 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.
Level | Postgraduate |
Faculty | Faculty of Business and Economics |
Offered | Caulfield MBA Teaching Period 1 2014 (On-campus block of classes) |
Coordinator(s) | Professor Robert Brooks |
The first objective of this unit is for students to understand which data analysis technique is appropriate to address a business problem and then, with the support of the relevant software, to apply that technique. The second objective is for students to learn how to interpret the results and extract useful business insights. An applied approach will be taken. Topics covered include data description and summation, data mining, confidence intervals and hypothesis testing, regression analysis, time series and forecasting and decision making under uncertainty. Software used will be Microsoft Excel, with Palisade add-ins.
The learning goals associated with this unit are to:
Within semester assessment: 50%
Examination: 50%
Students must be enrolled in one of the following courses: 0028, 3184, 3185, 3189, 3190, 3196, 3198, 3839 or 3849.