units
MBA5907
Faculty of Business and Economics
This unit entry is for students who completed this unit in 2015 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.
Level | Postgraduate |
Faculty | Faculty of Business and Economics |
Offered | Caulfield MBA Teaching Period 3 2015 (On-campus block of classes) |
Coordinator(s) | Professor Farshid Vahid |
The objective of this unit is for the executive to understand and apply data analysis techniques to address business problems through an applied approach. With the support of software, executives will learn how to apply various analytical tools but, more importantly, understand the findings and interpret their value in a business context. Sharing/communicating these analytically derived insights, so that they are readily accessible to, and actionable by management, is a further objective of this unit. 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%
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
See also Unit timetable information
Students must be enrolled in one of the following courses to undertake this unit: 3183, 3184, 3185, 3189, 3190, 3191, 3195, 3196, 3197, 3198, 3837, 3839, 3849, 0028 or 4437
MBA9007