units

MBA5707

Faculty of Business and Economics

print version

This unit entry is for students who completed this unit in 2016 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.

6 points, SCA Band 3, 0.125 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Business and Economics

Organisational Unit

MBA Program

Coordinator(s)

Professor Robert Brooks

Offered

Caulfield

  • MBA Teaching Period 1 2016 (On-campus block of classes)

Synopsis

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.

Outcomes

The learning goals associated with this unit are to:

  1. build the analytical skills of the student through their understanding and applying a range of data analysis techniques
  2. develop an understanding of how to interpret statistical findings and draw relevant insights in a business context
  3. enhance report writing skills by developing an understanding of the process of preparing a business report based on insight gained from statistical analyses
  4. enhance communication, interpersonal, problem solving and critical thinking capabilities
  5. develop capabilities to be future generators of sustainable economic, social and environmental value for business.

Assessment

Within semester assessment: 50%
Examination: 50%

Workload requirements

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

Chief examiner(s)

Co-requisites

Students must be enrolled in 0028 to undertake this unit.