Handbook home
Data Analysis (BUSA90060)
Graduate courseworkPoints: 12.5On Campus (Parkville) and Dual-Delivery (Parkville)
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
April
July
September
Overview
Availability(Quotas apply) | January - Dual-Delivery April - Dual-Delivery July - On Campus September - On Campus |
---|---|
Fees | Look up fees |
Contemporary business is awash in data. Modern business processes and activities usually involve multiple streams of data from areas as diverse as marketing activities, operational processes and financial activities. Therefore, managers are frequently confronted with how to harness these to understand their business better, so that they can make more informed decisions. This subject provides the fundamental quantitative skills necessary for an MBA student to extract information from data, through quantitative analysis, to make better managerial decisions. Students will be familiarized with the tools of quantitative analysis, develop the necessary skills for analytical thinking and a quantitative mind set in measuring performance. The fundamental quantitative skills from this subject provide a foundation to the advanced subjects within the MBA and provide students an analytical framework towards solving managerial problems later in their career.
Intended learning outcomes
On completion of this subject, students should be able to:
- Analyse and summarise multivariate data clearly using Excel
- Apply the principles of statistical variation in data analysis.
- Select appropriate performance metrics based on statistical principles
- Combine multiple performance metrics quantitatively.
- Distinguish between correlation and causation in statistical analyses
- Construct relevant statistical models from ambiguous business problems
- Undertake regression analysis to quantify complex relationships between multiple explanatory variables and a response variable
- Identify elements from regression output that are directly relevant to a business problem or question.
- Identify and model nonlinear effects and interactions in regression models
- Measure and articulate statistically significant relationships between variables
- Apply quantitative methods and analyses to identify optimal decision strategies and risks
- Evaluate the robustness and appreciate the limitations of data analyses
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90480 | Leadership |
September (On Campus - Parkville)
Summer Term (Dual-Delivery - Parkville)
March (Dual-Delivery - Parkville)
March (Dual-Delivery - Parkville)
June (On Campus - Parkville)
|
6.25 |
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: 3 November 2022
Assessment
April
Description | Timing | Percentage |
---|---|---|
15 x Class preparation exercises (equivalent of individual 300 words)
| Throughout the teaching period | 15% |
Mid-term test
| Week 5 | 20% |
Syndicate assignment (equivalent of individual 500 words)
| Week 10 | 25% |
Final Examination
| End of the teaching period | 40% |
Additional details
EMBA:
- Individual assignment (10%)
- 500 words
- Week 3
- Quiz (20%)
- 30 minutes
- Week 4
- Syndicate project
- Report (1500 words, week 7) (20%)
- Presentation (15 minutes, week 8) (10%)
- Final Exam (40%)
- Hurdle requirement
- 90 minutes
- End of subject
Last updated: 3 November 2022
Quotas apply to this subject
Dates & times
- January - Dual-Delivery
Mode of delivery Dual-Delivery (Parkville) Contact hours 30 hours Total time commitment 140 hours Pre teaching start date 11 January 2021 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 18 January 2021 to 26 March 2021 Last self-enrol date 5 January 2021 Census date 29 January 2021 Last date to withdraw without fail 5 March 2021 Assessment period ends 2 April 2021 - April - Dual-Delivery
Mode of delivery Dual-Delivery (Parkville) Contact hours 30 hours Total time commitment 140 hours Pre teaching start date 5 April 2021 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 12 April 2021 to 18 June 2021 Last self-enrol date 23 March 2021 Census date 23 April 2021 Last date to withdraw without fail 28 May 2021 Assessment period ends 25 June 2021 April contact information
- July - On Campus
Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 140 hours Pre teaching start date 28 June 2021 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 5 July 2021 to 10 September 2021 Last self-enrol date 22 June 2021 Census date 16 July 2021 Last date to withdraw without fail 20 August 2021 Assessment period ends 17 September 2021 July contact information
- September - On Campus
Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 140 hours Pre teaching start date 20 September 2021 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 27 September 2021 to 3 December 2021 Last self-enrol date 14 September 2021 Census date 8 October 2021 Last date to withdraw without fail 12 November 2021 Assessment period ends 10 December 2021 September contact information
Additional delivery details
This subject is only available to students admitted to GD-BA, MC-BAPT, MC-BAPTME, 294PN, or permission of the MBA course coordinator
This subject has a quota of 80 students. Students will be selected on a first come, first serve basis. However if any student is approaching their completion date, they will get priority in enrolment.
This subject is equivalent to BUSA90061 in MC-BAPTME
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Subject notes
This subject is only available to students admitted to GD-BA, MC-BAPT, MC-BAPTME, 294PN, or permission of the MBA course coordinator
- Related Handbook entries
This subject contributes to the following:
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022