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Data Analysis (BUSA90060)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable (login required)(opens in new window)
Contact information
April
July
September
Overview
Availability(Quotas apply) | January April July September |
---|---|
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: 31 January 2024
Eligibility and requirements
Prerequisites
Two of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90532 | Business Essentials |
January (On Campus - Parkville)
April (On Campus - Parkville)
|
25 |
BUSA90552 | Business Essentials |
September (On Campus - Parkville)
January (On Campus - Parkville)
April (On Campus - Parkville)
Summer Term (Online)
July (On Campus - Parkville)
|
12.5 |
BUSA90480 | Leadership |
September (On Campus - Parkville)
April (On Campus - Parkville)
Summer Term (On Campus - Parkville)
June (On Campus - Parkville)
April (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: 31 January 2024
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: 31 January 2024
Quotas apply to this subject
Dates & times
- January
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 140 hours Pre teaching start date 8 January 2024 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during the pre-teaching period Teaching period 15 January 2024 to 22 March 2024 Last self-enrol date 8 January 2024 Census date 2 February 2024 Last date to withdraw without fail 1 March 2024 Assessment period ends 29 March 2024 - April
Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 140 hours Pre teaching start date 1 April 2024 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 8 April 2024 to 14 June 2024 Last self-enrol date 1 April 2024 Census date 19 April 2024 Last date to withdraw without fail 24 May 2024 Assessment period ends 21 June 2024 April contact information
- July
Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 140 hours Pre teaching start date 24 June 2024 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 1 July 2024 to 6 September 2024 Last self-enrol date 14 June 2024 Census date 12 July 2024 Last date to withdraw without fail 16 August 2024 Assessment period ends 13 September 2024 July contact information
- September
Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 140 hours Pre teaching start date 16 September 2024 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 23 September 2024 to 29 November 2024 Last self-enrol date 6 September 2024 Census date 4 October 2024 Last date to withdraw without fail 8 November 2024 Assessment period ends 6 December 2024 September contact information
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
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: 31 January 2024
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:
Type Name Course Master of Marketing Course Master of Business Administration Course Master of Marketing Course Master of Business Administration Course Graduate Diploma in Business Administration Course Master of Marketing Course Master of Engineering Management - 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: 31 January 2024