Data Analysis (BUSA90060)
Graduate courseworkPoints: 12.5On Campus (Parkville)
To learn more, visit 2023 Course and subject delivery.
About this subject
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 |
October (Online)
August (Online)
September (On Campus - Parkville)
July (Online)
July (On Campus - Parkville)
|
12.5 |
| BUSA90480 | Leadership |
June (On Campus - Parkville)
Winter Term (On Campus - Parkville)
March (On Campus - Parkville)
Summer Term (On Campus - Parkville)
October (Online)
September (On Campus - Parkville)
March (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 9 January 2023 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 16 January 2023 to 24 March 2023 Last self-enrol date 11 December 2022 Census date 27 January 2023 Last date to withdraw without fail 3 March 2023 Assessment period ends 31 March 2023 - April
Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 140 hours Pre teaching start date 3 April 2023 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 10 April 2023 to 16 June 2023 Last self-enrol date 3 March 2023 Census date 21 April 2023 Last date to withdraw without fail 26 May 2023 Assessment period ends 23 June 2023 April contact information
- July
Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 140 hours Pre teaching start date 26 June 2023 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 3 July 2023 to 8 September 2023 Last self-enrol date 2 June 2023 Census date 14 July 2023 Last date to withdraw without fail 18 August 2023 Assessment period ends 15 September 2023 July contact information
- September
Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 140 hours Pre teaching start date 18 September 2023 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 25 September 2023 to 1 December 2023 Last self-enrol date 25 August 2023 Census date 6 October 2023 Last date to withdraw without fail 10 November 2023 Assessment period ends 8 December 2023 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
- Subject notes
- Related Handbook entries
This subject contributes to the following:
Type Name 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 Marketing Course Master of Engineering Management - Available to Study Abroad and/or Study Exchange Students
Last updated: 31 January 2024