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Data Analysis (BUSA90061)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | July |
---|---|
Fees | Look up fees |
Contemporary business is awash in data. Modern businesses’ 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. Data analysis is the process of converting such raw data into meaningful information to inform business decision-making.
This subject provides an introduction to the fundamental data analysis skills and techniques that are used in contemporary business and management. These skills are essential both for later MBA subjects, and also for solving managerial problems in your later career. The course is computer based and students are required to perform all manipulations and computations themselves.
Intended learning outcomes
On completion of this subject, students should be able to apply quantitative methods in management decision making processes. Specifically they should be able to:
- find probablities for normal distributions
- compute a confidence interval for a mean, proportion and the difference between two means
- conduct a hypothesis test for a mean or a proportion
- identify possible errors or biases in sampling
- compute the correlations between variables
- use Excel to run a regression analysis
- interpret the output of a regression analysis and evaluate the validity and usefulness of a regression model in the context of the business issues that are being analysed
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
One of:
BUSA90351 BUSA90350 BUSA90352 BUSA90354 BUSA90353
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
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
Contribution to class learning | Throughout the teaching period | 10% |
Personal reflection of learning through case discussion
| Throughout the teaching period | 30% |
Syndicate assignment report (equivalent of individual 600 words)
| Day 4 | 10% |
Final Syndicate project report (equivalent of individual 1,200 words) and presentation (equivalent of individual 500 words)
| Day 7 | 20% |
End-of-semester examination
| During the examination period | 30% |
Last updated: 3 November 2022
Dates & times
- July
Mode of delivery On Campus (Parkville) Contact hours Pre teaching start date 2 June 2020 Pre teaching requirements Students are required to complete approximately 30 hours of reading to prepare for the subject during pre-teaching period Teaching period 2 July 2020 to 2 August 2020 Last self-enrol date 8 June 2020 Census date 3 July 2020 Last date to withdraw without fail 10 July 2020 Assessment period ends 2 August 2020
Additional delivery details
This subject is only available to students admitted to GD-BA, MC-BAPT, MC-BAPTME, 294PN, or students with permission of the MBA course coordinator
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 students with permission of the MBA course coordinator
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Business Administration - 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