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Data Wrangling and Visualisation (BUSA90520)
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
Semester 1
Derick Lyle: derick.lyle@unimelb.edu.au
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | Semester 1 |
---|---|
Fees | Look up fees |
This subject provides an introduction to the essential skills for the management of business data to enable the application of analytics and evidence-based decision-making in business. It entails the study of the principles and tools for business data management and modelling. The focus of the subject is enabling business decision-making, and includes consideration of effective presentation and reporting of business data. Data sets will be drawn from multiple industries and business disciplines (accounting, economics, finance and management & marketing).
Intended learning outcomes
- Collect and compile business data from multiple sources
- Manage common issues in the manipulation of business data of different types (e.g., timestamp, textual data)
- Define appropriate business metrics and variables for a given data set
- Explain the principles and issues involved in the effective presentation of business data for decision-making purposes
Generic skills
- Collaborative learning
- Problem solving;
- Team work
- Interpretation and analysis;
- Critical thinking;
- Evaluation of data and other information;
- Use of computer software;
- Application of theory to practice
- Oral communication;
- Written communication;
- Accessing data and other information from a range of sources
- Synthesis of data and other information;
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Entry into the Master of Management (Accounting and Finance) MC-MGMTAFN
OR
Students must have completed:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM90009 | Quantitative Methods for Business |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MGMT90141 | Business Analysis & Decision Making |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
|
12.5 |
And one of:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ACCT90004 | Accounting for Decision Making |
Summer Term (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
ACCT90041 | Fundamentals in Accounting |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
ECON90015 | Managerial Economics |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
FNCE90060 | Financial Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
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 |
---|---|---|
Three data projects, to be completed in groups of 3-4 students, with the expectation that all students contribute equally to all projects. Each student will contribute the equivalent of 3500 words for all three projects.
| Throughout the semester | 60% |
Take home exam
| During the examination period | 40% |
Last updated: 3 November 2022
Dates & times
- Semester 1
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Teaching period 2 March 2020 to 7 June 2020 Last self-enrol date 13 March 2020 Census date 30 April 2020 Last date to withdraw without fail 5 June 2020 Assessment period ends 3 July 2020 Semester 1 contact information
Derick Lyle: derick.lyle@unimelb.edu.au
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 3 November 2022