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Data Wrangling and Visualisation (BUSA90520)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Overview
Availability | Semester 1 - Dual-Delivery |
---|---|
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
On successful completion of this subject, students should be able to:
- 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: 31 January 2024
Eligibility and requirements
Prerequisites
Admission into one of:
MC-MGMTAFN Master of Management (Accounting and Finance)
MC-AEMTRCS Master of Applied Econometrics
MC-AECOENH Master of Applied Econometrics (Enhanced)
OR
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM90009 | Quantitative Methods for Business |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
MGMT90141 | Business Analysis and Decision Making |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
Summer Term (Dual-Delivery - Parkville)
|
12.5 |
AND
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ACCT90004 | Accounting for Decision Making |
Summer Term (Online)
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
ACCT90041 | Fundamentals in Accounting |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
ECON90015 | Managerial Economics |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
FNCE90060 | Financial Management |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
OR
Completion of a Bachelor's Degree in Commerce (or related discipline i.e. Business, Accounting/Finance, Economics)
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
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: 31 January 2024
Dates & times
- Semester 1
Principal coordinator Derick Lyle Mode of delivery Dual-Delivery (Parkville) Contact hours 36 hours, comprising of one 3 hour seminar per week Total time commitment 170 hours Teaching period 28 February 2022 to 29 May 2022 Last self-enrol date 11 March 2022 Census date 31 March 2022 Last date to withdraw without fail 6 May 2022 Assessment period ends 24 June 2022 Semester 1 contact information
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 31 January 2024