Data Wrangling and Visualisation (BUSA90520)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
Contact information
Summer Term
Semester 1
Overview
Availability | Summer Term 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
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: 8 November 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 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
MGMT90141 | Business Analysis and Decision Making |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (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 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
ECON90015 | Managerial Economics |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
FNCE90060 | Financial Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - 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: 8 November 2024
Assessment
Semester 1
Description | Timing | Percentage |
---|---|---|
Four 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 four projects.
| Throughout the semester | 60% |
End-of-semester examination
| During the examination period | 40% |
Summer Term
Description | Timing | Percentage |
---|---|---|
Quizzes, exercises, and participation
| Throughout the teaching period | 10% |
Individual assignment
| Week 3 | 10% |
Large data project based on a case study, to be completed in groups of 3-4 students. All students should contribute equally; equivalent effort to 2500 words per student. In addition to delivering a working solution, groups will need to record a 5-minute presentation demonstrating their solution and making specific recommendations to management.
| Second half of the teaching period | 40% |
End-of-semester examination
| During the examination period | 40% |
Last updated: 8 November 2024
Dates & times
- Summer Term
Principal coordinator Derick Lyle Mode of delivery On Campus (Parkville) Contact hours Two 1-hour lectures and two 2-hour workshops per week Total time commitment 170 hours Teaching period 2 January 2024 to 9 February 2024 Last self-enrol date 9 January 2024 Census date 12 January 2024 Last date to withdraw without fail 2 February 2024 Assessment period ends 9 February 2024 Summer Term contact information
- Semester 1
Principal coordinator Derick Lyle Mode of delivery On Campus (Parkville) Contact hours One 1-hour lecture and one 2-hour workshop per week Total time commitment 170 hours Teaching period 26 February 2024 to 26 May 2024 Last self-enrol date 8 March 2024 Census date 3 April 2024 Last date to withdraw without fail 3 May 2024 Assessment period ends 21 June 2024 Semester 1 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.
Last updated: 8 November 2024
Further information
- Texts
Last updated: 8 November 2024