Handbook home
Applied Business Analytics (BUSA90547)
Graduate courseworkPoints: 12.5Not available in 2024
Overview
| Fees | Look up fees |
|---|
The subject integrates academic learning and practical challenges in implementing data analytics in an organisation/organisational context via a project undertaken over 10 weeks (part-time)
The assessment in the subject will include the completion of the report for the subject and a project presentation. This is a team project.
The program focuses on two areas:
- Communication skills: These skills include effective presentations, verbal communication, written communication, public speaking, and communicating technical material to non-technical audiences.
- Practicum skills: The completion of a 10-week project using real data in/from an industry setting under an approved supervisor.
Intended learning outcomes
On completion of this subject, students should be able to:
- Deliver a technical report appropriate for a non-technical audience.
- Identify ethical issues & concerns in the acquisition, retrieval, storage, and analysis of data & appreciate the importance of ethical practice and apply it in a workplace context.
- Learn how to negotiate within the area of personal & professional development. Negotiate within the area of project management.
- Produce original work in an appropriate format which demonstrates analytical, research and problem-solving skills.
- Put into practice communication, interpersonal, organisational and time management skills in a workplace context.
- Present their work professionally in a way that makes the connections between the results of their analysis and business issues for an organisation.
Last updated: 19 January 2024
Eligibility and requirements
Prerequisites
Completion of 100 credit points from the following subjects: Business Data Platforms, Coding for Business Problems, Decision Making and Optimisation, Statistical Learning for Business, Machine Learning & AI for Business, Causal Analytics for Business, Predictive Business Analytics, Text Analytics for Business, Risk Analytics, Customer Analytics, Supply Chain Analytics.
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: 19 January 2024
Assessment
| Description | Timing | Percentage |
|---|---|---|
Project/group work involving negotiation strategies
| From Week 1 to Week 3 | 10% |
Individual report on ethical concerns within data/analytics
| Week 6 | 10% |
Syndicate research report
| Week 10 | 40% |
Syndicate oral presentation
| Week 10 | 20% |
Reflection essay
| Week 10 | 20% |
Last updated: 19 January 2024
Dates & times
Not available in 2024
Last updated: 19 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 19 January 2024