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Analytics Lab (BUSA90502)
Graduate courseworkPoints: 25On 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 | October |
---|---|
Fees | Look up fees |
This subject involves completion of a 5-week project using real data from an industry setting under an approved supervisor. The subject integrates academic learning, practical challenges in implementing data analytics in an organisation, employability skills and attributes and an improved knowledge of organisations, workplace culture and career pathways. The assessment week of the subject will involve the completion of the report for the subject and a project presentation. This is a team project. Students interested in a research higher degree may, with permission, undertake an individual research project.
Intended learning outcomes
On completion of Industry Practicum, students should be able to:
- Identify and articulate their knowledge and skills and apply them to relevant organisational contexts and work-settings; as well as linking them to specific professions and career pathways.
- 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;
- Review and reflect on the process and output of a business project to their academic and career development.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90501 | Advanced Business Analytics | May (On Campus - Parkville) |
37.5 |
Corequisites
None
Non-allowed subjects
Disallowed subject combinations: Individual Research Project
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 |
---|---|---|
Syndicate Research Report (equivalent of individual 5000 word assessment)
| Week 6 | 50% |
Syndicate Oral Presentation (equivalent of individual 3000 word assessment)
| Week 6 | 40% |
Reflection (individual piece of assessment for all students)
| Week 6 | 10% |
Last updated: 3 November 2022
Dates & times
- October
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 320 hours Teaching period 26 October 2020 to 4 December 2020 Last self-enrol date 26 September 2020 Census date 6 November 2020 Last date to withdraw without fail 20 November 2020 Assessment period ends 4 December 2020
Time commitment details
Total time commitment: 320 hours
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