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Prof Development & Application II (BUSA90551)
Graduate courseworkPoints: 6.25On Campus (Parkville)
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | August |
---|---|
Fees | Look up fees |
This subject integrates academic learning and practical challenges in implementing data analytics in an organisation via a 5-week group internship as a key learning and assessment aid for employability skills and attributes, providing improved knowledge of organisations, workplace culture and career pathways for students. In conjunction with this students will also continue to work with the Careers Management Centre developing personal effectiveness in the workplace (communications skills, interview practice, negotiation skills)
Assessment of the subject is focused around the internship and includes the completion of the report and a project presentation. This is a team project. Students interested in a research higher degree may, with permission, undertake an individual research 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 5-week project using real data in/from an industry setting under an approved supervisor.
Successful completion of a range of core academic subjects as well as Professional Development I is a pre-requisite for this subject.
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.
- 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.
- Review and reflect on the process and output of a team-based business project to their academic and career development.
Generic skills
- Critical thinking, analytical and problem-solving skills
- Communication skills
- Interpersonal and networking skills
- Team working skills
- Effective evidence-based decision-making skills
- Organisational skills
- Commercial awareness and business acumen
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
93.75 credit points from
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90539 | Business Data Platforms |
March (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
BUSA90537 | Coding for Business Problems |
July (On Campus - Parkville)
March (On Campus - Parkville)
|
12.5 |
BUSA90538 | Decision Making and Optimisation |
July (On Campus - Parkville)
March (On Campus - Parkville)
|
12.5 |
BUSA90536 | Statistical Learning for Business |
July (On Campus - Parkville)
March (On Campus - Parkville)
|
12.5 |
BUSA90542 | Machine Learning & AI for Business | May (On Campus - Parkville) |
12.5 |
BUSA90541 | Predictive Business Analytics |
September (On Campus - Parkville)
May (On Campus - Parkville)
|
12.5 |
BUSA90543 | Text Analytics for Business |
May (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
BUSA90550 | Prof Development & Application I | January (On Campus - Parkville) |
6.25 |
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 |
---|---|---|
Syndicate research report
| Week 6 | 60% |
Syndicate oral presentation
| Week 6 | 30% |
Reflection essay
| Week 6 | 10% |
Last updated: 31 January 2024
Dates & times
- August
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 100 hours Teaching period 14 August 2023 to 1 December 2023 Last self-enrol date 5 September 2023 Census date 8 September 2023 Last date to withdraw without fail 20 October 2023 Assessment period ends 1 December 2023
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: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 31 January 2024