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Applied Analytics Lab (BUSA90522)
Graduate courseworkPoints: 25On Campus (Parkville)
From 2023 most subjects will be taught on campus only with flexible options limited to a select number of postgraduate programs and individual subjects.
To learn more, visit COVID-19 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 | January April |
|---|---|
| Fees | Look up fees |
This subject involves completion of a 10-week project using real data from an industry setting. The subject integrates academic learning, practical challenges in implementing data analytics in an organisation, employability skills and attributes and an improved knowledge of how analytics can be implemented within organisations. The assessment week of the subject will involve the completion of the report for the subject and a project presentation. This is an individual project. Students interested in a research higher degree may, with permission, undertake an individual research project.
Intended learning outcomes
On completion of this subject, students should be able to:
- Clearly articulate the business problem to be solved and the data & tools required to solve the problem.
- Identify and articulate their analytics 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.
Generic skills
- • High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources. • High level of development: written communication; critical thinking; receptiveness to alternative ideas. • High level of development: collaborative learning; team work
Last updated: 10 November 2023
Eligibility and requirements
Prerequisites
Admission into the MC-ANAMGT Master of Analytics Management
AND
a minimum of 125 credit points of study in the course
Corequisites
None
Non-allowed subjects
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| BUSA90504 | Individual Research Project | August (On Campus - Parkville) |
25 |
Inherent requirements (core participation requirements)
Melbourne Business School welcomes applications from eligible students for a variety of graduate degrees offered by its programme portfolio. These degrees require following attributes for academic study:
• The ability to explain and evaluate concepts, theories, and business operations of organisations
• Ability to use analytic techniques to solve business problems
Melbourne Business School welcomes applications from students with disabilities and takes reasonable steps to implement adjustments to provide equal participation opportunities for students with disability.
Last updated: 10 November 2023
Assessment
| Description | Timing | Percentage |
|---|---|---|
Project proposal
| Week 2 | 20% |
Project report and presentation (report is 5,000 word and presentation is 30 minutes which in total are equivalent of 8000 word assessment)
| Week 10 | 80% |
Last updated: 10 November 2023
Dates & times
- January
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 340 hours Pre teaching start date 10 January 2022 Pre teaching requirements Students are required to complete approximately 15 hours of readings to prepare for the subject. Teaching period 17 January 2022 to 25 March 2022 Last self-enrol date 11 January 2022 Census date 28 January 2022 Last date to withdraw without fail 4 March 2022 Assessment period ends 1 April 2022 - April
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 340 hours Pre teaching start date 4 April 2022 Pre teaching requirements Students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 11 April 2022 to 17 June 2022 Last self-enrol date 29 March 2022 Census date 22 April 2022 Last date to withdraw without fail 27 May 2022 Assessment period ends 24 June 2022
Last updated: 10 November 2023
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 10 November 2023