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Data Analytics in Insurance 2 (ACTL90019)
Graduate courseworkPoints: 12.5On 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
Semester 2
Dr Rui Zhou
rui.zhou@unimelb.edu.au
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | Semester 2 |
---|---|
Fees | Look up fees |
This subject aims to further develop students’ knowledge of modern analytical tools and techniques, including GLM, shrinkage techniques (e.g., LASSO and ridge regression), tree-based methods (e.g., random forests and GBM) and neural networks. It also teaches students to connect data analytics work to the actuarial control cycle and real-world business environments. Effective communication of findings to a range of business decision making audiences is also stressed.
Intended learning outcomes
- Explain where and how their data analytics work can add value to the business environment and strategy.
- Source, interpret, evaluate and prepare data for modelling.
- Use judgment to select appropriate predictive analytic techniques for a given business problem.
- Apply predictive analytic techniques to solve estimation and classification problems.
- Evaluate and compare performance of different models.
- Communicate findings to a range of audiences.
Generic skills
- Written communication
- Problem solving
- Statistical reasoning
- Application of theory to practice
- Predictive analytics
- Interpretation and analysis
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ACTL90023 | Data Analytics in Insurance 1 | Semester 1 (On Campus - Parkville) |
12.5 |
OR
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ACTL90008 | Statistical Techniques in Insurance | Semester 2 (On Campus - Parkville) |
12.5 |
OR
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ACTL30004 | Actuarial Statistics | Semester 2 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Statistical modelling; actuarial modelling
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 |
---|---|---|
Group oral presentation (3 students per group) (15 minutes per student)
| Week 8 | 30% |
End of Semester Examination
| During the examination period | 70% |
Last updated: 3 November 2022
Dates & times
- Semester 2
Coordinator Rui Zhou Mode of delivery On Campus (Parkville) Contact hours 2 hours of lectures and a 1 hour tutorial per week Total time commitment 170 hours Teaching period 3 August 2020 to 1 November 2020 Last self-enrol date 14 August 2020 Census date 21 September 2020 Last date to withdraw without fail 16 October 2020 Assessment period ends 27 November 2020 Semester 2 contact information
Dr Rui Zhou
rui.zhou@unimelb.edu.au
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022