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Data Analytics in Insurance 2 (ACTL90019)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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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
Overview
Availability | Semester 2 - Dual-Delivery |
---|---|
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
On successful completion of this subject, students should be able to:
- 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: 31 January 2024
Eligibility and requirements
Prerequisites
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ACTL90023 | Data Analytics in Insurance 1 | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
ACTL90008 | Statistical Techniques in Insurance | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
ACTL30004 | Actuarial Statistics | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
MC-COMACTS Master of Commerce (Actuarial Science)
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: 31 January 2024
Assessment
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% |
Additional details
Important online examination information:
This examination is the equivalent of a 3-hour assessment; however, students are provided with 4-hours to accommodate the time that will be required for typesetting of mathematical expressions and the uploading of documents.
Last updated: 31 January 2024
Dates & times
- Semester 2
Coordinator Rui Zhou Mode of delivery Dual-Delivery (Parkville) Contact hours 2 hours of lectures and a 1 hour tutorial per week Total time commitment 170 hours Teaching period 25 July 2022 to 23 October 2022 Last self-enrol date 5 August 2022 Census date 31 August 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022 Semester 2 contact information
Dr Rui Zhou
rui.zhou@unimelb.edu.au
Last updated: 31 January 2024
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: 31 January 2024