Actuarial Statistics (ACTL30004)

Undergraduate level 3Points: 12.5On Campus (Parkville)

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Overview

Availability
Semester 2
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This subject aims to provide students with grounding in advanced linear regression analysis which includes multiple linear regression, Spearman's and Kendall's measures of correlation, principal component analysis and generalised linear models. This subject also focuses on explaining the fundamental concepts of Bayesian statistics, deriving Bayesian estimators, and describing and applying the essential concepts of credibility theory.  

Intended learning outcomes

On successful completion of this subject, students should be able to:

  • Employ exploratory data analysis techniques to reduce dimensionality of complex data sets and to evaluate the correlation of multivariate data;
  • Recognise and interpret multiple linear regression models;
  • Identify the fundamental concepts of a generalised linear model (GLM) and discuss its practical implementation;
  • Use statistical software to fit regression and generalised linear models to a data set and interpret the results and to write simple functions to complete routine tasks;
  • Employ the bootstrap method to assess properties of an estimator;
  • Recognise the fundamental concepts of Bayesian statistics and employ these concepts to derive Bayesian estimators;
  • Identify and interpret the fundamental concepts of credibility theory; and
  • Apply prerequisite mathematical and statistical concepts to the solution of problems on the above topics.

Generic skills

On successful completion of this subject, students should have improved the following generic skills:

  • High level of development:  written communication; problem solving; statistical reasoning; application of theory to practice; synthesis of data and other information; evaluation of data and other information; use of computer software.

Last updated: 20 March 2025

Eligibility and requirements

Prerequisites

Code Name Teaching period Credit Points
MAST20005 Statistics
Semester 2 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

None

Recommended background knowledge

Please refer to Prerequisites

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: 20 March 2025

Assessment

DescriptionTimingPercentage

Assignment 1 (Week 5 or 6)

  • 1000 words
First half of the teaching period15%

Assignment 2 (Week 10 or 11)

  • 1000 words
Second half of the teaching period15%

End-of-semester examination

  • 2 hours
Hurdle requirement: To pass this subject, students must pass the end-of-semester exam		During the examination period70%

Last updated: 20 March 2025

Dates & times

  • Semester 2
    Principal coordinatorsHamza Hanbali and Enrique Calderin
    Mode of deliveryOn Campus (Parkville)
    Contact hoursTwo 1-hour lectures and one 1-hour tutorial per week
    Total time commitment170 hours
    Teaching period28 July 2025 to 26 October 2025
    Last self-enrol date 8 August 2025
    Census date 1 September 2025
    Last date to withdraw without fail26 September 2025
    Assessment period ends21 November 2025

    Semester 2 contact information

    Enrique Calderin: enrique.calderin@unimelb.edu.au

    Hamza Hanbali: hamza.hanbali@unimelb.edu.au 

Time commitment details

Estimated total time commitment of 170 hours.

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: 20 March 2025

Further information

Last updated: 20 March 2025