• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
  • ANU College ANU College of Business and Economics
  • Course subject Actuarial Studies
  • Areas of interest Actuarial Studies
  • Academic career UGRD
  • Course convener
    • William Lim
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2020
    See Future Offerings

All activities that form part of this course will be delivered remotely

This course aims to extend actuarial students' knowledge of modern analytical tools and techniques beyond those introduced in introductory actuarial courses. It further aims to teach students how to apply this knowledge in real-life business settings, preparing them for more complex and practice specific applications which will be taught in future courses in their actuarial education.


This subject provides the opportunity for exemption from the requirements of the Core Data & Statistical Analysis subject under the Actuaries Institute’s Associate program. Such exemption depends on the grades attained in the subject.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. explain where and how their analytical work can add value to the business environment and strategy;
  2. source, interpret, evaluate and prepare data for modelling;
  3. select and justify appropriate predictive analytic techniques for a given business problem;
  4. apply predictive analytic techniques to solve estimation and classification problems;
  5. evaluate and compare performance of different models; and
  6. communicate findings to a range of audiences.

Indicative Assessment

  1. Typical assessment may include, but is not restricted to: assignments, a mid-semester exam and a final examination. (100) [LO 1,2,3,4,5,6]

In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle. 

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

Students are expected to commit 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time

Inherent Requirements

Not applicable

Requisite and Incompatibility

You will need to contact the Rsch Sch of Finance, Actuarial Studies & App Stats to request a permission code to enrol in this course.

Prescribed Texts

Information about the prescribed textbook will be available via the Class Summary

Assumed Knowledge

Students are assumed to have a good grasp of the material from the CS1 and CS2 exemptions of the Actuaries Institute.

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
3
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2020 $3750
International fee paying students
Year Fee
2020 $5760
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8997 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person View

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions