# Programs and Courses

**Source**: https://programsandcourses.anu.edu.au/course/ACST3032
**Parent**: https://programsandcourses.anu.edu.au/program/BACTS

- Code
  [ACST3032](https://programsandcourses.anu.edu.au/2026/course/ACST3032)
- Unit Value
  6 units

- 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
- Mode of delivery
  In Person
- Co-taught Course
  - [ACST6032](https://programsandcourses.anu.edu.au/course/ACST6032)
- Offered in

  Second Semester 2026\

  [See Future Offerings](#terms)

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Actuarial Data Analysis ([ACST3032](https://programsandcourses.anu.edu.au/2026/course/ACST3032))

- [Introduction](#introduction)
- [Learning Outcomes](#learning-outcomes)
- [Indicative Assessment](#indicative-assessment)
- [Workload](#workload)
- [Inherent Requirements](#inherent-requirements)
- [Requisite and Incompatibility](#incompatibility)
- [Prescribed Texts](#prescribed-texts)
- [Assumed Knowledge](#assumed-knowledge)
- [Fees](#fees)
- [Offerings and Dates](#terms)

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.

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This subject provides the opportunity for exemption from the requirements of the Data Analytics Principles subject under the Actuaries Institute’s Actuary 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.
6. Communicate findings to a range of audiences.

## Indicative Assessment

1. The research-based assessment will consist of assignments. (40) [LO 1,2,3,4,5,6]
2. The other assessment may include but is not restricted to: exams, quizzes, presentations and other assessments as appropriate. (60) [LO 1,2,3,4,5,6]

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](http://services.anu.edu.au/information-technology/software-systems/turnitin) 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

To enrol in this course you must have completed or be concurrently enrolled in [STAT3038](https://programsandcourses.anu.edu.au/2026/course/STAT3038).

## 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.

**Commonwealth Support (CSP) Students**\
If you 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). More information about your student contribution amount for each course at **[Fees](https://www.anu.edu.au/students/program-administration/fees-payments/student-contributions)**. 

Student Contribution Band:
:   [34](https://students.anu.edu.au/fees/domestic/csp.php)

Unit value:
:   6 units

If you are a **domestic graduate coursework student** with a Domestic Tuition Fee (DTF) place**or international student** you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at **[Fees](http://students.anu.edu.au/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 |

## Course fees

[Domestic](#indicative-fees__domestic)
[International](#indicative-fees__international)

Domestic fee paying students

| Year | Fee |
| --- | --- |
| 2026 | $5520 |

International fee paying students

| Year | Fee |
| --- | --- |
| 2026 | $7020 |

**Note:** Please note that fee information is for current year only.

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## Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the [Timetable webpage](https://www.anu.edu.au/students/program-administration/timetabling).

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.

[2026](#course-tab-1)

[2027](#course-tab-2)

### Second Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 8360 | 27 Jul 2026 | 03 Aug 2026 | 31 Aug 2026 | 30 Oct 2026 | In Person | N/A |

### Second Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 9740 | 26 Jul 2027 | 02 Aug 2027 | 31 Aug 2027 | 29 Oct 2027 | In Person | N/A |