# Programs and Courses

**Source**: https://programsandcourses.anu.edu.au/course/STAT2005
**Parent**: https://programsandcourses.anu.edu.au/program/BACTS

- Code
  [STAT2005](https://programsandcourses.anu.edu.au/2026/course/STAT2005)
- Unit Value
  6 units

- Offered by
  Rsch Sch of Finance, Actuarial Studies & App Stats
- ANU College
  ANU College of Business and Economics
- Course subject
  Statistics
- Areas of interest
  Actuarial Studies, Finance, Statistics

- Academic career
  UGRD
- Mode of delivery
  In Person
- Offered in

  Second Semester 2026\

  [See Future Offerings](#terms)

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Introduction to Stochastic Processes ([STAT2005](https://programsandcourses.anu.edu.au/2026/course/STAT2005))

- [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)

An introduction to stochastic processes, which are random processes occurring in time or space.

They are used to model dynamic relationships involving random events in a wide variety of disciplines including the natural and social sciences, and in financial, managerial and actuarial settings.

The course consists of a short review of basic probability concepts and a discussion of conditional probability and conditional expectation, followed by an introduction to the basic concepts and an investigation of the long-run behaviour of Markov chains in discrete time, countable state space. The course also covers some important continuous-time stochastic processes including Poisson processes and other Markov pure jump processes, as well as Brownian motion and other related Gaussian processes as time permits.

## Learning Outcomes

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

1. Articulate basic concepts of stochastic processes in discrete time, especially concerning Markov chains, their classifications and long-run behaviour; and
2. Critically analyse continuous-time stochastic processes, with topics drawn from Poisson processes, other Markov pure jump processes, Brownian motion and other (related) Gaussian processes.

## Indicative Assessment

1. Typical assessment may include, but is not restricted to: exams, assignments, quizzes, presentations and other assessment as appropriate (100) [LO 1,2]

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 met the following requirements:
Completed [STAT2001](https://programsandcourses.anu.edu.au/2026/course/STAT2001) or [STAT2013](https://programsandcourses.anu.edu.au/2026/course/STAT2013); and
Completed [MATH1113](https://programsandcourses.anu.edu.au/2026/course/MATH1113) or [MATH1014](https://programsandcourses.anu.edu.au/2026/course/MATH1014) or have completed or be concurrently enrolled in [MATH1116](https://programsandcourses.anu.edu.au/2026/course/MATH1116).
Incompatible with [STAT7004](https://programsandcourses.anu.edu.au/2026/course/STAT7004).

## Prescribed Texts

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

## Assumed Knowledge

Whilst concurrent enrollment with [MATH1116](https://programsandcourses.anu.edu.au/2026/course/MATH1116) is possible, students are recommended to have completed [MATH1116](https://programsandcourses.anu.edu.au/2026/course/MATH1116) before this course if their program structure allows it.

## 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:
:   [1](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 | $4920 |

International fee paying students

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

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

\

## 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 |
| --- | --- | --- | --- | --- | --- | --- |
| 7430 | 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 |
| --- | --- | --- | --- | --- | --- | --- |
| 8945 | 26 Jul 2027 | 02 Aug 2027 | 31 Aug 2027 | 29 Oct 2027 | In Person | N/A |