Available in 2018

Course handbook


Introduces the mathematical concepts and techniques which underpin the application of statistics in the digital age.

Availability2018 Course Timetables

WebLearn GradSchool

  • Semester 2 - 2018
  • Semester 1 - 2018

Learning outcomes

On successful completion of the course students will be able to:

1. Algebraically manipulate a variety of mathematical expressions;

2. Understand the concept of the limit of a mathematical function and evaluate the limits of simple functions;

3. Differentiate mathematical expressions using various techniques.

4. Integrate mathematical expressions using appropriate techniques;

5. Understand the concepts of vectors and matrices and how these are used in statistics;

6. Recognise matrix notation and perform various mathematical operations on matrix expressions;

7. Understand the concept of numerical approximation and its importance to statistical computing.


This course covers the most frequently used mathematical concepts, functions and operations in statistics. Differentiation and integration techniques will be introduced along with the concepts of numerical methods for evaluating more complex functions. The use of matrices will also be covered, including important matrix operations and properties commonly utilised in statistical modelling.

Assessment items

Written Assignment: MA1

Written Assignment: MA2

Written Assignment: MA3

Written Assignment: MA4

Contact hours

WebLearn GradSchool

Self-Directed Learning

Self-Directed 6 hour(s) per Week for Full Term

Suggest 8-10 hours per week time allocation (guide only)