Master of Computational Modelling

What is this course about?

The Master of Computational Modelling is a Master degree by research drawing on the resources of the School of Computing and Mathematics and the International Centre of Water for Food Security.

Available by distance education or on campus, this course is suited to individuals with an interest in mathematical aspects of modelling, statistics, spatial science, hydrology or information technology.

Examples of research conducted at CSU in these areas include:

• farm and regional scale integrated hydrologic economic and salinity modelling using complex approaches such as control theory, genetic algorithms, space state reduction and socio-economic integration
• surface-groundwater interaction and quality management and modelling
• GIS and remote sensing applications in spatial hydrology
• hydrological modelling and database development
• environmental law and economics integration for sustainable development.

The aims of this course are to provide a grounding in the theory and techniques of computational modelling, and produce graduates capable of successfully completing research which results in a distinct contribution to knowledge.

More reasons to study this degree

Graduate outcomes

Upon completion of the course, graduates will be able to:

• solve ordinary and partial differential equations using various methods
• write computer programs and / or use software to solve problems
• appreciate the utility and limitations of numerical solutions
• identify various types of errors inherent in all experimental data and numerical calculations
• use numerical algorithms to deal with a wide range of problems ranging from the computation of theoretical solutions to the practical analysis of experimental data
• apply techniques of computational modelling to real-world problems.

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Course Structure

The course comprises a Master’s thesis and three core subjects. The core subjects are shell subjects and would normally be advanced reading subjects or projects in the areas of Mathematics, Statistics, Spatial Science, Hydrology or Information Technology. No credit may be applied towards any subject.

Because of the flexibility of the course, there is no prescribed enrolment pattern. Students may choose the order in which they undertake subjects, depending upon the availability of subjects and the meeting of any pre-requisites. Students are encouraged to enrol in core subjects in the initial sessions and attempt to complete as many of these as possible before selecting specialised subjects.

More information about the course structure

Graduation requirements

The minimum requirements for graduation are that the candidate must complete 32 points at Pass level or better in the core subjects, and complete a thesis worth 96 points to the satisfaction of the Board of Graduate Studies.