195304 v.5 Master of Science (Mathematics)

MSc(Curtin)

Introduction

This course offers a range of studies in mathematics extending the student's knowledge and developing their ability to find efficient numerical and analytical solutions to problems. Completion of a project and presentation of a seminar are necessary components of the course. Students completing the course will have been exposed to the methodology involved in the pursuit of independent research.

Course Entry Requirements/Prerequisites

A bachelors degree with a mathematics or mathematics and computing major.

Recognition of Prior Learning

Applications for recognition of prior learning are assessed on an individual basis.

Duration and Availability

This fee paying course is one year full-time or equivalent part-time study.

Additional Course Expenses

Students may be expected to purchase a number of textbooks, readers and other vital study materials. In addition, students may also need to contribute some of the cost of consumables, which varies depending on the area of study.

Course Structure			Hrs/Wk	Credit
Year 1 Semester 1
		SELECT 2 ELECTIVES		50.0
		SELECT 2 OPTIONS		50.0
				100.0
Year 1 Semester 2
		SELECT 2 ELECTIVES		50.0
		SELECT 2 OPTIONS		50.0
				100.0
Year 2 Semester 1
6842	v.3	Masters Project 652	8.0	50.0
		SELECT 2 OPTIONS		50.0
				100.0
Year 2 Semester 2
6843	v.3	Masters Project 653	8.0	50.0
		SELECT 2 OPTIONS		50.0
				100.0

*Optional Units (No Year Level Specified)*			*Hrs/Wk*	*Credits*
4469	v.3	Applied Statistics 503	3.0	25.0
4471	v.3	Algebra 502	3.0	25.0
4472	v.3	Analysis 501	3.0	25.0
4474	v.3	Mathematical Methods 502	3.0	25.0
4478	v.3	Mathematics Topics 501	3.0	25.0
4479	v.3	Mathematics Topics 502	3.0	25.0
5892	v.4	Advanced Graph Theory 501	3.0	25.0
5894	v.4	Asymptotic Methods 501	3.0	25.0
5896	v.3	Numerical Analysis 501	3.0	25.0
5898	v.3	Numerical Analysis 502	3.0	25.0
5910	v.4	Stochastic Processes 501	3.0	25.0
5912	v.4	Advanced Statistical Inference 502	3.0	25.0
5914	v.4	Applied Mathematics Topics 502	3.0	25.0
5916	v.4	Probability and Statistics Topics 502	3.0	25.0
6121	v.5	Advanced Optimisation Techniques 501	3.0	25.0
6122	v.5	Combinatorial Optimisation 502	3.0	25.0
13001	v.2	Measure and Probability 501	3.0	25.0
304193	v.3	Time Series Modelling 504	3.0	25.0
304194	v.3	Multivariate Statistical Analysis 502	3.0	25.0
304234	v.2	Probability and Statistics Topics 501	3.0	25.0
304235	v.3	Stochastic Financial Modelling 503	3.0	25.0

Availability

Year	Location	Period	Internal	External
2003	Bentley Campus	Semester 1	Y
2003	Bentley Campus	Semester 2	Y

The information displayed above refers to study periods and locations where the course is available for first time entry. Students are normally only offered or admitted to a course once.

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195304 v.5 Master of Science (Mathematics)

Course Entry Requirements/Prerequisites A bachelors degree with a mathematics or mathematics and computing major.

Recognition of Prior Learning Applications for recognition of prior learning are assessed on an individual basis.

Duration and Availability This fee paying course is one year full-time or equivalent part-time study.

Additional Course Expenses Students may be expected to purchase a number of textbooks, readers and other vital study materials. In addition, students may also need to contribute some of the cost of consumables, which varies depending on the area of study.

Course Structure

Hrs/Wk

Credit

Year 1 Semester 1

Year 1 Semester 2

Year 2 Semester 1

Year 2 Semester 2

Availability

Course Entry Requirements/Prerequisites

A bachelors degree with a mathematics or mathematics and computing major.

Recognition of Prior Learning

Applications for recognition of prior learning are assessed on an individual basis.

Duration and Availability

This fee paying course is one year full-time or equivalent part-time study.

Additional Course Expenses

Students may be expected to purchase a number of textbooks, readers and other vital study materials. In addition, students may also need to contribute some of the cost of consumables, which varies depending on the area of study.