COURSE INFORMATION

Disclaimer

This course information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

N93 / 689 Master of Science (Mathematics and Planning)

INTRODUCTION

The Master of Science (Mathematics and Planning) is a research Masters degree. The focus of this course is applied statistics.  Students should consult the course coordinator before making an application for admission.

 
ADMISSION REQUIREMENTS

A three year undergraduate degree (or equivalent) which includes a substantial mathematics component. 

 
COURSE LOCATION
This course is available on Joondalup Campus.
 
MODE OF STUDY
This course is available by Full-time, or Part-time mode.
 
MODE OF DELIVERY
This course is available in the following mode of delivery - On-campus.
 
COURSE STRUCTURE

Year one consists of 120 credit points (3 coursework units and 2 thesis preparation units). Year two is the thesis component of this course, which is entirely research based and equivalent to 1 year of full-time study.

 
YEAR ONE
Consists of five core units.
 
RES5115 Research Preparation: Principles and Approaches 20 
MAT5215 Introduction to Geostatistics 20 
MAT5218 Geostatistical Methods 20 
ENS6130 Masters Thesis Preparation 1 30 
ENS6131 Masters Thesis Preparation 2 30 
 
Students who have already completed MAT5215 (or equivalent) should instead enrol in MAT5219: Modelling and Simulation.
 
YEAR TWO
The thesis component of this course is entirely research based and equivalent to 1 year of full-time study. Each semester students nominate if they wish to enrol into research thesis unit: MAT6200 at 50% or 100% of full-time enrolment.

Students are required to continue re-enrolling in the thesis component of their study until the thesis is submitted for examination.

 
MAT6200 Masters Thesis 0 
 
During this year students write a research thesis under the supervision of a staff member. Available research areas currently include Mathematical Modelling, Image Analysis, Time Series Analysis, Spatial Data Analysis, Geostatistics and Spatial Modelling.

 
 
 
 
Disability Standards for Education (Commonwealth 2005)
For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes, Graduate Attributes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Student Equity, Diversity and Disability Service website:
http://intranet.ecu.edu.au/student/support/student-equity

Last Updated - Higher Education: 15/03/2014 VET: 14/05/2014