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This research program focuses on applied statistics. Areas available for research include mathematical modelling, image analysis, time series analysis, spatial data analysis, geostatistics and spatial modelling.
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. In particular please check the course requirements and the unit and unit set offerings, as these differ according to course delivery location.
Meet the published English language standards and:
All applicants are required to have a three-year undergraduate degree which includes a substantial mathematics component, with equivalents considered.
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| 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 |
Note: Students who have completed MAT5215 Introduction to Geostatistics, or equivalent, should enrol in MAT5219 Modelling and Simulation.
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| Students are required to continue re-enrolling in the thesis component of their study until the thesis is submitted for examination. | ||
| MAT6200 | Masters Thesis | |
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 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 Access and Inclusion website.
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This research program focuses on applied statistics. Areas available for research include mathematical modelling, image analysis, time series analysis, spatial data analysis, geostatistics and spatial modelling.
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. In particular please check the course requirements and the unit and unit set offerings, as these differ according to course delivery location.
Meet the published English language standards and:
All applicants are required to have a three-year undergraduate degree which includes a substantial mathematics component, with equivalents considered.
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| RES5115 | Research Preparation: Principles and Approaches | 20 |
| MAT5215 | Introduction to Geostatistics | 20 |
| SCI5140 | Current Issues in Natural Sciences | 20 |
| ASP5113 | Masters Thesis 1 | 20 |
| ASP5114 | Masters Thesis 2 | 20 |
| And | ||
| MAT5218 ^ | Geostatistical Methods | 20 |
| Or | ||
| MAT5212 ^ | Biostatistics | 20 |
Note: Students who have completed MAT5215 Introduction to Geostatistics, or equivalent, should enrol in MAT5219 Modelling and Simulation.
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| Students are required to continue re-enrolling in the thesis component of their study until the thesis is submitted for examination. | ||
| MAT6200 | Masters Thesis | |
^ Core Option
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 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 Access and Inclusion website.
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