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International online
Fee paying overseas:
Full fee - $17,800.00
Per 8pt subject - $4,450
We've developed this course in consultation with Australian Institute of Geoscientists (AIG), the leading professional institute representing geoscientists employed in all sectors of industry throughout Australia. Spatial analyst are in demand, particularly their knowledge to select and implement modelling approaches that deliver accurate outputs.
You’ll be studying the only postgraduate geostatistics course in Australia, and one of a few courses internationally available in this discipline.
This course provides interactive learning of state-of-the art statistical and machine learning spatial modelling methodologies. We teach with cutting-edge technology, with a focus on geostatistical applications to case studies in mining, agriculture, and environment.
You’ll be provided with step-by-step guidance through foundational knowledge and practical exercises, using open source software and datasets relevant to mining, agriculture and environmental case studies. You’ll also be trained in decision-making processes based on the evaluation and uncertainty assessment of spatial modelling outputs.
Study 100% online with Australia's most experienced provider of online study, helping you to fit study into your life. You can study at your own pace and vary your pattern (with permission from the course director) to suit your career aspirations.
When you graduate, you'll be ready to make your mark in a wide range of careers, including:
For each 8-point subject you are enrolled in, you should expect to spend 10 to 12 hours per week working on assignments and assigned readings, tutorial assistance, individual or group research/study, forum activity, workplace learning, and attending lectures, intensive schools, or examinations. If you are studying four subjects per session, this is equivalent to a full-time job. The workload for some subjects may vary as a result of approved course design.
You may need to attend an online or on-campus intensive school for certain subjects in this course. These schools usually involve lectures, tutorials and practicals that will give you a deeper understanding of your subject.
| SPA553 | Applied Geostatistics | 8 credit pts | ||
| SPA554 | Advanced Geostatistics | 8 credit pts |
| Select two (2) subjects from the following: | ||||
| SPA431 | GIS 1: Geographic Information Science Foundations | 8 credit pts | ||
| SPA432 | GIS 2: Geographic Information Science Applications | 8 credit pts | ||
| SPA433 | GIS 3: Advanced Geographic Information Science | 8 credit pts | ||
| SPA441 | Remote Sensing 1: Image Data | 8 credit pts | ||
| SPA442 | Remote Sensing 2: Image Processing and Analysis | 8 credit pts | ||
| SPA443 | Remote Sensing 3: Information Extraction | 8 credit pts | ||
| SPA451 | Cartography | 8 credit pts | ||
| SPA452 | Programming in GIS and Remote Sensing | 8 credit pts | ||
| SPA454 | Algorithms in GIS and Remote Sensing | 8 credit pts | ||
| SPA555 | Spatial Modelling | 8 credit pts | ||
| SPA556 | Spatial Project | 8 credit pts | ||
| ITC516 | Data Mining and Visualisation for Business Intelligence | 8 credit pts | ||
| ITC556 | Database Systems | 8 credit pts | ||
| ITC558 | Programming Principles | 8 credit pts | ||
| ITC560 | Internet of Things | 8 credit pts | ||
| ITC573 | Data and Knowledge Engineering | 8 credit pts | ||
| ITC575 | Foundations of Big Data Analytics | 8 credit pts | ||
| ITC576 | Artificial Intelligence and Machine Learning | 8 credit pts | ||
| MTH400 | Introductory Mathematics | 8 credit pts | ||
| MTH401 | Computer Aided Mathematics 1 with Applications | 8 credit pts | ||
| MTH402 | Computer Aided Mathematics 2 with Applications | 8 credit pts | ||
| MTH403 | Multivariable Calculus | 8 credit pts | ||
| MTH404 | Ordinary Differential Equations | 8 credit pts | ||
| MTH419 | Linear Algebra | 8 credit pts | ||
| SCI501 | Special Topics 1 | 8 credit pts | ||
| STA427 | Advanced Statistical Modelling | 8 credit pts | ||
| STA448 | Multivariate Statistical Analysis | 8 credit pts | ||
| STA501 | Scientific Data Analysis | 8 credit pts | ||
| STA508 | Experimental Design and Analysis (PG) | 8 credit pts |
As a Charles Sturt University student, throughout your course you have a responsibility to continue to develop skills in English language, literacy and numeracy as appropriate to your discipline. This ongoing development will enable you to effectively participate in your course and graduate prepared to enter the workforce.
This is an estimate
We have scholarships and grants, totalling over $11 million annually!
They cover various areas such as academic performance, volunteering, sports achievements, community service, specific courses, on-campus living and individuals in unique circumstances.
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Standard English Language Proficiency (ELP) requirements apply. Click here to view the specific international course entry requirements.
If you’ve completed relevant tertiary study, or work experience related to your course, you could receive credit towards your degree. Which would mean completing your qualification quicker. Find out how to apply for credit and see our credit policy.
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