Master of Spatial Science Technology (MSPT)

Back to top Program aims The Master of Spatial Science Technology program aims to produce graduates who are skilled in spatial science investigations, evaluation and synthesis.

The program allows students to enhance their knowledge of a particular surveying or spatial science information discipline area for theoretical application, research and professional practice.

Admission requirements

To be eligible for admission, applicants must satisfy the following requirements:

• Completion of an Australian university three or four year Bachelor degree in a discipline approved by the Faculty of Health, Engineering and Sciences, or equivalent.
• English Language Proficiency requirements for Category 3.

All students are required to satisfy the applicable English language requirements.

If students do not meet the English language requirements they may apply to study a University-approved English language program. On successful completion of the English language program, students may be admitted to an award program.

Program objectives

The Master of Spatial Science Technology is a graduate level program in the fields of geographic information systems (GIS) and surveying. A coursework component (10 units) is augmented by a research project component (6 units). This allows students to enhance and extend their knowledge of a particular GIS or surveying specialisation. Since spatial science is inherently a confluence of knowledge from various disciplines, a candidate from a non-spatial science background, such as biological and physical sciences, engineering, mathematics and statistics, information technology, agriculture and forestry, arts, and business, can apply to this program.Students who successfully complete the Master of Spatial Science Technology should be able to:

• critically evaluate knowledge from the literature and other information sources relevant to spatial science fields;
• systematically apply advanced, specialised knowledge within spatial science;
• employ a range of cognitive skills to review, analyse and synthesise knowledge to identify innovative solutions to complex discipline specific problems in spatial science;
• independently plan, implement, interpret, analyse and evaluate research outcomes by ethical means and application of evidence based practices.