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Study science online with Swinburne University of Technology through Open Universities Australia. Explore all degrees, subjects and short courses now.

Please note: From Study Period 1 2020:
Only the Graduate Certificate of Science (Astronomy) will be available for students to study via Open Universities Australia (OUA).
Students wanting to continue their studies in either the <a href="https://www.swinburne.edu.au/study/course/Graduate-Diploma-of-Science-(Astronomy)-GD-SASTRO/local" target="_blank">Graduate Diploma of Science (Astronomy)</a> or <a href="https://www.swinburne.edu.au/study/course/Master-of-Science-(Astronomy)-MA-SASTRO/local" target="_blank">Master of Science (Astronomy)</a> will need to apply directly with <a href="https://protect-au.mimecast.com/s/6cIPCE8kr8sgQKrJFp_WzL?domain=swinburne.edu.au" target="_blank">Swinburne University of Technology</a>.
Additional information is also available on the Swinburne Astronomy Online (SAO) website at <a href="https://protect-au.mimecast.com/s/mHgACK1qK1SBj0gvfG5s0H?domain=astronomy.swinburne.edu.au" target="_blank">http://astronomy.swinburne.edu.au/sao/</a>”
The Graduate Certificate of Science (Astronomy) cover the fundamental concepts and ‘big questions’ of modern astronomy. It equips students with an overall understanding of modern astronomy, rather than training as a professional astronomer.
The introductory level subjects require no background mathematical knowledge and instead focus on a conceptual approach to astronomy. However, some of the more advanced-level subjects have prerequisites and assume knowledge of introductory tertiary level mathematics and physics.

Focus on a conceptual approach to astronomy and the 'big questions' without needing a mathematical background. Graduates find opportunities working in observatories, science centres and museums, science and astronomy education and public outreach.

Graduate Certificate of Science (Astronomy)

Exploring the Solar System

Galaxies and their Place in the Universe

Exploring Stars and the Milky Way

Research Design

Basic Statistical Computing Using R

Studies in Space Exploration

Statistical Practice 1

This subject aims to provide an introduction to our solar neighbourhood, including terrestrial planets, giant planets, minor bodies and the Sun. The emphasis is on conceptual astronomy rather than mathematical techniques.

Revolve around the solar system. Survey the stellar suburbs of stars, terrestrial and giant planets and the Moon and Sun. Understand Earth’s position.  Study celestial activities of the night sky. Probe the solid surfaces of Mercury, Venus and Mars. 

This subject aims to provide an introduction to galaxies and galaxy clustering, theories of dark matter, galaxy formation and evolution.

Gravitate towards galaxies and reveal the theory of dark matter. Chart the universe in depth and navigate structures from dwarf stars to voids. Discover the gravity of galactic clusters. Unearth how first galaxies are formed, evolve and change. 

This subject teaches students to identify some of the methodologies used in survey research. It includes an overview of the procedures used in survey research, a descriptive approach to methods including questionnaire design, data collection, and an introduction to survey sampling. It covers ethics and laws in conducting research. It also covers topics related to incidence and prevalence, standardisation, different types of study designs including cohort and case-control studies, randomised control trials and clinical trials in health statistics and elsewhere. Case studies will be drawn from areas such as sociology, market research, psychology, medical sciences and other areas as appropriate.

Survey research methods and get critical about design. Describe approaches and observe techniques. Sample data collection methods. Scale and graph procedures and figure out incidence and prevalence. Draw on case studies and assess and present data

This subject presents the basic principles, issues and scientific goals in space exploration, and traces its history and development with particular reference to manned versus unmanned space exploration, spacecraft design, launch and navigation, imaging and remote sensing. Public perception of space science and analysis of the costs, risks and benefits of space exploration are discussed with special reference to ethical and legal implications of topics, such as the use of radioisotope fuel sources, &#39;space junk&#39; and mining rights in space.

Launch through the cosmos and trace the history and progress of space exploration. Navigate the risks and benefits. Observe and explore crewed versus robotic galactic missions. Unearth ethical and legal debates. Probe public perceptions. 

This subject introduces R, one of the popular open source statistical programming languages commonly used in applied statistics and data science disciplines. Students will learn key programming principles of R and develop competence in programming in R which are essential for a statistician or data scientist to perform different types of statistical analyses.This subject was formerly known as STA60003 Basic Statistical Computing

Upskill and package up your computer and statistical knowledge. Form questions. Use SPSS software to select, modify, merge and apply data visualisation techniques. Investigate missing values and manage complex data files. 

This subject aims to provide an introduction to the birth, life and death of stars and the structure of our Galaxy. The emphasis is on conceptual astronomy rather than mathematical techniques.

Revolve around the Milky Way and classify stars. Illuminate stellar lifecycles from the birth of dazzling white dwarfs to fading red giants. Get deeply topical. Discuss dark matter and raise awareness of modern theory. Map out an astronomical topic. 

This subject develops students’ understanding of a range of statistical methods along with their assumptions and limitations of their application. It enables students to develop the capacity to carry out independent statistical analysis of data using a standard statistical software package and also aims to develop students’ abilities in effectively communicating the outcomes of statistical investigations. In addition, it will provide a foundation and motivation for exposure to statistical ideas subsequent to the Graduate Certificate (GC) degree.

Develop a number of statistical data techniques; assess theories and survey limitations. Increase analysis skills and translate investigation outcomes. Recognise statistical inference and sampling distributions. Transcribe interpretative summaries. 

This subject will introduce students to fundamental statistical areas of research design and linear models. It examines how multiple regression and Analysis of Variance (ANOVA) can be used to analyse experimental and observational research using a variety of research designs.
As the subject builds on the skills developed in STA10003 Foundations of Statistics, this prerequisite is strictly enforced.

Line up and calculate statistical modelling for a range of research designs. Examine how analysis of variance (ANOVA) and multiple regression methods are used to assess experimental and observational research data. Interpret results and write reports.

Analysis of Variance and Regression

This subject will provide an overview of the multi-disciplinary nature of astrobiology - combining geology, chemistry, biology and astronomy. It will investigate the origins and evolution of life on Earth, the interaction between life and its environment, and the search for life elsewhere in the Solar System and beyond

Navigate the origins and evolution of life on Earth. Study what matters in the universe and reach for the stars. Uncover the early Earth and the rise of life. Explore probabilities of life on other planets—what makes habitability and the signs of life.

Astrobiology and the Origins of Life

This subject extends the ideas developed in Statistical Practice 1 to include more advanced analyses, broaden the range of applications students are familiar with so that they will be able to carry out independent statistical investigations, and develop an awareness of the assumptions and limitations involved in the generalisation of results of such investigations.

Practice and advance your statistical knowledge and extend ideas. Produce an independent investigation. Get analytical and compare groups using parametric and non-parametric methods. Stop generalising, question assumptions and identify data limits. 

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