Accounting in Context is the first core subject required in the accredited accounting program, but can be included as an elective in other programs. It is designed to provide an overarching context about the purpose and usefulness of accounting information and explain a range of definitions and terms used in accounting and business.

Accounting in Context will introduce accounting reports and their interpretation, and explore the impact of policy and measurement methods on accounting information and business decisions. Successful completion of the subject will equip participants with an understanding of the importance of accounting to society and allow them to engage with the next core accounting subject; Financial Accounting Applications.

This subject builds on the first and second year accounting subjects, exploring financial reporting issues in greater depth and challenging students to question the foundations of financial reporting. Topics are on the International Financial Reporting Standards (IFRS) and the Australian Accounting Standards Board equivalents (AASB).

The subject develops graduate capabilities centred upon critical thinking skills, technical skills and professional judgement and their application for solving practical financial reporting and environmental social governance issues.

This subject enables nursing and midwifery students to investigate and discuss the concepts of health and illness in the context of Aboriginal and Torres Straight Islander communities. The subject fosters the ability to holistic, culturally sensitive and appropriately adaptable when meeting the health needs of Aboriginal and Torres Strait Islanders.

This subject considers the design and implementation of accounting information systems as a data model for resource allocation and management of an organisation. Students are involved in a range of activities to build knowledge and skills in this growing area including identifying current trends in information management and changing regulatory requirements.

Students learn to use a range of tools for the presentation of data and conceptual models, and articulate the value of information, business intelligence, and information security.

Abnormal Psychology focuses on the study of behaviours that cause distress or dysfunction or are judged as deviant within the individual’s culture. We will examine definitions of abnormality, ways of assessing and diagnosing abnormality, theories of the causation of psychological abnormality and treatments for recognized psychological disorders.

This subject is an introduction to the biological and neuroscientific bases of human behaviour. You will learn about the chemistry of life, the molecular basis of life, the cell and some of the major organ systems of the human body with particular reference to the nervous, endocrine and sensory systems. The subject has a significant laboratory component which reinforces lecture and text material. You will be introduced to the biological and neuroscientific concepts necessary for a thorough understanding of areas of psychology such as abnormal psychology, cognitive processes, developmental psychology, human learning, and physiological psychology.

Bioscience 2 introduces the concepts associated with alterations in health across the lifespan. It will introduce pathophysiology, pharmacology, immunology and microbiology related to health breakdown due to injury or disease. This subject specifically examines the impact of microorganisms on people’s health and the body’s natural defences when dealing with infections and injuries and its significance to person-centred care.

Building on the Social Research Methods subject, students will continue their education in social research. Students will gain experience in using tools and techniques for the collection, analysis and interpretation of quantitative and qualitative data using real world examples. Students will learn to gather primary data through surveys and interviews, then support their findings with secondary data.

You will learn how to use computers and computer programming for data science. After briefly discussing spreadsheet systems, you will gain an insight into programming in the statistical system “R” in depth. Finally, we will also look at other special purpose languages briefly (eg. SQL).