Master of Mental Health Nursing (Online) curriculum
Curriculum Details
- 3 years part-time online study
- 12 units
- 120 credit points
You can complete ACU’s Master of Mental Health Nursing (Online) in as little as 18 months with full-time study. Delivered 100 per cent online, you can study around your existing commitments with convenience and flexibility.
To graduate, you’ll need to acquire 120 credit points. You’ll undertake either a project or research stream comprising four core units and eight stream based units.
To qualify for the Master of Mental Health Nursing (Online) via the Project stream, a student must complete 120 cp from the Schedule of Unit Offerings, inclusive of:
- 40 cp from Specified Mental Health Nursing Units
- 60 cp from Project Stream Units
- 20 cp from Elective Units
To qualify for the Master of Mental Health Nursing (Online) via the Research stream, a student must complete 120 cp from the Schedule of Unit Offerings, inclusive of:
- 40 cp from Specified Mental Health Nursing Units
- 80 cp from Research Stream Units
Please note: students will complete either HLSC642 or HLSC646.
This course is offered over four 10-week terms per year. You’ll access your learning materials from the start of each term and progress at your own pace. Some courses require on-campus intensives or in-person placements.
If you have any questions regarding units, study options, course structure, or any other related concerns, you can speak with an enrolment adviser on (02) 9158 7744 or schedule an appointment.
Specified Mental Health Nursing Units (40CP)
Credit points
Research Stream Units (80CP)
Credit points
Understanding, using and interpreting statistics is crucial to health science research and practice, particularly in monitoring health outcomes and decision-making processes about interventions. This unit will develop students’ knowledge of fundamental statistical concepts, such as descriptive and inferential statistics, common statistical tests and statistical methods frequently used in health science research. This will include hypothesis testing, estimation, associations, modelling relationships and prediction using different methods such as regression analyses. Throughout the unit, students will consolidate their understanding of statistical theory through its application to practice. While there are some formulae and computational elements to the unit, the emphasis is on interpretation and concepts. Besides the theoretical material, this unit will also enable students to run basic analyses using common statistical software. Using this software, students will analyse simulated health science data sets and then interpret the results obtained. This unit aims to develop students’ statistical understanding and analytical expertise, which can then be applied to practice through critical appraisal statistical methods used in health science research.
The aim of this unit is to develop students’ advanced knowledge and practical skills in qualitative research methods relevant to health science contexts. Students will critically examine key principles of qualitative inquiry, including research paradigms, methodologies, ethics, and design, to support the design and conduct of rigorous qualitative research studies. The unit focuses on critical appraisal, synthesis, and scholarly justification, preparing students for independent research and doctoral-level (PhD) inquiry.
This unit develops postgraduate students’ ability to critically appraise, justify decisions, interpret, and apply health research within evidence-informed practice. These capabilities are essential for evidence-informed decision-making and translating research into improved health-related outcomes. The unit introduces key philosophical and methodological foundations of research, alongside practical skills in formulating research questions, conducting literature searches, critically appraising evidence, and synthesising research findings. Students will also explore how research translates into practice through knowledge translation and implementation science, and how research integrity and ethical principles guide responsible conduct in health research. This unit aims to develop students’ practical research skills and their ability to critically assess the quality, ethics, and application of health science research.
Project Stream Units (60CP)
Credit points
This unit develops postgraduate students’ ability to critically appraise, justify decisions, interpret, and apply health research within evidence-informed practice. These capabilities are essential for evidence-informed decision-making and translating research into improved health-related outcomes. The unit introduces key philosophical and methodological foundations of research, alongside practical skills in formulating research questions, conducting literature searches, critically appraising evidence, and synthesising research findings. Students will also explore how research translates into practice through knowledge translation and implementation science, and how research integrity and ethical principles guide responsible conduct in health research. This unit aims to develop students’ practical research skills and their ability to critically assess the quality, ethics, and application of health science research.
Elective Units (20CP)
Credit points
Knowledge represents primary sources of truth, a crucial and valuable asset supporting the health system. The current digital health revolution has sped up the acquisition of new knowledge. The amount of new knowledge generated is far too much for any one person to be aware and make use of. All health-related knowledge needs to be readily accessible when required to support decision making at any level within the healthcare system. No clinician has the time to wade through multiple documents in order to make use of the best available evidence. In this unit, students will be introduced to the core concepts in data, information and knowledge management within a digital health ecosystem, focusing on the need to comply with a number of health informatics standards, developed to meet local, national and global professional practice and research network needs.
Students will learn how knowledge can be represented as computable formalisms to enable computers to make use of and integrate clinical guidelines and protocols within health information systems and/or any health-related application or to make this knowledge accessible on-line as and when required. Key concepts will include electronic knowledge processing of timely new knowledge, governance and knowledge use at points of decision making throughout the digital health ecosystem. The aim of this unit is to equip students with the knowledge, understanding and skill required to promote compliance with scientific principles and legislative requirements in relation to health knowledge management in order to advance the preservation of data privacy and security, to support human dignity and safety in a manner that benefits the population at large.
Health data is foundational to safe, effective and interoperable digital health systems, and the ability to understand, model and govern these data is essential for health and ICT professionals. Students will develop core high-level competencies in health data structures, standards, terminologies, system architectures and governance frameworks, supporting evidence-based decision making, digital transformation and the safe use of health technologies in clinical and organisational settings. Through the study of digital health ecosystems, electronic health records, interoperability standards, data models, ontologies, storage platforms and governance systems, they will learn how data are created, managed, exchanged and safeguarded across the health sector, with the unit integrating practical and strategic perspectives to support the application of standards, enhance system usability and ensure ethical and legislative compliance in the use of health information.
By engaging with real-world case studies, emerging technologies and contemporary data practices, students will develop the knowledge required to contribute effectively to digital health design, implementation and policy development. The aim of this unit is to enable students to understand and apply health data standards that support safe, interoperable and future-ready digital health systems.
Digital transformation is fundamental to the delivery of safe, efficient and person-centred healthcare, and the ability to understand, design and implement transformative digital practices is essential for health and ICT professionals. Students will develop core capabilities in systems thinking, digital maturity assessment, governance, human-centred design and the strategic use of enabling technologies, supporting improved clinical outcomes, enhanced patient and provider experience, and sustainable organisational innovation. Through the study of digital health ecosystems, technology platforms, data, artificial intelligence, automation, change management and evaluation frameworks, students will learn how digital solutions are conceived, developed, implemented and measured across diverse healthcare environments, with the unit integrating practical and strategic perspectives to strengthen adoption, promote quality, enhance safety, and support clinical decision making.
By engaging with real-world case studies, emerging technologies and contemporary digital health practices, students will develop the knowledge and applied skills required to contribute effectively to digital transformation, service redesign and innovation across the health sector. The aim of this unit is to enable students to understand and apply digital transformation principles that support safe, scalable and future ready healthcare systems.
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