The Graduate Diploma of Information Technology (GDIT) is designed as an embedded qualification within the Master of Information Technology. The course commences by building essential technical knowledge and skills in programming, databases, project management, and information systems, providing students with a strong foundation in core areas of information technology. It then progresses to developing broader and more advanced technical capability across key areas including cyber security, data analysis, cloud computing, and systems analysis. The GDIT prepares graduates for junior to intermediate IT roles and provides a direct pathway into the Master of Information Technology for those wishing to further develop advanced technical and professional skills.
Graduates of the Graduate Diploma of Information Technology will be able to:
Apply contemporary information technology knowledge and skills to solve a range of information technology problems.
Evaluate opportunities and challenges in the development of information technology solutions in organisational and societal contexts.
Create justifiable solutions to information technology problems using industry-standard methodologies.
Communicate complex information technology concepts and solutions effectively to both technical and non-technical stakeholders.
Articulate an understanding of professional, ethical, and sustainability behaviours as applied to the information technology profession.
Graduates of the GDIT will be prepared for junior to intermediate technical roles, including:
Junior Network Administrator
Systems Administrator (Junior)
ICT Support Engineer
Junior Cyber Security Technician
Cloud Support Associate
The GDIT also provides a direct pathway to the Master of Information Technology.
1 year (8 units, 80 credit points)
Up to 2 years (domestic students only)
This unit introduces students to the key concepts and technologies of information systems and computer networks used in modern organisations. Students develop an understanding of system components, networking fundamentals, and emerging technologies such as cloud computing, the Internet of Things, artificial intelligence, and ubiquitous computing. The unit also addresses privacy, ethical, and security issues, and develops students’ research and critical analysis skills.
This unit provides a foundation in programming concepts using Python. Students learn procedural and object-oriented programming paradigms, develop skills in designing, coding, testing, and debugging programs, and apply appropriate data structures and algorithms. The unit also introduces software testing, exception handling, and the use of Python packages for data analysis.
This unit introduces industry-standard project management methodologies, including traditional and agile approaches, as applied to information systems and IT projects. Students learn to plan, schedule, and manage projects, evaluate project management tools, assess risks, and communicate effectively with stakeholders. The impact of emerging technologies, including AI, on project management practices is also explored.
This unit introduces the principles of database design and development. Students learn conceptual, logical, and physical database design, relational data modelling, and industry-standard database languages. Topics include transaction management, performance tuning, security, and contemporary approaches to managing structured and unstructured data. The unit also explores the role of databases in AI-driven systems.
This unit introduces students to the Systems Development Lifecycle (SDLC), including waterfall and agile approaches. Students learn requirements elicitation, specification, and user-centred design techniques. The unit develops practical skills in analysing business problems and designing information system solutions using industry-standard tools and methodologies.
This unit provides a comprehensive introduction to cyber security concepts, including network security, cryptography, cyber threats, risk management, and incident response. Students examine legal and ethical considerations and explore how AI technologies influence cyber security practices.
This unit introduces statistical analysis, data analytics tools, data visualisation techniques, and interpretation of data sets. Students evaluate data quality, bias, and ethical issues and explore AI-supported predictive analytics and big data analysis.
This unit examines cloud computing architectures, service models, and business applications. Students gain hands-on experience deploying cloud solutions and explore virtualisation, containers, automation, orchestration, and emerging cloud-related technologies.
Applicants must meet one of the following requirements:
Applicants must also meet AHE’s English language proficiency requirements.
Admission CriteriaTuition Fee: AUD 31,200
Application Fee: AUD 250
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