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Master of Information Technology (MC-IT) // Attributes, outcomes and skills
About this course
Professional accreditation
Australian Computer Society
Intended learning outcomes
On completion of this course students should have:
- Expertise in core principles and practices in information technology
- Analytical skills and competencies in problem solving
- A sound fundamental understanding of the principles and methods of information technology
- Demonstrable competencies in the educational and professional standards of the professional institutions and boards with which the course is accredited
- A broad knowledge base of information technology so as to facilitate effective communication with those involved in the IT industry
- Computational skills necessary to solve theoretical and practical problems for further professional development and for meeting future changes in IT
- Verbal and written communication skills that enable them to make a meaningful contribution to changing face of the IT industry
- Professional ethics and responsibility towards the IT profession and the broader community.
Generic skills
Graduates will:
- Have the ability to demonstrate advanced independent critical enquiry, analysis and reflection
- Have a strong sense of intellectual integrity and the ethics of scholarship
- Reach a high level of achievement in writing, research or project activities, problem-solving and communication
- Be critical and creative thinkers, with an aptitude for continued self-directed learning
- Be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines
- Have a set of flexible and transferable skills for different types of employment; and
- Be able to initiate and implement constructive change in their communities, including professions and workplaces.
Graduate attributes
Graduates have a solid foundation in programming, algorithms, complexity, network programming, database systems, project management, and advanced information technology and can choose to specialise in distributed computing, human-computer interaction, artificial intelligence, or cyber security. Elective subjects are available in areas as diverse as bioinformatics, database systems, enterprise computing, geomatics, information systems, machine intelligence, programming languages, project and change management, security, and software engineering.
Last updated: 10 February 2026