Master Of Computing

The Master of Computing is a 2-year full-time (or equivalent part-time) degree with two target audiences: graduates without a computing background who wish to acquire a solid knowledge of computing, and graduates with a computing or information technology background who wish to broaden and deepen or refresh their knowledge. The program is professionally accredited by the Australian Computer Society. Master of Computing graduates will develop a deep knowledge and understanding of professional software development and computing practices. Students have the opportunity to participate in many cutting edge courses and, depending upon their background and interests, may choose to specialize in artificial intelligence, human centered design and software development, or data science. The program culminates in a capstone project: either working in small groups with industry partners, with researchers, or in start-ups; or by undertaking a small research project supervised by an academic. Students with a computing or information technology Bachelor degree or Graduate Diploma may receive up to 48 units of credit allowing them to complete the program in less than the usual 2-year time frame. On completion of 48 units, students may exit with a Graduate Diploma of Computing. Students completing the Master of Computing with a GPA greater than 6 may transfer to the Master of Computing (Advanced) with up to 48 units of credit. Employment OpportunitiesComputing jobs are currently projected to be amongst the fastest growing occupations of our time - so there is no shortage of jobs. This degree can be utilized to access wider a corporate career, as well as a path to further academic undertakings. Graduates are ideally positioned to take on challenging roles in their chosen sectors and become leaders in the ICT industry. They can work across a range of industries in a variety of roles, including Data Mining Specialist, Big Data Analyst, and Human-Computer Interaction Specialist, Software Developer, and Embedded systems developer, Network Architect, Systems Analyst, Computer Engineer, Advanced Software Solutions Engineer and Software Architect. Learning Outcomesprofessionally apply systematic computing approaches to address complex, multi-disciplinary real-world computing problems in a variety of domains. Synthesize and proficiently apply advanced, integrated technical knowledge from their specialization and other elective areas of study and the underpinning sciences and computational methods. Identify and critically evaluate current developments and emerging trends within their specialization and other elective areas of study. Understand the contextual factors that influence professional computing practice, and identify the potential societal, ethical, and environmental impact of computing activities. Communicate effectively with colleagues, other computing professionals and the broader community employing a range of communication media and tools.