The Master of Computing (Advanced) is a 2- year full-time (or equivalent part-time) degree targeting students who wish to enter industry in an R&D or leadership role or who wish to pursue a PhD. Master of Computing (Advanced) graduates will deepen their existing 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, are likely to choose to specialize in artificial intelligence, human centered design and software development, or data science. The program culminates in a capstone individual research project requiring students to complete a substantial research thesis. Students may be awarded up to 48 units of credit. The number of units of credit a student receives will be determined on a case by case basis and will be influenced by their background and focus of their earlier studies. Career Options Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide. The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row. Employment Opportunities Computing 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 study such as a PhD. 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, Human-Computer Interaction Specialist, Software Developer, Embedded systems developer, Network Architect, Systems Analyst, Computer Engineer, Advanced Software Solutions Engineer and Software Architect. Learning Outcomes Upon successful completion, students will have: Professionally 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.