Masters (Coursework)
Artificial Intelligence (AI) is one of the most promising technologies, driven by big data and advancements in computing power and algorithms. It has huge potential to transform economies and uncover new societal and environmental values. This course enables students to gain fundamental and advanced knowledge in data analytics and visualisation, machine learning, deep learning, and various aspects of AI. Students have opportunities to gain expertise in specialised areas such as Computer Vision or Natural Language Processing and to solve real-world problems. Hands-on experience with real-world research and industry projects enables graduates to manage the increasing challenges of creating and maintaining AI systems. Graduates from this course become socially responsible and technically competent as AI specialists, to help current and future industry across many sectors, such as banking and finance, healthcare, agriculture, infrastructure development, or natural resource management. This course is aimed at graduates from computing science, information technology or computer engineering, who wish to learn or extend their knowledge of AI in various contexts.
The postgraduate artificial intelligence program provides IT and computing professionals with the opportunity to upskill and meet the demands of this rapidly changing field. The course covers a broad range of current and emerging areas of AI including data analytics, neural networks, deep learning, reinforcement learning and ethics in AI. The course provides specialised subjects in areas including computer vision, and natural language processing to meet the growing industry demand for AI professionals with advanced technical capabilities and understanding of the risks and opportunities in this growing field.
This course provides ideal preparation for graduates seeking careers in AI and its related domains. Students in the course engage in practical, hands-on learning, using technologies to develop algorithms in various AI approaches.
Career options include AI Analyst, Machine Learning Engineer, AI Specialist, Computer Vision Engineer, Natural Language Processing Engineer.
The course totals 96 credit points of study, comprising a 30-credit-point stream of core subjects, 18 credit points of artificial intelligence options, and a 12-credit-point professional stream and 24 credit points of sub-major options followed by a capstone subject (either research or industry-based).
Where applicable, project topics should be relevant to students' professional career goals and should be an area of current research interest in their area of study.