Note
Students who do not meet the admission requirements may be eligible for admission to the Graduate Diploma in Artificial Intelligence (C06147), the Graduate Certificate in IT (Data Analytics stream) (C11142), or the Graduate Certificate in IT Studies (C11247).
This course is tailored for IT and computing graduates and related disciplines eager to specialise in AI, addressing the skills gap in industries like finance, healthcare, and agriculture. Choose this course to stay ahead in the AI revolution, gaining both foundational and advanced insights into data analytics, machine learning, and AI applications.
Distinctively, the program offers specialisation in high-demand fields such as Computer Vision and Natural Language Processing to solve real-world problems. You'll acquire the ability to design, implement, and manage AI systems responsibly and effectively.
You will learn through hands-on projects, collaborating with peers and experts to apply AI technologies in real-world scenarios. This approach ensures you develop both the technical proficiency and the practical experience necessary for a successful career in AI.
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.
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Course aims
This course aims to prepare graduates with a thorough and practical grounding in a range of contemporary AI topics, as well as providing underpinning knowledge of data analytics, machine learning and explainable AI. The course also provides preparation for conducting academic research or engaging in industry projects.
The course is designed for IT and computing professionals interested in moving into an AI and data analyst career as much as for those already working in data analysis, AI or related jobs to expand their expertise and advance their career.
