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Machine learning serves as a crucial method for processing and deriving insights from extensive datasets, forming the foundation of big data analysis. Many industries now demand experts proficient in both machine learning and big data handling. Key applications span diverse fields such as visual recognition systems, computational imaging, voice and text interpretation, autonomous robotics, self-driving vehicles, industrial automation, digital search engines and recommendation systems, algorithmic trading and financial risk assessment, medical diagnostics, as well as personal and national security systems.
The Master of Computer Science (Machine Learning and Big Data) program is designed to equip Computer Science or Information Technology graduates with the expertise needed to navigate the fast-evolving ICT landscape. This advanced degree proves particularly beneficial for professionals aiming to transition into IT leadership positions. Additionally, it provides a solid foundation for those considering academic research pathways, including Master of Philosophy and doctoral programs.
Recognised Bachelor degree with an equivalent average mark of 60% in any area. Applicants with other qualifications and substantial relevant professional experience may be considered.
English Requirements
IELTS Academic Overall Score of 6.5, reading 6.0, writing 6.0, listening 6.0, speaking 6.0; TOEFL (Internet-based) score of 86, reading 18, writing 18, listening 17, speaking 17; PTE Academic overall score of 62 All bands 54