Master of Computing - Machine Learning

The Machine Learning specialisation offers a deep insight into the world of machine learning and its current frontiers. Students will learn about machine learning, intelligent agents (reinforcement learning, information-theoretic foundations), and bio-inspired computing (neural networks, and evolutionary algorithms).Learning Outcomesdemonstrate a solid understanding of a variety of Machine Learning approaches.formalise real-world problems and select the most appropriate Machine Learning method to solve such a problem.implement Machine Learning algorithms and design and carry out empirical evaluationscompare and critique all state-of-the-art Machine Learning approaches.understand the interaction of current industry trends and the state-of-the-art Machine Learning approaches.

Applicants must present one of the followingA Bachelor degree or international equivalent with a minimum GPA of 5.0-7.0A Bachelor degree or international equivalent with a GPA of 4.0-7.0 with at least 3 years of relevant work experienceThe GPA for a Bachelor program will be calculated from i a completed Bachelor degree using all grades and or ii a completed Bachelor degree using all grades other than those from the last semester or equivalent study period of the Bachelor degree The higher of the two calculations will be used as the basis for admission