Machine Learning Engineer Courses

The Bachelor of Computer Science (Artificial Intelligence) delves into the transformative potential of AI and machine learning in contemporary society. Students acquire hands-on expertise with cutting-edge methods and technologies, encompassing cloud computing and software structures. The course offers real-world AI experiences across diverse industries through Work Integrated Learning. Emphasising areas such as robotic programming, expert systems, knowledge representation, data visualisation, and machine learning, it equips graduates to meet the pressing AI needs of various modern sectors..

The Master of Information Technology (Artificial Intelligence) is designed to mould professionals skilled in creating sophisticated systems with capabilities for learning, planning, and reasoning. Students will be immersed in pivotal areas including knowledge representation, machine learning, and data mining. Furthermore, they will gain a comprehensive understanding of the ethical dilemmas posed by digital innovations and the security facets of AI applications. This course promises a thorough grounding for those passionate about advancing in the rapidly evolving sphere of artificial intelligence..

The Bachelor of Science (Honours) (Neuroscience) delves into the intricate workings of the brain and nervous system, a rapidly advancing domain within biological sciences. Neuroscience, with its multidisciplinary roots, stands as a distinct discipline. This field is witnessing global growth, merging seamlessly with areas like engineering, computation, economics, and business, paving the way for diverse applications and understanding..

The Bachelor of Information Technology (Data Science) focuses on imparting foundational principles and hands-on skills in data collection, management, and interpretation across diverse data forms. Students will gain expertise in extracting insights from vast and intricate data sets, encompassing both structured and unstructured data. The curriculum includes studies in database systems, data mining, document scrutiny, artificial intelligence, and machine learning, ensuring a well-rounded understanding of data science disciplines..

The Master of Data Science equips students with the ability to apply analytical methodologies, effectively manage large data sets, grasp foundational statistical and machine-learning concepts, and evaluate and articulate the impact of new technologies. It delves into contemporary data management and analysis tools, including data collection, storage, visualisation, and internet-based applications. The course readies students for an international career amidst the global ascent of data science..