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Biomedical Engineering (Neurotechnology)
Develop expertise in the science and technology related to nervous systems, brains function and devices in neurotechnology.
Computational Ecology and Evolution
Bring cutting-edge quantitative methods and biological concepts together to solve research problems.
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Computing (Artificial Intelligence and Machine Learning)
Deepen your knowledge and understanding of artificial intelligence and machine learning to prepare for a career in the computing industry.
Computing (Security and Reliability)
Enhance your knowledge of IT security and reliability to prepare for a career in the computing industry.
Computing (Software Engineering)
Specialise in the application of engineering to the design, development, and maintenance of software.
Computing (Visual Computing and Robotics)
Specialise in the study of vision, graphics, intelligent behaviour and biomedical image computing.
Environmental Data Science and Machine Learning
Apply computing techniques and machine learning to real-world environmental problems.
Renewable Energy with AI and Data Science: Geology and Geophysics
Apply computational techniques to geological and geophysical data to characterise sites for renewable energy.