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Environmental Data Science and Machine Learning
Apply computing techniques and machine learning to real-world environmental problems.
AI, Economics and Policy
Build expertise at the intersection of AI, economics and policy.
Geotechnical Engineering with Data Science
Combine geotechnical expertise with data-driven methods, including machine learning, to enhance analysis, design, and decision-making in ground engineering.
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Computing (Visual Computing and Robotics)
Focus on the implementation and evaluation of systems that depend on computer vision or computer generated imagery.
Analogue and Digital Integrated Circuit Design
Learn about integrated circuit design, spanning analogue, mixed-signal, and digital circuits.
Control, Robotics and Optimisation
Study aspects of control theory and optimisation and their application to the design of automated systems.