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AI, Economics and Policy
Build expertise at the intersection of AI, economics and policy.
Alternative Protein
Explore the intersection of engineering biology, food science, entrepreneurship and sustainable systems thinking in this exciting interdisciplinary field.
Analogue and Digital Integrated Circuit Design
Learn about integrated circuit design, spanning analogue, mixed-signal, and digital circuits.
Applied Biosciences and Biotechnology
Gain an in-depth understanding of modern bioscience research and acquire the skills needed to pursue a career in the field.
Applied Computational Science and Engineering
Discover how numerical methods and computational science can help solve large scale problems.
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Applied Machine Learning
Learn to design, implement, and evaluate machine learning systems that are uniquely optimised for the physical constraints of real-world hardware, edge computing, and silicon architecture.
Applied Mathematics
Equipping students with a range of transferable skills in mathematical modelling, analysis and computation for employment in industry and future research.
Applied Multiomics in Biomedicine
Learn how big data and experimental research can be harnessed to revolutionise biological sciences and biomedicine.
Artificial Intelligence
Receive intensive training in programming and the fundamentals of artificial intelligence.
Artificial Intelligence and Machine Learning
Develop advanced artificial intelligence and machine learning skills and apply these to real-world problems.
Artificial Intelligence Applications and Innovation
Learn AI fundamentals, explore real-world AI applications, develop skills for applied AI and innovation roles
Biodiversity, Carbon and Nature-based Solutions
Gain cutting-edge expertise in leveraging ecological processes to enhance biodiversity, carbon storage, and climate change solutions. Explore pathways to net zero, nature recovery, and biodiversity net gain.