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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.
Science Communication
Prepare for a range of science communication careers through academic and practical experience.
Mathematics
Engage with mathematical ideas that will develop your critical and intellectual abilities and introduce new ways of thinking.
Engineering Fluid Mechanics for the Offshore, Coastal and Built Environments
Gain advanced knowledge of fluid mechanics to solve real-world marine and built-environment challenges in renewable energy, environmental pollution, and urban climate.
Cancer Biology (Cancer Innovation)
Learn to tackle biological and medical challenges in cancer, with a focus on translating cutting edge bio- and deep-tech research from concept to application.
Clinical Research (Human Nutrition) MRes
Receive broad training and practical experience in designing, implementing and reporting clinical studies.
Concrete Structures
Learn to design, analyse and assess concrete structures such as bridges and buildings.
Cancer Technology
Develop a unique understanding of cancer from a bioengineering perspective.
Machine Learning and Big Data in the Physical Sciences
Deepen your understanding of the methodologies used in research involving large data sets.
Epidemiology (MSc)
Apply statistical and mathematical methods to investigate risk, control and prevention of infectious and chronic diseases.
Chemistry with Management
Deepen your understanding across modern interdisciplinary chemistry and develop your management potential.
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