Nội dung bạn sẽ được học
Health data science is transforming healthcare, driven by advances in AI, electronic health records, and wearable technology. The MSc in Applied Statistical Modelling and Health Informatics provides rigorous training in statistics, data science and health informatics - equipping you for a career at the forefront of this rapidly evolving field. Learn from experts in topics like computational analysis, statistical modelling, machine learning and artificial intelligence at the world-leading Department of Biostatistics and Health Informatics. You'll gain hands-on experience working with real-world health data, including clinical trials, longitudinal studies, omics data and large-scale healthcare datasets. Our students are graduates and professionals from diverse fields ranging from psychology to computer science. This course prepares you for further research, PhD study, and a variety of roles such as medical statistician, healthcare analyst, clinical AI specialist, or entrepreneurial roles in health-tech, start-ups and spinouts. Key benefits Join a department advancing methods and delivering real-world impact on patient care and public health. Learn Python and R programming and other essential tools and software for statisticians and health informaticians. Gain hands-on experience analysing complex and multimodal health data and learn how to translate data into insight and impact. Apply your skills through a dissertation working alongside a research team addressing real-world health challenges. Engage with leading research groups such as the Precision Health Informatics Data Lab, The Mental Health & Neuroscience Clinical Trials Statistics Group, The Prediction Modelling Group and the Voice and Speech Processing Group.
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Institute of Psychiatry, Psychology and Neuroscience
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Dành cho sinh viên quốc tế
A minimum 2:1 undergraduate Bachelors (honours) degreeIf you have a lower degree classification, or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a Masters or PGDip).Programme specific requirementsA bachelors degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree, if you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.Other degrees or professional qualifications may be acceptable, such as the Graduate diploma of the Royal Statistical Society.
