Register here to join our Applied Statistical Modelling & Health Informatics online information session on 4 December at 10am.
The Applied Statistical Modelling and Health Informatics course has been created to deliver a skill set and knowledge base in “multimodal” and “big data” analysis techniques, which are a recognised scarcity within UK Life sciences. You will receive world-class training in core applied statistical methodology, machine learning and computational methodology, and you will have the opportunity to apply your skills to real-life settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience. The course will apply to a broad spectrum of graduates preparing for a career in medical statistics and health informatics, or professional methodologists and clinical researchers working in the private or public health sector who are interested in state-of-the-art technologies training from world-class experts. This course is also suitable if you are a graduate in/work in the fields of psychology, medical/health sciences, bioinformatics, data science, statistics, maths, physics, engineering and natural science, The course will prepare participants for the ever-growing need for a sound scientific approach to processing information and generating knowledge in modern health services. Practical skills will be taught through applications to real-life settings in a world-leading research institution in mental health.
There is an increasing demand for individuals who can understand and manage information and information systems as well as analyse and interpret complex data in industry, public health sector and academia.
This programme offers a unique blend of training in applied statistics and health informatics science to enable graduates for roles in this rapidly emerging field of data-intensive medical research. Upon completion, you will have a solid understanding of the methodologies and application that are relevant to design and implement clinical research studies that take advantage of the increasing availability of multimodal and big data. This will include health data acquisition, storage, interoperability, data analyses, and interpretation and communication of findings. Postgraduate qualifications are often required to progress to senior positions.
Our course will help you to develop your career in the medical research and health sector, including public health service (NHS), pharmaceutical and computer companies, technology start-ups, government agencies as well as academia, and other scientific organizations. Knowledge of applied statistical modelling and data science will also open careers in other sectors such as banking, marketing, insurance, and consulting. It will also provide a strong foundation for students interested in obtaining a PhD in biostatistics, data science, psychology, medicine, or informatics with an emphasis on applications in health science.
There is an increasing demand for individuals who can understand and manage information and information systems as well as analyse and interpret complex data in industry, public health sector and academia.
This programme offers a unique blend of training in applied statistics and health informatics science to enable graduates for roles in this rapidly emerging field of data-intensive medical research. Upon completion, you will have a solid understanding of the methodologies and application that are relevant to design and implement clinical research studies that take advantage of the increasing availability of multimodal and big data. This will include health data acquisition, storage, interoperability, data analyses, and interpretation and communication of findings. Postgraduate qualifications are often required to progress to senior positions.
Our course will help you to develop your career in the medical research and health sector, including public health service (NHS), pharmaceutical and computer companies, technology start-ups, government agencies as well as academia, and other scientific organizations. Knowledge of applied statistical modelling and data science will also open careers in other sectors such as banking, marketing, insurance, and consulting. It will also provide a strong foundation for students interested in obtaining a PhD in biostatistics, data science, psychology, medicine, or informatics with an emphasis on applications in health science.
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