Sobre este curso
Data de início
2020 - 2021
Doctor of Philosophy
O melhor curso na melhor universidade para você
The information provided on this page was correct at the time of publication (November 2019). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas The Oxford EPSRC CDT in Health Data Science offers opportunities for doctoral study in computational statistics, machine learning and data engineering within the context of ethically-responsible health research. The Oxford EPSRC Centre for Doctoral Training (CDT) in Health Data Science offers a four-year doctoral programme, beginning with two terms of intensive training in core data science principles and techniques. This training - and subsequent research supervision - is provided by leading academics from the departments of Computer Science, Statistics, Engineering Science, Medicine and Population Health. The first term addresses fundamentals of data science: ethics and data governance, computational statistics, machine learning and data engineering. The second term addresses the specific challenges of health data - including genomics, imaging and sensor data - and the methodologies needed for large-scale, data-driven health research. Each term ends with an extended, team-based data challenge, with engagement from industry and healthcare partners. The Centre is based in the Oxford Big Data Institute. The Institute is an analytical hub for multi-disciplinary working at Oxford, connecting world-leading expertise in statistics, computer science and engineering to data-driven research in clinical medicine and population health. It is also home to the newly-established Wellcome Centre for Ethics and Humanities. The Institute houses strong research groups in genomic medicine, image analysis, mobile and sensor data, infectious diseases, large-scale clinical trials, ethical aspects of healthcare delivery and the ethics of health research. Research groups in partner departments are addressing related challenges in data science: machine learning, knowledge representation, healthcare economics and cybersecurity. Shortlisted applicants will be asked to select at least two possible research areas from a list of examples provided, and to be ready to discuss these briefly at interview. Successful applicants will undertake two short placements in the second half of the first year, before settling upon a research project for the subsequent three years. For many students, the placements and the project will be within the areas originally selected; however, other options will be available. Each student will benefit from dual supervision for the duration of their research project, with at least one of the two supervisors having a strong background in core data science. Many students will wish to pursue a project in collaboration with a partner organisation: a technology company such as Elsevier, NVIDIA or Sensyne Health; a pharmaceutical company such as GSK or Novartis; or a research organisation such as the Blockchain Research Institute or the Cancer Research UK Oxford Centre.
Quer saber se pode entrar nesta Universidade?
ENTRE EM CONTATO