核心信息
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课程概览
Combining theoretical teaching with hands-on computational practice, this MSc will train you in the knowledge and techniques you’ll need to apply artificial intelligence (AI) successfully, ethically, and in a robust way to research challenges in the life sciences. You’ll explore the links between biological brains and artificial agents, understand AI’s current role in life sciences research, and master the fundamental computational skills needed to accelerate scientific discovery. Explore your modules in detail This interdisciplinary course brings together perspectives from biosciences, psychology, health, engineering and beyond. You’ll cover programming languages R and Python, machine learning techniques, and statistical and mathematical principles, before learning about applications of AI that are revolutionising life sciences, from natural language processing for text analysis, to the review of medical images. The biggest part of the course is the research project in artificial intelligence for life sciences. Here you’ll apply the knowledge and computational skills you’ve gained to work on a project that contributes to a bigger research challenge, either independently or part of a small team under the supervision of one of our leading academics. Example research project topics could include:
录取要求
Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules. We accept degrees in the following subject areas: You should have studied at least one module on the topic of either Probability, Statistics, or Quantitative Analysis. We assess each application on the basis of the applicant’s preparation and achievement as a whole. We may accept applicants whose qualifications don’t meet the published entry criteria but have other experience relevant to the course.
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课程模块
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就业/职业信息
This MSc will give you knowledge of cutting-edge artificial intelligence tools and the skills to apply them to research problems in the life sciences. It’s great preparation for research careers in the field of life sciences within academia or industry. If you’re thinking about continuing your research training, you'll be well-equipped to pursue a PhD applying AI techniques to the most challenging problems in the biosciences, psychology, health, engineering and beyond.