项目背景
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更新时间:2024-07-08
开学时间9月
课程学制1年
学费34400.00/GBP
专业介绍
This programme covers computational and statistical methods as applied to problems in data-intensive medical research. As part of this programme, you will gain an understanding of techniques that are transforming medical research and creating exciting new commercial opportunities.You will learn how to link and analyse large complex datasets. You will also design and carry out complex and innovative clinical research studies that take advantage of the increasing amount of available data about the health, behaviour and genetic make-up of small and large populations. The programme draws on a range of areas, including epidemiology, computer science, statistics and other fields, such as genetics.The programme provides a good grounding in statistics and programming, and no prior knowledge is assumed. However applicants should ensure that evidence of their readiness for this kind of training is clearly presented either through their educational history or in their personal statement. Applicants whose first degree has little or no numerical content are unlikely to be accepted.
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语言要求
Write
6.5
24
75
总分
7
96
76
学术要求
专业领域:含significant计算或数学内容的临床类或科学类专业。 先修科目:统计学的基本概念,如抽样和变异,熟悉简单的统计检验,医学文献中用于假设检验的检验方法。
课程设置
Compulsory modules:必修模块 Data Methods for Health Research: 健康研究数据方法 Dissertation in Health Data Science: 健康数据科学论文 Basic Statistics for Medical Sciences: 医学基础统计 Principles of Health Data Science: 健康数据科学原理 Regression Modelling: 回归建模 Programming with Python for Health Research: 用Python编程进行健康研究 Optional modules: 可选模块 Advanced Statistics for Records Research: 记录高级统计研究 Machine Learning in Healthcare and Biomedicine: 医疗保健和生物医学中的机器学习 Public Health Data Science: 公共卫生数据科学 Essentials of Informatics for Healthcare Systems: 医疗保健系统信息学要点 Applied Computational Genomics: 应用计算基因组学 Advanced Machine Learning for Healthcare: 医疗保健高级机器学习 Artificial Intelligence in Healthcare Group Project: 医疗保健集团项目中的人工智能