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伯明翰大学Health Data Science专业

Health Data Science

专业排名

学制

1年

学费

32510.00英镑/年

雅思

6.5

主页 排名

专业介绍

This programme will provide students with a diversity of skills with hands-on expertise in harmonizing, integrating and analysing multimodal healthcare data.This programme is ideally suited to the needs of future health data scientists, enabling them to perform analyses and develop novel tools and methods for this rapidly growing field. It is aimed at students with diverse backgrounds from biomedical/medical domains, including clinical trainees, as well as Computer Science, Mathematics and Stati

移民相关

移民专业:否

就业前景

可从事的工作:该课程将为学生提供明确而令人信服的工作经验,包括在学术界、国家医疗服务体系和工业部门的工作经验,以及广泛的监督和指导安排,以最大限度地增加他们在这些环境中的接触机会。这不仅能让他们在心理/实践上做好准备,还能帮助他们找到进入相关职业领域的具体机会/联系方式。

如何申请

个人陈述:Passion for your subject – Demonstrate your academic interests, eg, further reading, favourite modules, related events like exhibitions, conferences and workshops. Person – Why you? Give evidence of your previous experiences, motivations, career goals. Preparation – Apply your skills to the skills listed in the entry requirements and course description. Always give evidence to prove you have these skills. These skills could be from academic work, employment, research placements, internships, societies or other roles. Place – Why here? Tailor the personal statement to the particular course: you can apply to more than one Masters course but each personal statement should be slightly different so that it is relevant to the individual course. Demonstrate that you have researched the course and the University. What do you like about Birmingham: staff interests, modules, resources, the postgraduate community?

推荐信:要求

申请截止日期:44743

测试申请录取成功率

采用最科学的人工智能算法,已为23127位学生申请到dream school,成功率96.33%。
免费测试

入学要求

医学/生命科学类专业,如医学、生物学、化学等。

计量科学类专业,如计算机科学、数学、物理等。

语言要求:

雅思总分:6.5

雅思听力:6

雅思阅读:6

雅思阅读:6

雅思口语:6

雅思写作:6

托福总分:88

托福听力:20

托福写作:21

托福口语:22

托福阅读:21

世界排名 数据来源: QS世界排名

QS排名

专业课程

Foundations of Computing Practices in Health Data Science:健康数据科学中的计算实践基础 Essentials of Mathematics and Statistics:数学和统计学要领 Data Analytics & Statistical Machine Learning:数据分析与统计机器学习 Health Data Fundamentals:健康数据基础 Epidemiology and Health Informatics:流行病学与健康信息学 Integrative Multimodal Data Analytics:综合多模式数据分析 Interdisciplinary Health Data Research Project :跨学科健康数据研究项目

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