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MSc, PGCert, PGDip Applied Statistical Modelling and Health Informatics

伦敦国王学院

King's College London University of London

UK英国

  • 学历文凭

    学历文凭

    Masters Degree (Taught)

  • 专业院系

    专业院系

    Biostatistics

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

Standard requirements

A minimum 2:1 undergraduate Bachelor’s (honours) degree

If you have a lower degree classification, or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a Masters or PGDip).

Programme-Specific Requirements

A bachelor’s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree, if you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.

Other degrees or professional qualifications may be acceptable, such as the Graduate diploma of the Royal Statistical Society.

 

IELTS: 7.0 overall with a minimum of 6.5 in each skill. TOEFL: 100 overall with a minimum of 25 in writing and 23 in each of the other skills.

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  • 雅思总分:7
  • 托福网考总分:100
  • 托福笔试总分:160
  • 其他语言考试:Pearson Test of English (Academic) - 69 overall with a minimum of 62 in each communicative skill

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课程简介

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 inwork in the fields of psychology, medicalhealth 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.Key benefitsDevelop your skills in multimodal and big data analysis techniques.A unique flexibly structured programme ideal for researchers in industry and academia hoping to obtain methodological skills to boost their research excellence and employability.Specialist careers for those interested in applied statistical modelling and health informatics within a modern information and knowledge-based medical research setting.Valuable insight from those working at the cutting edge of these fields.Learn how omics, electronic health records, social media, wearables and smartphone data are used to benefit the patient.Apply your skills to real-life health settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.Access the IoPPN’s statistical and health informatics research groups and benefit from our links with industry and the NHS.Benefit from outstanding career, networking and mentoring opportunities.High levels of student experience - The MSc achieved 87% overall satisfaction in the 20234 postgraduate taught experience student survey.Our course is to meet the growing need for a graduate training course that focuses on methodological skills to respond to problems of “big data” of complexes diseases, which is underpinned by strong statistical methodology and real-world application.” There is an increasing demand for the acquisition, storage, retrieval and use of information within private and public sector institutions engaged in health research. The range of modern medical data is vast, from patient records, genetics, other omics and imaging data to real-time measures of physiological responses from wearable sensors, smartphone social media use and environmental data. We will provide you with the necessary state-of-the-art statistical modelling and health informatics techniques to manage and evaluate this data. You will receive training in key methodological techniques underpinning “big data” acquisition, information retrieval and analysis using prediction modelling and theory-driven analyses approaches.
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关于伦敦国王学院

伦敦国王学院成立于近200年前,虽然它从建校至今经历了不同的变化,但它始终是世界上最负盛名的大学水平的学术学院之一,这一声誉是当之无愧的。学院保证那些获得国王学院录取通知书的学生跟随学生所选领域的领先专家学习,并获得高质量的教育。学院还提供最先进的设施,无论是医学培训实验室、现代工作室还是专门的学科图书馆,都充满了学术成功所需的各种资源。国王学院坐落于伦敦市中心,是这个城市的重要组成部分。学生将能享受到就读该学院诸多好处,该学院与许多主要组织建立了伙伴关系和合作关系,其中大部分组织都在伦敦附近。学生有机会在闲暇时间享受大量的休闲、娱乐和餐饮,当然,去不同地方的交通也很方便。国王学院拥有多样化的学生群体,非常欢迎国际学生入读。学院有专门的支持团队,帮助学生处理申请流程和签证,并为需要额外支持的学生提供预科补充课程和学期前英语课程。来自世界各地的学生可以在国王学院就读,并享受世界一流的教育,通过努力学习,学生将获得高度充实的职业生涯。国王大学的支持网络非常出色,并面向所有学生。遇到任何可能阻碍学生学习的问题,无论是精神或身体健康问题、财务问题还是职业指导,学生都会得到帮助。

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