• 专业概况
• 所属院系
• 中国学生入学要求
• 课程信息

专业概况

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Overview

Our Data Science and Analytics for Health MRes degree provides a comprehensive training in the management, modelling and interpretation of health and healthcare data used by clinical, behavioural and organisational sources. These skills will enable you to extract valuable empirical evidence to better understand the causes of disease, and more accurately predict and evaluate health outcomes and health service needs.

The course draws on recent advances in information technology, data management, statistical modelling (for description/classification, causal inference and prediction), machine learning and artificial intelligence. It intends to equip health data scientists and health data analysts with the skills required to: harness the empirical insights available within large and varied data sources; and apply these to pressing clinical, social and organisational questions within the broad and varied context of health and healthcare services.

The programme is designed to enable you to develop both the technical and applied skills required for addressing real?world challenges in real?world health and healthcare contexts.

This course draws together:

established expertise in applied data science relevant to the statistical modelling of complex data and the use of machine learning and artificial intelligence to accelerate the application of modelling for insight and discovery through causal inference and prediction

key public and private sector partners with extensive experience of managing a range of complex health and healthcare data sources, and harnessing these to inform professional practice, service delivery, public policy and commercialization.

Learning and teaching

Campus?based blended learning with workplace?based research project supervision.

On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

Career opportunities

On completion of this course, you will be strongly positioned to enter an exciting and rewarding career path in one of at least three main areas:

• as skilled data science researchers in research?intensive settings (including academia) – with good research funding prospects and substantial potential for societal and economic impacts arising out of the outputs from your applied, workplace?based health data science projects;
• as health and healthcare data science entrepreneurs – developing business ideas based on the application of your advanced data science skills in extended workplace?based research projects within the health domain; and
• as key research and development staff within public, private/commercial or voluntary sector organisations – generating and capitalising upon the novel insights and discoveries accessed through the application of advanced data science techniques to rapidly expanding clinical, behavioural and operational data sets.

所属院系

进入哪个院系学习？ School of Computing

中国学生入学要求

为来自中国的学生设计 Students need to have 4 year Bachelor's degrees. The University of Leeds uses institutional lists when assessing applications from accepted Chinese institutions, and requirements may vary by school. Please check the appropriate listings below before making an application. For courses require 1st class, students need to have Minimum of 80%. For courses require 2.1, students need to have Minimum of 75%. For courses require 2.2, students need to have Minimum of 70%. Minimum qualifications include: IELTS (International English Language Testing System) an overall band of 6.5 with no less than 6.0 in each component skill.

课程信息

学制：全日制(12 个月)

学费：£25,500.00 (¥ 230,262) /年

开学时间：2022九月

申请截止日期：

留学地点：University of LeedsWoodhouse Lane,Leeds,LS2 9JT, England