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伦敦帝国理工学院健康数据分析和机器学习硕士

Imperial College LondonHealth Data Analytics and Machine Learning MSc

专业简介

The course is delivered in collaboration with the Data Science Institute, with teaching from both the School and Institute undertaken by international experts with strong methodological background and expertise in the application of these approaches to large-scale medical and clinical data. Our MSc in Health Data Analytics and Machine Learning is a one-year full-time course aimed at building a solid and common background in analyzing health data. Your main objective is to develop skills in using appropriate cutting edge quantitative methods to fully exploit complex and high dimensional data. Graduates of this course will have acquired the strong methodological background needed to perform in-depth analysis of medical and epidemiological high throughput datasets. You will graduate prepared to pursue further study at doctoral level, become an expert analyst in industry, and join large data companies.
  • 课程时长: 1-2年或以学校或offer为准
  • 学费: £32,500.00 (¥ 290,956) /年 Fees are charged by year of entry to the College and not year of study. Except where otherwise indicated, the fees for students on courses lasting more than one year will increase annually by an amount linked to inflation, i 以学校或offer为准
  • 开学时间: 每年2或7月
  • 总学分: 0
  • 是否移民专业:访问官网链接

入学要求

为来自中国的学生设计 Students should have been awarded a Bachelor's degree from Project 211 university with a final overall mark of 80% or better. Preference is given to candidates with 85% or better. 国际学生入学条件 Students must achieve the College requirement in the appropriate English language qualification: Standard IELTS 6.5 overall (minimum 6.0 in all elements); Higher 7.0 overall (minimum 6.5 in all elements)

如何申请

  • 申请材料要求
  • 是否需要文书
  • 申请费 100澳币
  • 申请周期 1-2月

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