布里斯托大学Medical Statistics and Health Data Science专业项目网站

Medical Statistics and Health Data Science

英国公立健康

项目背景

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更新时间:2024-07-08

专业排名N/A

大学布里斯托大学

开学时间9月

课程学制1年

学费31300.00/GBP

专业介绍

The MSc in Medical Statistics and Data Science will enable you to engage with the complex statistical and data science healthcare challenges facing the global community, providing high-quality training in statistical and computational methods that are applicable to low-, middle- and high-income settings. As a medical statistician you will play a vital role in improving the health of populations by conducting statistical research (such as designing clinical trials and epidemiological studies, analysing data and interpreting results) to advance medical knowledge, track or prevent diseases and improve medications and treatments. Challenges have arisen over the last decade in the increasing availability of enormous electronic datasets related to human health and healthcare. Data science combines mathematics, statistics and programming tools to enable analysis of these very large and diverse datasets. You will be trained in the theory and practice of cutting-edge methods in medical statistics and data science (including causal inference, machine learning and data mining). Teaching will focus on building strong quantitative and computational skills, and effective interpretation and communication of research findings. All concepts, skills and tools are illustrated using real-life case studies and health-related data. You will gain professional skills - such as teamwork, presentation skills and writing for publication - essential for a successful medical statistician and data scientist.

推荐顾问

语言要求

类型
雅思
托福
PTE
Listen
6.5
21
64
Speak
6.5
23
64
Read
6.5
22
64
Write
6.5
22
64
总分
7
95
67

学术要求

专业领域:含strong quantitative内容的专业如数学、统计学、物理学、计算机科学、运筹学、电子电气工程、经济学、会计学、航空航天工程、数据科学、计算机、运筹学、计量经济学、天体物理学、机械工程、航空工程、系统工程、电子工程、电气工程、核工程。

先修科目:3门quantitative科目如代数、微积分、金融数学、数学、纯数学、商业数学、商业统计学、计算机科学(包括编程/算法)、数据挖掘/数据科学/数据分析、计量经济学、金融建模、概率论、定量方法、定量研究方法、统计学/统计方法/统计分析等、成本分析、决策分析与模拟、经济学、金融分析、博弈论、宏观经济学、微观经济学、工程数学。

课程设置

Mandatory 必修 Introduction to Statistical and Epidemiological Methods:统计学和流行病学方法简介 Introduction to Regression Models:回归模型简介 Applied Health Data Science:应用健康数据科学 Advanced Statistics:高级统计 Advanced Epidemiology:高级流行病学 Study Design:研究设计 Dissertation:论文 Optional 选修 Molecular Epidemiology:分子流行病学 Machine Learning and Data Mining for Health Data Science:面向健康数据科学的机器学习和数据挖掘 Epidemic Data Analysis and Modelling:流行病数据分析和建模