利物浦大学Health Data Science专业项目网站

Health Data Science

英国公立健康

项目背景

`

更新时间:2024-07-10

专业排名N/A

大学利物浦大学

开学时间9月

课程学制1年

学费24700.00/GBP

专业介绍

The MSc in Health Data Science programme provides specialist training in the area of Health Data Science, aiming to educate current and future health data scientists, at all career stages, including those in the public and private sectors. Training is grounded in the team science approach to addressing important health research questions, including theory alongside practical application, and introducing you to new forms of health data. Team science communication skills development will be an essential component of each module of the programme. Developed by internationally excellent research groups in biostatistics, public health, and computer science, combined with a number of world-leading centres in strategic areas of health, the programme offers a rigorous curriculum with research-focused teaching, training, and development in health data science. The programme will expose you to core health research, statistics and computer science modules, with the opportunity to obtain specialised knowledge along a statistics track, computer science track, or a combination. By completing the first semester you qualify for the PG certificate. By completing the second, you qualify for the PG Diploma. Then, by completing your dissertation, you qualify for the MSc. The programme is in a blended format using both online and campus based delivery. It is available on both a full-time and part-time basis.

推荐顾问

语言要求

类型
雅思
托福
PTE
Listen
6.5
21
61
Speak
6.5
23
61
Read
6.5
21
61
Write
6.5
21
61
总分
7
100
69

学术要求

专业领域:含substantial quantitative methods内容的统计或计算机科学科目的。health-related professions也可以个案评估。

课程设置

Compulsory modules:必修模块 Introduction to Health Research, Data and Team Science :健康研究、数据和团队科学导论 Introduction to Statistics:统计导论 Using routine health data for applied epidemiology:使用应用流行病学的常规健康数据 Database and Information Systems:数据库和信息系统 Dissertation :论文 21st Century Evaluation of Healthcare Interventions:21世纪医疗干预评估 Actionable Analytics:可操作分析 Dissertation:论文 Optional modules:可选模块 Advanced Biostatistics I - Joint Longitudinal & Survival Data Analysis and Prediction Modelling :高级生物统计学I-联合纵向和生存数据分析和预测模型 Advanced Biostatistics II - Analysis Methods for Complex Data Structures :高级生物统计学II-复杂数据结构的分析方法 Advanced Biostatistics III - Statistical Genetics and Pharmacogenetics :高级生物统计学III-统计遗传学和药物遗传学 Computational Intelligence:计算智能 Data Mining and Visualisation :数据挖掘和可视化 Machine Learning and BioInspired Optimisation:机器学习和生物启发优化