MSc Health Data Science 12 months Postgraduate Programme By London School of Hygiene & Tropical Medicine |TopUniversities
Programme Duration

12 monthsProgramme duration

Main Subject Area

Medicine Related StudiesMain Subject Area

Programme overview

Main Subject

Medicine Related Studies

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Do you want to better understand the causes of disease and identify new ways to prevent, treat and cure disease? The increasing amounts of electronically captured and stored health related data provide enormous opportunities to achieve these goals. Making optimal use of these data requires people with wide-ranging expertise in areas including statistics, programming, informatics and epidemiology. LSHTM is a world leader in the use of health data for research, with expertise in the creation, linkage and analysis of a wide range of data sources, encompassing data on environmental and social factors as well as ‘omic data, both human and pathogen. In addition, LSHTM has global reach and a large international network of partnerships enabling data science collaborations worldwide. Our electronic health records (EHR) work encompasses pharmacoepidemiology, phenotyping, vaccine effectiveness/safety, health policy assessment, and infectious disease surveillance. We have expertise in using national audits for quality improvement, and developing NHS performance indicators. Our work is underpinned by an internationally recognised group of biostatistical methodologists. This programme, supported by Health Data Research UK (HDR UK), aims to train a new generation of world-leading health data scientists, to work in both the public and private sector. Teaching will focus on building strong quantitative, computational and practical data management skills, while providing opportunities to develop key professional skills required to be a successful health data scientist. Health Data Science is an emerging discipline, combining mathematics, statistics, epidemiology and informatics. This programme will equip graduates with the tools and skills to manage and analyse very large diverse datasets across healthcare systems. Duration: one year full-time; part-time or split-study over two years.

Programme overview

Main Subject

Medicine Related Studies

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Do you want to better understand the causes of disease and identify new ways to prevent, treat and cure disease? The increasing amounts of electronically captured and stored health related data provide enormous opportunities to achieve these goals. Making optimal use of these data requires people with wide-ranging expertise in areas including statistics, programming, informatics and epidemiology. LSHTM is a world leader in the use of health data for research, with expertise in the creation, linkage and analysis of a wide range of data sources, encompassing data on environmental and social factors as well as ‘omic data, both human and pathogen. In addition, LSHTM has global reach and a large international network of partnerships enabling data science collaborations worldwide. Our electronic health records (EHR) work encompasses pharmacoepidemiology, phenotyping, vaccine effectiveness/safety, health policy assessment, and infectious disease surveillance. We have expertise in using national audits for quality improvement, and developing NHS performance indicators. Our work is underpinned by an internationally recognised group of biostatistical methodologists. This programme, supported by Health Data Research UK (HDR UK), aims to train a new generation of world-leading health data scientists, to work in both the public and private sector. Teaching will focus on building strong quantitative, computational and practical data management skills, while providing opportunities to develop key professional skills required to be a successful health data scientist. Health Data Science is an emerging discipline, combining mathematics, statistics, epidemiology and informatics. This programme will equip graduates with the tools and skills to manage and analyse very large diverse datasets across healthcare systems. Duration: one year full-time; part-time or split-study over two years.

Admission Requirements

2+
7+
185+
65+
100+

Sep

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

Postgrad Programmes 361