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The normal minimum entry requirement to be considered for master’s degrees admission at the School is at least one of the following:
- a second-class honours degree from a UK university, or an overseas qualification of an equivalent standard, in a relevant subject
- a qualification appropriate to the course of study to be followed, in medicine, dentistry or veterinary studies
- a master’s degree in a subject appropriate to the course of study to be followed
- a professional qualification appropriate to the programme of study to be followed
Please refer to the LSHTM website for further information on entry requirements.
Months of entry
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.
The programme will enable you to:
- apply statistical and machine learning approaches to analyse health-related data
- acquire the tools and skills to manage very large diverse datasets across healthcare systems
- develop the professional skills – including teamwork, project management, and presentation skills – to work as a successful data scientist in the public or private sector
- understand the varied roles of a health data scientist within the wider health and health research environment
- learn about the key sources of health data, and the context in which these data are collected, implications of the context on issues such as data quality, accessibility, bias and the appropriateness of use to address specific questions
- study the key issues related to ethics, security and information governance.
Modules may include (subject to validation):
- Introduction to Health Data Science
- Health Data Management
- Epidemiology for Health Data Science
- Machine Learning
- Statistics for Health Data Science
- Data Challenge
- Analysis of Hierarchical and Other Dependent Data
- Spatial Epidemiology in Public Health
- Modelling & the Dynamics of Infectious Diseases
- Survival Analysis and Bayesian Statistics
- Environmental Epidemiology
- Genomics Health Data
- Advanced Statistical Modelling
You will complete a research project on a relevant topic of your choice.
Information for international students
English Language Requirements
If English is not your first language, you will need to meet these requirements: Band B
Please see our English Language Requirements FAQs for information.
Fees and funding
Information on all the scholarships we offer and how to apply to them can be found here. These pages are updated regularly as new scholarships become available. However, we recommend that students also look into alternative sources of funding.
Our fees can be found on the LSHTM website.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- The Study Team