Taught course

Health Data Science

Institution
London School of Hygiene and Tropical Medicine · Department of Epidemiology and Population Health
Qualifications
MSc

Entry requirements

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:https://www.lshtm.ac.uk/study/applications/applying-masters-degree-london/general-entry-requirements

Months of entry

September

Course content

Course information

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
Programming
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

Project report:

You will complete a research project on a relevant topic of your choice

Fees and funding

Please refer to the LSHTM website for up to date information on fees & funding: https://www.lshtm.ac.uk/study/fees-funding

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
The Study Team
Email
study@lshtm.ac.uk