MSc Health Data Science

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Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Overview

The MSc in Health Data Science is aimed at students who wish to develop skills in statistics, computing and health informatics for health research. A set of four core modules will cover topics on foundations of statistics, epidemiology and health informatics including: statistical modelling and inference for health research; computer programming in R and Python; data sourcing and management and basic epidemiological study designs. Building on the core provision, you will choose one of two specialisms, Global Health (GH) or Health Informatics (HI), each consisting of four modules (15 credits each). You will then undertake a 12-week project in collaboration with partners from public health agencies and external research institutes.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Fundamentals for Health Data Science
  • Introduction to applied epidemiology
  • Programming for Health Data Science
  • Statistical methods and models for health research
  • Handling routinely collected Health Data
  • Longitudinal Data Analysis
  • Methods for Missing Data
  • Model-based geostatistics for public health
  • Modelling of infectious diseases
  • Time-series analysis in epidemiology
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    Use our magical AI system, to check your admission chances for this course.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs