Course summary

The information provided on this page was correct at the time of publication (November 2023). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas. The MSc in Modelling for Global Health is a full-time one-year programme which will train a new generation of mathematical modellers with cutting edge multi-disciplinary skills to support global health decision making processes at sub-national, national and international levels. The course will aim to develop your: repertoire of skills in mathematical and economic modelling including, for example, scientific programming, global health financing, genetics and evolution, spatial analysis and model fitting, related cutting-edge bioinformatics and analytics breadth of knowledge of current challenges and issues in global health range of techniques and tools for communication with key stakeholders from policy, implementation, commercial and research sectors. Course Structure Core Modules The first term will consist of topics on research methods, an overview of major global health challenges and foundations of mathematics required. Modules include:

• Mathematics for modellers

• Introduction to R for modellers

• Medical Statistics

• Foundations in Global Health

• Research Skills and Professional practice

• Introduction to Health Economics

• Mathematical Modelling of Infectious Diseases

• Model Communication

• Spatial Analysis of Public Health Data

• Global Health Financing

• Pharmacokinetic-Pharmacodynamic Modelling

• Model Fitting and Uncertainty

• Malaria Modelling for Strategy Design

• Introduction to Genetics and Evolution for Infectious Diseases Modellers

• Individual based models in C++

• Translational Science and Policy Analysis