Master in Outbreaks Analytics R

For Master in Outbreaks Analytics R, tuition fees are 1,050 GBP per year, while applications for the Sep 2027 intake are due by Jun 6, 2027.

Field epidemiologists, public health practitioners, and mathematical modellers looking to bridge the gap between theoretical knowledge and real-time response will find this course essential for mastering modern data pipelines. By leveraging the power of the R ecosystem, participants transition from basic analysis to robust, reproducible workflows capable of informing urgent public health decision-making during infectious disease outbreaks.

This course moves beyond academic theory to focus on the practical application of R packages—such as those from Epiverse-TRACE and Epiforecasts—to solve high-stakes problems. You will work with real-world datasets from past emergencies like Ebola, Zika, and COVID-19, gaining the ability to standardise line lists, estimate key transmission and severity metrics, and generate scenario-based projections that account for population structure and social behaviour.

Practical Real-Time Response Skills

• Data Integrity: Learn to validate and clean complex, real-time epidemiological data to ensure your epidemic curves and metrics remain accurate despite evolving reporting conditions.
• Analytical Depth: Move beyond basic statistics to estimate the reproduction number, case fatality risk, and dispersion parameters, while accounting for reporting delays and individual-level transmission variation.
• Reproducible Workflows: Adopt best practices for coding and reporting that allow for rapid, transparent updates as new information emerges during a crisis.

Delivered entirely online, the programme balances independent study with deep-dive synchronous workshops. You will benefit from direct mentorship by leading researchers, tool developers, and practitioners, including tailored feedback sessions to refine the application of these tools to your own professional datasets.