This skills development module is designed to provide students with the essential tools required for analysing quantitative and geospatial data in the context of risk and disaster reduction, humanitarian crises, and public health emergencies. As a participant in this module, you will acquire foundational knowledge in statistical methods tailored for survey design and quantitative data analysis. Moreover, the module includes hands-on programming exercises, which will enhance your ability to conduct independent research in risk and disaster science. These exercises focus on data analysis using an example programming language. You will also develop fundamental skills in geospatial data analysis through an introduction to Geographic Information Systems (GIS) and Remote Sensing (RS) techniques. Utilising industry-standard software, you will engage in the analysis of geospatial data, thereby strengthening both your scientific understanding and practical abilities in this field.

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3/12/2025

Interview about Wind Energy Modelling in Statistics

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5/23/2024

The first video in a series of interviews with Statistical Science academics about how their research crosses over with the discipline of Sustainability.

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5/14/2024

A short introduction by UCL's Dr Adam Rutherford to the necessity of understanding our eugenics history to protect the future of areas such as genetics, statistics, and psychology.

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9/22/2023

In this contributed interview from the Department of Statistical Science at UCL, we speak with Professor Chris Holmes. Chris is Professor of Biostatistics at the departments of Statistics and the Nuffield Department of Medicine at the University of Oxford. He is also the Director for the Health Programme at the Alan Turing Institute. We discussed a recent presentation given at the department on Bayesian predictive inference and his involvement with statistical modelling to support the UK government’s COVID response. UCL seminar recording: https://youtu.be/Y9S4n42n0cY Martingale posterior distributions: https://arxiv.org/abs/2103.15671 Interoperability of statistical models in pandemic preparedness: principles and reality: https://arxiv.org/abs/2109.13730 Chris Holmes’ group website: https://www.chrisholmeslab.com

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4/11/2022

Associate Professor at the Department of Statistical Science, Dr Ioanna Manolopoulou, discusses the postgraduate taught programmes available with the department, and answers questions on the admissions process.

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1/18/2022

In this contributed series from the Department of Statistical Science at UCL, we speak with Professor Tom Fearn about how UCL is acknowledging and addressing its historical links with the eugenics movement, and in particular the roles of the prominent statisticians and eugenicists Francis Galton and Karl Pearson.

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10/15/2021

Associate Professor at the Department of Statistical Science, Dr Ioanna Manolopoulou discusses the postgraduate taught programmes offered by the department and answers questions on the admissions process.

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9/7/2021