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Masters degrees in Statistical Modelling equip postgraduates with the skills to apply methods of statistics to the modelling and simulation of real-world systems and processes. These models then inform the decision-making process in many economic and political practices.
Related postgraduate specialisms include Data Visualisation and Modelling, and Statistics with Data Science. Entry requirements normally involve an undergraduate degree related to Mathematics.
Statistical Modelling is applicable to a wide range of sectors, industries and associated professional practices. Training will typically involve methods such as numerical analysis, probability distributions, surveying and random sampling (as well as other forms of data collection). These techniques can then be used to decipher statistic inferences and approximate variables of a given event or activity.
For example, statistical models are crucial in helping professionals understand the economy of a given country. By sampling data about populations, landscapes and economic activities, it is possible to calculate the probabilities of events such as recessions, and determine needs for products and services. This includes financial sectors like banking, insurance and investments.
Other applications include environmental science, where you may be employed to model the probable outcomes of the effects of processes such as climate change. You might also work within the military to analyse the viability of different defence systems.
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We have taken guidance from our leading COVID-19 researchers on how the future of the pandemic may unfold, and with the safety and wellbeing of our students being our top priority, we have taken the following decisions. Read more
We are surrounded by data. The variety and amount we collect and store grows every day, from the simplest of retail transactions to the complex and intimate medical records of millions. Read more
Administered jointly through the Department of Computer Science and the Department of Engineering Management & Systems Engineering , the Master of Science in Data Analytics aims to address the growing demand for professionals skilled in big data and data analytics in government, industry and research organizations. Read more
This course has been created to deliver a skill set and knowledge base in “multimodal” and “big data” analysis techniques, which are a recognised scarcity within UK Life sciences. Read more
The two-year master’s programme Statistical Science for the Life and Behavioural Sciences provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis and data science. Read more
The availability of large behavioural datasets is growing thanks to large sale longitudinal studies such as the Millennium Cohort Study, social media, healthcare information and consumer internet use. Read more
The recently updated programme develops your practical, statistical and computing skills to prepare you for a professional career in statistics or as a solid basis for further research in the area. Read more
While practically orientated, this MSc Applied Statistics and Financial Modelling proceeds from a strong theoretical background so as to develop your ability to tackle new and non-standard problems with confidence. Read more
Our Statistics MSc provides a broad and deep understanding of statistics. The 12 month full-time programme provides advanced knowledge and training to become a professional statistician or researcher. Read more
This programme provides intensive training in statistics applicable to the social sciences, econometrics and finance. The aim of the programme is to foster an interest in theoretical and applied statistics and equip you for work as a professional statistician. Read more