Sign up to our newsletter today
We've been helping students find the right postgraduate course for over a decade.
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.
Back to results
All Course Types
All Study Types
All Start Terms
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 in 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
This Masters in Environmental Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics; previous study of statistics is not required. Read more
This course equips students with the knowledge and statistical skills to make valuable contributions to medical research as well as public health in low-, middle- and high-income countries. 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
Mathematics holds relevance to a wide variety of topics that drive advancement in the world. Without it, subjects such as physics, medicine, computer science, social sciences and finance would not be as they are today, or even in existence. Read more
MSc in Social Research Methods with Applied Statistics provides postgraduate instruction in social research methods, including applied statistical methods. Read more
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Read more
There is an increasing demand for people who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics, as well as a familiarity with the data needs and processes of a number of different areas, including healthcare, business, government and the environment.
GW School of Engineering & Applied Science is a rising world-class center for engineering research, learning, and innovation in Washington, DC
Choose from a range of medical laboratory science and social science courses which cover all areas of public and population health, epidemiology and infectious diseases.