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About Statistical Modelling
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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Find out more and join us at the Postgraduate Open Evening on . 20th March 2019. at the Strand. New scholarships for 2019 entry launched. .
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.
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.
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.
While practically orientated, this postgraduate degree 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.
This programme introduces you to the methods of statistical analysis, together with the underlying theory and some of the associated mathematics.
The Modelling Biological Complexity MRes is designed for students whishing to develop the skills to apply mathematical, computational and physical science techniques to real biological problems.
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.
This unique course is designed to train a new generation of data scientists with the specialist skills needed for analysing and interpreting ‘big data’ in the settings of population health and healthcare delivery.
With the Applied Statistical Modelling & Health Informatics PGCert you will develop multimodal and big data analysis technique to solve real world problems.
Looking to advance in your career or build on your research experience?
With one of the UK’s leading faculties of science, the University of Strathclyde provides a vibrant, dynamic, supportive and friendly place to study. The Faculty of Science offers a wide range of postgraduate taught courses and postgraduate research opportunities, designed to offer you advanced skills relevant in today’s global workplace. Strathclyde offers you the opportunity to gain a top class qualification whilst studying in the heart of Scotland’s biggest city. The Faculty of Science investigates the challenges and possibilities of the natural and technological world, from drug discovery
Founded in 2001, Jacobs University offers a broad spectrum of MA, MSc and PhD programs ranging from the natural sciences and engineering to the social sciences and economics. The program portfolio of Jacobs University includes the MSc in Computational Life Science, the MSc in Data Engineering, the bilingual MSc in Psychology and the MSc in Supply Chain Engineering and Management.