This programme, taught jointly by the School of Mathematics and the Department of Economics, provides the skills that will enable technically able graduates (including in mathematics, science and engineering) to apply their quantitative training to financial analysis.

In most cases, we expect that graduates from the Masters will take positions in quantitative analysis (or similar) in major financial institutions, such as in the City. The programme also prepares you to pursue further studies in academia.

A good Honours first degree (or overseas equivalent) in Mathematics or a related numerate subject such as Physics or Engineering, or an appropriate Joint Honours degree in industrial mathematics.... [-]

Our Industrial Mathematical Modelling MSc is designed to help you develop the mathematical modelling skills and techniques increasingly highly sought after within industry and commerce.

The Industrial Mathematical Modelling MSc enables you to explore mathematical models of real-world processes and their formulation, with a strong emphasis on how these techniques can be applied in industry.

A key feature of the Industrial Mathematical Modelling programme is working in small groups to solve real-life problems using mathematical models, such as estimating the loss of heat from a warehouse. Another unique aspect is our Advanced Reliability module, designed to show how statistics can be applied to industrial problems to support the development of strategies for the replacement of engineering parts before they break.... [-]

The depth of the mathematics taught in our Mathematical Finance MSc programme should equip you with the skills needed to succeed within the finance sector. It will also enable you to pursue a research career in stochastic analysis, financial mathematics and other relevant areas.

Our Mathematical Finance MSc programme is designed to provide you with the strong mathematical skills, computational techniques and finance background necessary to work in the finance sector. It could also open up careers in investment banking, hedge funds, insurance companies and the finance departments of large corporations.

Drawing on the expertise within our department of Mathematical Sciences, you will undertake core modules in stochastic analysis and measure theory, while also choosing optional modules covering wide-ranging topics of interest, including corporate finance, functional analysis and asset management.... [-]

Mathematics is at the heart of advances in science, engineering and technology, as well as being an indispensable problem-solving and decision-making tool in many other areas of life.

This MSc course enables you to delve deeply into particular aspects of pure and applied mathematics, through a wide choice of modules in fascinating areas such as fractal geometry, coding theory and analytic theory.

You’ll complete your MSc with a piece of independent study, exploring one of a range of mathematical topics in detail and concluding this study by writing a dissertation.

The field of Data Science has seen rapid growth in recent years, with vast amounts of data now being generated by major companies and service providers.

At the same time, it’s recognised that there’s a shortage of qualified analysts, both in the UK and globally, to make the most of this data. Crucially, there’s now a shortage of mathematics graduates with the data analysis skills needed to meet the demands of industry.

Our MSc Mathematics and Data Science is one of the first courses to link the two key areas of mathematics and data science, making it uniquely positioned to help you meet this demand.

The course will provide you with a solid foundation in the mathematical analysis of data-driven systems and help you develop your computing skills to apply the techniques you learn on a large scale. You’ll learn the techniques used to approach data using computational analysis and understand the mathematics underpinning these techniques.... [-]

This programme is suitable both for fresh graduates and also for experienced professional practitioners who wish to further their skills. The programme core modules cover modern mathematical skills together with applications across different industries, and there are optional professional modules directly related to research expertise within the School. This ensures that students have an advanced understanding of both theory and practice in their selected specialist areas. Students will gain knowledge of mathematical skills and applications, computational skills, and relevant professional experience, related to traditional engineering and science modeling, modern enterprise applications, finance, and service industries. They will gain an understanding of emerging applications. There will be hands-on training in various development tools and in the use of computational software related to their professional direction.... [-]