This Statistics with Finance programme trains students for careers using statistics in the financial services industry. You study the statistical modelling underpinning much modern financial engineering combined with a deep understanding of core statistical concepts. The programme includes modelling of financial time series, risk and multivariate techniques. This programme is offered by the University of Kent.
The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. Postgraduate students develop analytical, communication and research skills. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School. We encourage all postgraduate statistics students to take part in statistics seminars and to help in tutorial classes.
The Statistics Group is forward-thinking, with varied research, and received high rankings in the Research Excellence Framework (REF) for research power and quality.
In the Research Excellence Framework (REF) 2014, research by the School of Mathematics, Statistics and Actuarial Science was ranked 25th in the UK for research power and 100% or our research was judged to be of international quality.An impressive 92% of our research-active staff submitted to the REF and the School’s environment was judged to be conducive to supporting the development of world-leading research.
Students often go into careers as professional statisticians in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong statistical background. You have the opportunity to attend careers talks from professional statisticians working in industry and to attend networking meetings with employers.Recent graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.
You undertake a substantial project in the area of finance or financial econometrics, supervised by an experienced researcher. Some projects are focused on the analysis of particular complex data sets while others are more concerned with generic methodology.
You gain experience of analysing real data problems through practical classes and exercises. The course includes training in the computer language R.
The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.
Coursework involving: complex theoretical questions, analysis of real-world data using appropriate computing packages over a range of areas of application; analysis appropriate to financial data (in particular modules); written unseen examinations; dissertation.
The programme aims:
Knowledge and understanding
You will gain knowledge and understanding of:
You develop intellectual skills in:
You gain subject-specific skills in:
You will gain the following transferable skills:
Dates reflect the university's timezone.
Total Kent credits: 180
Total Kent credits: 180
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A minimum of 2.2, with a substantial amount of mathematics at university level. Prior experience of finance is not required.
Part-time: UK/EU - £2720; Overseas - £6690
The award recognises studying abroad as a positively life changing experience for many students as well as promoting intercultural understanding and tolerance. Successful candidates will receive up to £10,000 to be applied toward the cost of tuition fees.
We have a scholarship fund of over £9 million to support our taught and research students with their tuition fees and living costs.
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