For more information about Statistics with Finance at University of Kent, please visit the webpage using the button above.

The award
MSc

How long you will study
12

Domestic course fees
find out

How you will study
full-time

Course starts
September

International course fees
find out

All study options

About Statistics with Finance at University of Kent

The MSc in Statistics with Finance is accredited by the Royal Statistical Society (RSS) and is excellent preparation for careers in any field requiring a strong statistical background.

Overview

This 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.

Statistics at Kent provides:

  • a programme that gives you the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad range of potential employers
  • teaching and supervision by staff who are research-active, with established reputations and who are accessible, supportive and genuinely interested in your work
  • advanced and accessible computing and other facilities
  • a congenial work atmosphere with pleasant surroundings, where you can socialise and discuss issues with a community of other students.

About the School of Mathematics, Statistics and Actuarial Science (SMSAS)

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.

    National ratings

    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.

    Careers

    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.

    Professional recognition

    The taught programmes in Statistics with Finance provide exemption from the professional examinations of the Royal Statistical Society and qualification for Graduate Statistician status.

    Research areas

    Biometry and ecological statistics

    Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions.

    Bayesian statistics

    Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis.
    Bioinformatics, statistical genetics and medical statistics
    Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis.

    Nonparametric statistics

    Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets.

    Study options

    • Taught

    Fees

    The 2017/18 annual tuition fees for this programme are:

    Statistics with Finance - MSc at Canterbury:UK/EUOverseasFull-time£6500£14670

    For students continuing on this programme fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.*

    The University will assess your fee status as part of the application process. If you are uncertain about your fee status you may wish to seek advice from UKCISA before applying.

    General additional costs

    Find out more about accommodation and living costs, plus general additional costs that you may pay when studying at Kent.

    Funding

    Search our scholarships finder for possible funding opportunities. You may find it helpful to look at both:

    • University and external funds
    • Scholarships specific to the academic school delivering this programme

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    Entry requirements

    Entry requirements

    A minimum of 2.2, with a substantial amount of mathematics at university level. Prior experience of finance is not required.

    All applicants are considered on an individual basis and additional qualifications, and professional qualifications and experience will also be taken into account when considering applications. 

    International students

    Please see our International Student website for entry requirements by country and other relevant information for your country. 

    Meet our staff in your country

    For more advice about applying to Kent, you can meet our staff at a range of international events.

    English language entry requirements

    The University requires all non-native speakers of English to reach a minimum standard of proficiency in written and spoken English before beginning a postgraduate degree. Certain subjects require a higher level.

    For detailed information see our English language requirements web pages. 

    Need help with English?

    Please note that if you are required to meet an English language condition, we offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways.

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