Statistical Data Science (International Master's) - MSc

Virtual Open Event

Join our Postgraduate Virtual Open Event on Thursday 20 May from 16.00 - 19.00 GMT. Meet and talk to specialist academics and admissions staff about postgraduate study in the UK and Europe.

Book your place

The International Master’s in Statistical Data Science 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.

Overview

The programme has been designed to provide a deep understanding of the modern statistical methods required to model and analyse data. You will benefit from a thorough grounding in the ideas underlying these methods and develop your skills in key areas such as practical data analysis and data modelling.

It has been accredited by the Royal Statistical Society (RSS) and equips aspiring professional statisticians with the skills they need for posts in industry, government, research and teaching. It also enables you to develop a range of transferable skills that are attractive to employers within the public and private sectors.

Students whose mathematical and statistical background is insufficient for direct entry on to the appropriate programme, may apply for this course. The first year of the programme gives you a strong background in statistics, including its mathematical aspects, equivalent to the Graduate Diploma in Statistics. This is followed by the MSc in Statistical Data Science.

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 consistently high rankings in the last two Research Assessment Exercises.

Statistical Data Science 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.

Entry requirements

Smiling female postgraduate student
You are more than your grades

For 2021, in response to the challenges caused by Covid-19 we will consider applicants either holding or projected a 2:2. This response is part of our flexible approach to admissions whereby we consider each student and their personal circumstances. If you have any questions, please get in touch.

Entry requirements

A second class honours degree (2.2 or above) or equivalent in an appropriate quantitative subject.

The University will consider applications from students offering a wide range of qualifications. Some typical requirements are listed below. Students offering alternative qualifications should contact us for further advice.

If you are an international student, visit our International Student website for further information about entry requirements for your country, including details of the International Foundation Programmes.

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.

Form

Keep updated

Sign up here to receive all the latest news and events from Kent  

Sign up now

This field is required
This field is required
Please enter a valid email address
This field is required
This field is required
This field is required

View our Privacy Notice

Course structure

Duration: 2 years full-time

Linear algebra, analysis, regression and probability and inference are core topics for the first year of this two-year programme, which also includes a dissertation module. In the second year, stochastic models and processes, Bayesian statistics and the analysis of large data sets are among the range of topics explored.

Modules

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.

Teaching and assessment

The programme is assessed by coursework involving: complex theoretical questions, analysis of real-world data using appropriate computing packagse over a range of areas of application; written unseen examinations. In the second year, there is also a substantial dissertation.

Programme aims

This programme aims to:

  • give you the depth of technical appreciation and skills appropriate to Masters’ level students in statistics
  • equip you with a comprehensive and systematic understanding of theoretical and practical statistics, and their uses in finance
  • develop your capacity for rigorous reasoning and precise expression
  • develop your capability to formulate and solve problems relevant to statistics
  • develop your appreciation of recent developments in statistics and the links between the theory of statistics and financial modelling (and other areas of application)
  • develop your logical, mathematical approach to solving problems
  • develop your enhanced capacity for independent thought and work
  • ensure you are competent in the use of information technology and are familiar
  • with computers and relevant software
  • provide you with opportunities to study advanced topics in statistics, engage in research at some level, and develop communication and personal skills
  • provide you with the depth of knowledge of the subject sufficient to enter a career as a professional statistician or appropriate career in quantitative finance
  • provide a deep understanding of the use of statistics in finance and financial  econometrics.

Learning outcomes

Knowledge and understanding

You will gain knowledge and understanding of:

  • probability and statistics and the range of principles involved
  • the links between different statistical concepts and methods
  • advanced information technology skills relevant to statisticians
  • a comprehensive range of methods and techniques appropriate to statistics at postgraduate level
  • the role of logical mathematical argument and deductive reasoning
  • an appreciation of particular subject areas to which statistics is applied, particularly finance and the important role of statistics in those areas
  • an appreciation of the use of statistics in finance and the probabilistic concepts involved.

Intellectual skills

You develop intellectual skills in:

  • the ability to demonstrate a comprehensive understanding of the main body of statistical knowledge
  • the ability to demonstrate skill in the calculation and manipulation of data
  • the ability to apply a range of statistical concepts and principles in various challenging contexts
  • the ability for logical argument
  • the ability to demonstrate skill in solving complex statistical problems using appropriate and advanced methods
  • the ability in relevant computer skills and usage
  • the ability to work with relatively little guidance
  • the ability to evaluate research work critically.

Subject-specific skills

You gain subject-specific skills in:

  • the ability to demonstrate knowledge of advanced statistical concepts and topics, both explicitly and by applying them to the solution of problems
  • the ability to demonstrate knowledge of statistical modelling techniques commonly applied to finance
  • the ability to abstract the essentials of problems to facilitate statistical analysis and interpretation
  • the ability to present statistical analyses and draw conclusions with clarity and accuracy.

Transferable skills

You will gain the following transferable skills:

  • problem-solving skills: the ability to work independently to solve problems involving qualitative or quantitative information
  • communication skills, including the capacity to report to others on analyses undertaken
  • computational skills
  • information-retrieval skills involving a range of resources
  • information technology skills including scientific word-processing
  • time-management and organisational skills, as evidenced by the ability to plan and implement efficient and effective modes of working
  • skills needed for continuing professional development.

Fees

The 2021/22 annual tuition fees for this programme are:

  • Home full-time TBC
  • EU full-time £12600
  • International full-time £16800

For details of when and how to pay fees and charges, please see our Student Finance Guide.

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.* If you are uncertain about your fee status please contact information@kent.ac.uk.

Your fee status

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.

Additional costs

General additional costs

Find out more about 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:

We have a range of subject-specific awards and scholarships for academic, sporting and musical achievement.

Search scholarships

The Complete University Guide

In The Complete University Guide 2021, the University of Kent was ranked in the top 10 for research intensity. This is a measure of the proportion of staff involved in high-quality research in the university.

Please see the University League Tables 2021 for more information.

Complete University Guide Research Intensity

Independent rankings

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.

Research areas

Statistical Ecology

There has been research in the area of statistical ecology at Kent for many years. We are part of the National Centre for Statistical Ecology (NCSE), which was established in 2005. For details of the work of the NCSE, see www.ncse.org.uk

Bayesian statistics 

The research conducted in this area at Kent is mainly on Bayesian variable selection, Bayesian model fitting, Bayesian nonparametric methods, Markov chain Monte Carlo with applications.

Biological and health statistics 

Research is focused on statistical modelling and inference in biology and genetics with applications in complex disease studies. Over the past few decades, large amounts of complex data have been produced by high through-put biotechnologies. The grand challenges offered to statisticians include developing scalable statistical methods for extracting useful information from the data, modelling biological systems with the data, and fostering innovation in global health research.

Machine learning 

This theme encompasses both theory and applications. Theory is involved with supervised and unsupervised learning, matrix factorisation, modelling of high-dimensional time series, differential privacy, deep learning and networks, shape analysis and statistics on manifolds, and neuroimaging. Applications in biology, industry, medicine and psychiatry. Often new computational methods are the key to analysing complex big data problems.

Nonparametric statistics 

In order to describe the data, it is common in statistics to assume a specific probability model. Unfortunately, in many practical applications (for instance in economics, population genetics and social networks) it is not possible to identify a specific structure for the data. Nonparametric methods provide statistical tools for addressing inference in these situations.

Economics and finance

At Kent there is particular interest in the use of nonparametric methods including quantile regression and Bayesian nonparametric approaches. Application areas include modelling of the business cycle and capacity utilisation, calculating sovereign credit ratings, modelling of stock return data, and predicting inflation.

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

Study support

Postgraduate resources

Kent’s Computing Service central facility runs Windows. Within the School, postgraduate students can use a range of UNIX servers and workstations. Packages available include R, SAS, MATLAB, SPSS and MINITAB.

Dynamic publishing culture

Staff publish regularly and widely in journals, conference proceedings and books. Among others, they have recently contributed to: Annals of Statistics; Biometrics; Biometrika; Journal of Royal Society, Series B; Statistics and Computing. Details of recently published books can be found within our staff research interests.

Global Skills Award

All students registered for a taught Master's programme are eligible to apply for a place on our Global Skills Award Programme. The programme is designed to broaden your understanding of global issues and current affairs as well as to develop personal skills which will enhance your employability.  

Apply now

Learn more about the applications process or begin your application by clicking on a link below.

Once started, you can save and return to your application at any time.

Apply for entry to:

Contact us

bubble-text

United Kingdom/EU enquiries

MSc at Canterbury

Admissions enquiries

T: +44 (0)1227 768896

E: information@kent.ac.uk

Subject enquiries

Claire Carter

T: 44 (0)1227 824133

E: smsaspgadmin@kent.ac.uk

earth

International student enquiries

Enquire online

T: +44 (0)1227 823254
E: internationalstudent@kent.ac.uk