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Statistics PhD

Open Day: 21 November 2014

Our Postgraduate Open Day is an opportunity to learn more about the University and our programmes, and to meet our staff and current students.

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PhD Statistics - 3 Years (Full-time)
Fees
PhD Statistics - 6 Years (Part-time)
Fees

Fees & costs information

Where available, individual programme fees are linked above. For details information on fee status, policies and payment see:

Contact information
Postgraduate Secretary
Phone: +44 (0)131 650 5048
Email: pgresearch@maths.ed.ac.uk
Mrs Gill Law (Postgraduate Research Administrator)
Phone: +44 (0)131 650 5085
Email: g.law@ed.ac.uk
Address: School of Mathematics
James Clerk Maxwell Building
The King's Buildings Campus
Edinburgh
EH9 3JZ

Our society revolves around variation, uncertainty and risk. By gaining a greater understanding of these variables through the study of statistics, we’re able to create systems and techniques that benefit areas as diverse as science, law and finance.

Our Statistics research group explores a wide range of statistical theory and practice, often applying its findings in collaboration with researchers in related fields, such as informatics and biomathematics.

Entry requirements

To study at postgraduate level you should have a first degree in an appropriate subject or relevant qualifications and experience.

Confirm with the School to find out whether there are specific entry requirements for this programme.

International qualifications

Check whether your international qualifications meet our general entry requirements:

English language requirements

If English is not your first language, you must have one of the following qualifications as evidence of your spoken and written English.

IELTS minimum score
  • IELTS Academic module: 6.5 (with no score lower than 6.0 in each section)
Other accepted tests and scores
  • TOEFL iBT: total 92 (with no score lower than 20 in each section)
  • PTE: 61 (with no score lower than 56 in each section)
  • Cambridge CPE: Grade C
  • Cambridge CAE: Grade B

Find out more about our language requirements:

Academic Technology Approval Scheme

If you are not an EU, EEA or Swiss national, you may need an Academic Technology Approval Scheme clearance certificate in order to study this programme.

How to apply

Find out more about the general application process for postgraduate programmes:

Research profile

Our work is balanced between classical and Bayesian statistics. Our particular areas of interest include hierarchical multivariate random effects models, wavelets, nonparametric regression and resampling.

While the group has a strong theoretical base, we’re also heavily involved in specific application areas, particularly forensic science, law, agriculture, and functional genomics data, such as gene expression microarrays.

Staff and student numbers

We are a vibrant community of more than 50 academic and related staff supervising 60 students.

Training and support

As a research student, you’ll find a wealth of expertise available to you via our links with theorists and practitioners in related fields.

The University’s School of Informatics, for instance, is the largest and most prestigious in the UK, and features a Machine Learning research group whose work is linked to some forms of statistical research. In addition, the Scottish Government-backed research provider Biomathematics and Statistics Scotland is an associated research institute of the University. With its main base in our building, it provides access to other researchers with an interest in statistical genomics and bioinformatics, process and systems modelling and statistical methodology.

If your research is in the expanding area of forensic statistics, you'll benefit from our link with the Joseph Bell Centre for Forensic Statistics and Legal Reasoning. The Centre applies and teaches statistical techniques for interpreting evidence, such as binomial probabilities, conditional probability and Bayes’ Theorem.

Mathematics is a discipline of high intellect with connections stretching across all the scientific disciplines and beyond, and in Edinburgh you can be certain of thriving in a rich academic setting. Our School is one of the country’s largest mathematics research communities in its own right, but you will also benefit from Edinburgh’s high-level collaborations, both regional and international.

Research students will have a primary and secondary supervisor and the opportunity to network with a large and varied peer group. You will be carrying out your research in the company of eminent figures and be exposed to a steady stream of distinguished researchers from all over the world.

Our status as one of the most prestigious schools in the UK for mathematics attracts highly respected staff. Many of our 50 current academics are leaders in their fields and have been recognised with international awards.

Researchers are encouraged to travel and participate in conferences and seminars. You'll also be in the right place in Edinburgh to meet distinguished researchers from all over the world who are attracted to conferences held at the School and the various collaborative centres based here. You’ll find opportunities for networking that could have far-reaching effects on your career in mathematics

Facilities

You will enjoy excellent facilities, ranging from one of the world’s major supercomputing hubs to generous library provision for research at the leading level, including the new Noreen and Kenneth Murray Library at King’s Buildings.

Students have access to more than 1,400 computers in suites distributed across the University’s sites, many of which are open 24 hours a day. In addition, if you are a research student, you will have your own desk with desktop computer.

We provide all our mathematics postgraduates with access to software packages such as Maple, Matlab and Mathematica. Research students are allocated parallel computing time on ‘Eddie’ – the Edinburgh Compute and Data Facility. It is also possible to arrange use of the BlueGene/Q supercomputer facility if your research requires it.

Career opportunities

You'll gain a qualification that is highly regarded in both academia and industry. Future career options are diverse, with past students finding positions in academic institutions, forensics, finance, law and biological and agricultural organisations.

Further Information

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