Statistics
Entry requirements
2:1 Hons degree (UK or equivalent) in Mathematics or Statistics.
We may also consider non-standard applications where you have studied a degree in other quantitative subjects that include courses in probability, statistics, linear algebra, and calculus, or you have a 2:2 honours degree equivalent result combined with extensive relevant experience.
You should clearly be able to demonstrate how your skills have prepared you for relevant discussions and assessments during postgraduate study.
If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.
Months of entry
October
Course content
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome scientific, industrial and social problems and an advanced understanding of them is beneficial in many careers.
Our PGDip in Statistics follows the same taught course structure as our Royal Statistical Society (RSS) accredited Masters programme, but without the dissertation component that comprises the final part of the Masters year. As with the Masters programme, the PGDip combines a blend of theoretical study with real-world application. You will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the ore advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. By selecting the appropriate set of these specialist modules, you can choose to follow a pathway in Medical Statistics, which will equip you for a career in the Medical or Pharmaceutical sectors. Alternatively, your selection of specialist modules can reflect your own interests and career aspirations.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stake holders and end-users.
You will be based in our purpose-built facility, the Postgraduate Statistics Centre (PSC), which is part of the Department of Mathematics and Statistics, where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Information for international students
We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously.
We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications.
If your score is below our requirements, you may be eligible for one of our pre-sessional English language programmes.
Contact: Admissions Team +44 (0) 1524 592032 or email pgadmissions@lancaster.ac.uk
Fees and funding
Learn more at our fees and funding page
Qualification, course duration and attendance options
- PGDip
- full time9 months
- Campus-based learningis available for this qualification
- part time24 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Postgraduate Admissions
- pgadmissions@lancaster.ac.uk
- Phone
- +44 (0)1524 592032