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

Do you have an undergraduate degree in mathematics, statistics or operational research? Are you interested in a career which lets you use your advanced mathematical understanding in your daily job? Would you like to study in one of the UK's leading statistics departments?

If you answer yes to all of these questions, then our MSc Statistics is for you! By successfully completing the programme you will join our existing alumni who can be found working in both the private and public sectors, helping to find solutions to medical, scientific, industrial and social challenges.

Why Lancaster?

The MSc Statistics programme is the perfect blend of mathematical theory with real-world application. Over 12 months you will develop an advanced statistical skillset and understanding, with multiple opportunities to put what you learn into practice. Upon graduating, you will be ideally placed to pursue a career as a statistician or to apply for a PhD programme. Whatever your final destination, our graduates can be confident in their mathematical understanding and the analytical, programming, and critical-thinking skills that they have gained during their time with us.

Our MSc Statistics is the product of almost 25 years of experience in delivering top-quality training to graduates of undergraduate programmes in mathematics and statistics. The programme is carefully structured to provide a progressive learning experience.

In the first term, our students develop and strengthen their core knowledge and skills in classical and modern statistical methods and inference. Topics covered include frequentist and Bayesian inference, generalised linear models, statistical programming and communication.

In the second term, students select from a set of advanced specialist modules. These modules, which vary in their balance between theory, methods and application, cover a wide variety of statistical topics. Students are supported in selecting modules that best reflect their own interests and career aspirations.

In the third and final term, our students undertake an individual project. These projects are tailored to the interests and needs of the individual student: some may use them to progress their understanding of a topic covered in a taught module, others to investigate a methodological topic not covered by one of the taught modules, and others to expand their data analysis skills. Regardless of the contents of the project, all students work under the guidance of an experienced statistical researcher, progressing beyond classroom learning to develop a working understanding of statistical methodology and build their confidence in working independently and leading the statistical direction of a project.

Medical Statistics

The medical, healthcare and pharmaceutical sectors are one of the largest employers of our graduates. For those interested in a career in one of these areas we recommend our Medical Pathway, taking modules in Clinical Trials, Principles of Epidemiology, Multilevel and Longitudinal Data Analysis and Survival and Event History Analysis.

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

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Postgraduate Admissions
Email
pgadmissions@lancaster.ac.uk
Phone
+44 (0)1524 592032