Masters Degrees

We offer taught postgraduate qualifications in a variety of statistical and related fields. Details of our courses are below and funding is available through bursaries and postgraduate loans.

Student in class


The MSc in Statistics serves to prepare students for particular career options and reflect the diverse research expertise within the department. The courses offer optional pathways in medical, pharmaceutical and environmental statistics. Covering the most up to date statistical methods and providing a grounding in substantive theory, these courses are suitable for those with a background in mathematics or statistics. We offer both full-time and part-time study options.

Data Science

Data Science is the systematic study of information. Data scientists work with others by taking an initial research or business question and gathering data, from a range of sources, and performing analyses to provide insight and to inform decision making.

This interdisciplinary programme is offered by several Science and Technology departments in collaboration. Different masters schemes allow for specialism and can be chosen to reflect your academic background and career aspiration.

We have a number of fee waiver scholarships available for this programme.

Students at Lancaster University

Quantitative Finance

Lancaster University Management School and the Faculty of Science and Technology collaboratively deliver this interdisciplinary programme. It offers graduates from quantitative degrees a route into careers in the areas of banking or finance. On this programme, you will acquire and apply advanced analytical and technical skills to the analysis of risk and return in a range of financial institutions and corporations. There is a strong focus on computer-based financial information within the core courses, and the opportunity to specialise in particular interests through the optional modules.


You will be required to complete a substantial dissertation involving the application of statistical methodology to a substantive problem.

You will write your dissertation under the direction of a supervisor during the summer period - mid-June to mid-September.  The dissertation is a written report, in the style of a report to a partner company or collaborating department. You will need to show understanding of the application area and the purpose of the analysis. You must include exploratory data analysis and the underlying modelling assumptions are addressed. The dissertation must include the application of appropriate statistical methods, report on non-elementary methods and references of sources.

Many projects are collaborative. Recent collaborations include:

  • GlaxoSmithKline
  • AstraZeneca
  • Wrightington Hospital
  • Royal Lancaster Infirmary
  • Leahurst Veterinary Centre
  • The Department of the Environment
  • Miami University
  • The Christie Hospital

This component of the course carries a weighting of one-third of the total credit. The deadline for submission of the dissertation is mid-September. Each student is also required to give a 15-minute oral presentation of the work in their dissertation, at a meeting of all MSc students and staff.

Career destinations

Graduates of the MSc in Statistics have an exceptional record of gaining employment in statistical roles that directly apply the skills and knowledge acquired during the course. Many of our recent graduates have become Medical Statisticians within Clinical Trials Units or NHS trusts (e.g. Leeds Clinical Trials Unit, Queen Mary University Pragmatic Clinical Trials Unit) or researchers within University Medical Schools (e.g. Liverpool, Sheffield, Bristol). A similar proportion have gone on to work in the pharmaceutical industry either in pharmaceutical companies (e.g. AstraZeneca, GlaxoSmithKline) or in contract research organisations (e.g. Quanticate, Phastar, Quintiles). A substantial proportion of our graduates pursue a PhD in Statistics (e.g. Lancaster University, University of Manchester, University of Bath). Some graduates also go onto work in financial services, market research or as web analysts (e.g. Aegon, Channel 4, HMRC).

20% PhD in Statistics or Medical Statistics
30% Medical Statistician/Research Associate in CTU, NHS trust or University
30% Statistician in pharmaceutical company or contract research organisation
15% Analyst in Financial or commercial industries
5% Other, e.g. Teacher training

Funded Masters by Research

Are you interested in being paid to research? The Lancaster-based Centre for Global Eco-Innovation runs funded Masters and PhD projects in cooperation with local and national businesses. Each company will have a unique project for you to work on, and your research will be monitored and assessed by Lancaster University.

Learn more

Key Contacts

Dr Deborah Costain

Senior Lecturer in Statistics

Bayesian and Computational Statistics, DSI - Foundations, STOR-i Centre for Doctoral Training

+44 (0)1524 594666