Course summary
The aim of the programme is to foster an interest in theoretical and applied statistics and equip you for work as a professional statistician. This degree offers students who enjoy statistics the opportunity to build on their interests and learn how to apply their knowledge in the real world by analysing and critically interpreting data, building statistical models of real situations, and using cutting edge programming tools and software packages. The compulsory course will provide you with comprehensive coverage of fundamental aspects of probability and statistical methods and principles. It provides the foundations for the optional courses on more advanced statistical modelling, computational methods and advanced probability theory. Options also include specialist courses from the Departments of Methodology, Mathematics, Economics and Social Policy. Below are some indicative pathways:
- Statistics route with a broad area of applications such as economics, research methodology and social sciences
- Route tailored towards computational statistics, machine learning and data science
- Route towards applications of statistics to econometrics and finance
Entry requirements
Visit the website for full details.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
More information on fees and funding can be found on our website: https://www.lse.ac.uk/study-at-lse/Graduate/fees-and-funding
Sponsorship information
LSE Graduate Support Scheme; other scholarships and awards are available.
Provider information
London School of Economics and Political Science, University of London
Houghton Street
Westminster
WC2A 2AE