Entry requirements

Upper second class honours (2:1) degree or equivalent in a relevant discipline, including a substantial amount of statistics and mathematics.

Months of entry

September

Course content

About the MSc programme

The MSc Statistics (Social Statistics) (Research) aims to provide high-level training in the theory and application of modern statistical methods, with a focus on methods commonly used in the social sciences.

You will gain insights into the design and analysis of social science studies, including large and complex datasets, study the latest developments in statistics, and learn how to apply advanced methods to investigate social science questions.

The programme includes two core courses which provide training in fundamental aspects of probability and statistical theory and methods, the theory and application of generalised linear models, and programming and data analysis using the R package. These courses together provide the foundations for the optional courses on more advanced statistical modelling, computational research and statistical computing. Options also include specialist courses from the Departments of Methodology, Geography and Social Policy. You will also complete a dissertation on an approved topic of your choice.

Graduates of the programme are awarded Graduate Statistician (GradStat) status by the Royal Statistical Society.

The research stream is similar to the MSc Statistics (Social Statistics) nine-month programme but involves a compulsory dissertation which replaces one unit's worth of optional courses and extends the length of the programme to 12 months.

Department of Statistics

The Department is home to internationally respected experts in statistics and data science. Maintaining and advancing our leading reputation for teaching and research is our top priority. We offer a vibrant research environment and a comprehensive programme of undergraduate and postgraduate degrees. The Department has grown in recent years, especially in the area of data science which is a key priority for education and research in the LSE2030 strategy. We aim to play a leading role in fostering the study of data science and new forms of data, with a focus on its social, economic, and political aspects.

Information for international students

LSE is an international community, with over 140 nationalities represented amongst its student body. We celebrate this diversity through everything we do.

If you are applying to LSE from outside of the UK then take a look at our Information for International students.

Fees and funding

Fees

Every graduate student is charged a fee for their programme. Visit the website for more information about the fees.

Funding

The School recognises that the cost of living in London may be higher than in your home town or country, and we provide generous scholarships each year to home and overseas students.

This programme is eligible for needs-based awards from LSE, including the Graduate Support Scheme, Master's Awards, and Anniversary Scholarships.

Selection for any funding opportunity is based on receipt of an application for a place – including all ancillary documents, before the funding deadline.

In addition to our needs-based awards, LSE also makes available scholarships for students from specific regions of the world and awards for students studying specific subject areas.

Find out more about financial support.

Qualification, course duration and attendance options

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

Course contact details

Name
Student Marketing, Recruitment and Study Abroad
Phone
+44 (0)20 7955 6613