倫敦政治經(jīng)濟(jì)學(xué)院

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.

You may also be interested in the nine-month taught stream of this programme, MSc Statistics (Social Statistics), which does not include the dissertation portion of the programme.

Teaching methods

LSE is internationally recognised for its teaching and research and therefore employs a rich variety of teaching staff with a range of experience and status. Courses may be taught by individual members of faculty, such as lecturers, senior lecturers, readers, associate professors and professors. Many departments now also employ guest teachers and visiting members of staff, LSE teaching fellows and graduate teaching assistants who are usually doctoral research students and in the majority of cases, teach on undergraduate courses only.

Assessment

All taught courses include formative coursework which is unassessed. It is designed to help prepare you for summative assessment which counts towards the course mark and to the degree award. LSE uses a range of formative assessment, such as essays, problem sets, case studies, reports, quizzes, mock exams and many others. Most courses are summatively assessed by a two-hour exam in the summer term, although some contain an element of course work.

Careers

There is a high demand for graduates with advanced statistics training and an interest in social science applications, and students on this programme have excellent career prospects.

Potential employers include the public sector (the Office for National Statistics, government departments, universities), market research organisations, survey research organisations and NGOs. This programme would be ideal preparation for doctoral research in social statistics or quantitative social science.