Statistics MSc

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Organisation
London School of Economics and Political Science
Start - End
26 Sep
Study Options
Full Time
Fee
GBP 15816 - 15816
Fee International
GBP 24456 - 24456

The MSc in Statistics provides intensive training in statistics applicable to the social sciences, economics and finance.

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

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

You may also be interested in the 12-month research stream of this programme, MSc in Statistics (Research), which includes a dissertation component.

Programme structure and courses

In addition to the compulsory course, you will take courses to the value of three units from a range of options. Options include more advanced statistical modelling, computational methods, statistical computing and advanced probability theory, as well as specialist courses from the Departments of Methodology, Mathematics, Economics and Social Policy.

See website for module information.

Teaching and assessment

Contact hours and independent study

Within your programme you will take a number of courses, often including half unit courses and full unit courses. In half unit courses, on average, you can expect 20-30 contact hours in total and for full unit courses, on average, you can expect 40-60 contact hours in total. This includes sessions such as lectures, classes, seminars or workshops. Hours vary according to courses and you can view indicative details in the Calendar within the Teaching section of each course guide.

You are also expected to complete independent study outside of class time. This varies depending on the programme, but requires you to manage the majority of your study time yourself, by engaging in activities such as reading, note-taking, thinking and research.

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. You can view indicative details for the teacher responsible for each course in the relevant course guide.

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.

An indication of the formative coursework and summative assessment for each course can be found in the relevant course guide.

Student support and resources

We’re here to help and support you throughout your time at LSE, whether you need help with your academic studies, support with your welfare and wellbeing or simply to develop on a personal and professional level.

Whatever your query, big or small there are a range of people you can speak to and who will be happy to help.

Academic mentors – an academic member of staff who meets with you during the course of the year to discuss your academic progress and who can help with any academic, administrative or personal questions you have. (See Teaching and assessment)

Department librarians – they will be able to help you navigate the library and maximise its resources during your studies.

Accommodation service - they can offer advice on living in halls and offer guidance on private accommodation related queries.

Careers

Students on this programme have excellent career prospects. Former students have taken up positions in consulting firms, banks and in the public sector. Many go on to take higher degrees. Graduates of the MSc are awarded Graduate Statistician (GradStat) status by the Royal Statistical Society.

Further information on graduate destinations for this programme

Support for your career

Many leading organisations give careers presentations at the School during the year, and LSE Careers has a wide range of resources available to assist students in their job search. Find out more about the support available to students through LSE Careers.


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