The Department of Statistics offers three undergraduate degrees: BSc Actuarial Science, BSc Business Mathematics and Statistics and BSc Statistics with Finance. The Actuarial Science degree applies mathematical skills to a range of applied subjects and helps to solve important problems for insurance, government, commerce, industry and academic researchers. Recent graduates have gone on to work in the areas of insurance (life and general), as well as banking, finance and statistics. The BMS degree is a quantitative programme with a strong business-related component. Our students receive a thorough grounding in mathematics and statistics, and can choose to specialize in a variety of fields such as economics, finance, information systems, accounting, or demography. BMS graduates are broadly employable, and recent graduates have gone on to work in the areas of insurance, banking, accounting, statistics, civil service, postgraduate studies and business consultancy. The Statistics with Finance degree provides students with in depth understanding of statistics, mathematics, finance and the interaction among the three and prepares students for further study, or for financial or banking careers, particularly in areas requiring the application of quantitative skills.
There are also two taught MSc programmes: MSc Statistics and MSc Risk & Stochastics. The MSc in Risk and Stochastics offers in-depth instruction in advanced mathematical risk theory and its ramifications in insurance and finance. The course builds on the successful BSc in Actuarial Science within the Department of Statistics. The programme is LSE's timely response to the strong developments in the interface of insurance and finance, which is manifest in mergers across the industries, in countless novel products, and in the strong impact of modern financial mathematics on insurance mathematics. The MSc in Statistics provides an excellent grounding for employment in the private or public sectors in Statistics, related quantitative fields or for academic research. The proof of the growing need for statistical modelling in many fields is the very strong career opportunities for our MSc graduates. Focusing on statistical methodology and its interface with economics, finance and social science, the MSc has an emphasis on the most successful statistical methods as well as cutting-edge new developments offering hands-on experience in real data analysis using the R Package.
In 2012/13, a new stream for the MSc Statistics programme was introduced called MSc Statistics (Financial Statistics).
The Department of Statistics also offers opportunities for doctoral research(MPhil/PhD) within our three main research groups, as well as in the Centre for the Analysis of Time Series (CATS). A dedicated Research Students section can be accessed here.
In support of all students studying within the Department of Statistics, there is a dedicated administrative team that can be found on the 6th floor of Columbia House. Office opening times are from 10:00-13:00 and 14:00-16:00 Monday to Friday in COL.6.11. In addition, each programme of study is run by an academic member of staff acting as Course Tutor (BSc) or Programme Director (MSc and MPhil/PhD). Course Tutors and Programme Directors oversee all aspects of the academic management of courses offered by the department. Details of all Staff and research students in the Department of Statistics can be found on the Who's Who pages.
Head of Department: Professor Chris Skinner
Deputy Head of Department: Professor Pauline Barrieu
BSc Actuarial Science Course Tutors: Dr Hao Xing and Dr Angelos Dassios
BSc Business, Mathematics & Statistics Course Tutor: Professor Irini Moustaki (Michaelmas term); Dr Wicher Bergsma (Lent and Summer terms)
BSc Statistics with Finance Course Tutor: Professor Irini Moustaki (Michaelmas term); Dr Wicher Bergsma (Lent and Summer terms)
MSc Statistics Programme Director: Professor Fiona Steele
MSc Statistics (Financial Statistics) Programme Director: Dr Clifford Lam
MSc Risk & Stochastics Programme Director: Dr Umut Cetin
Doctoral Research Programme Director: Dr Angelos Dassios
Departmental Manager: Imelda Noble
Undergraduate Administrator: Penelope Smith
MSc Administrator: Sarah McManus
Research Administrator: Ian Marshall
Other useful information
On joining the School, undergraduate students will be assigned a member of academic staff within the Department of Statistics as an Academic Adviser who will offer guidance on course options, finances and life at university. A full list of Academic Advisers for the current academic year can be accessed via the course homepage on Moodle. For MSc students this role is taken on by the Programme Director. Similarly, research students are allocated first and second year supervisors who are both responsible for offering academic guidance and advice, along with helping with more practical queries and concerns.
Students also have the opportunity to raise concerns about any issue they are facing through the Staff Student Liaison Committee (SSLC). This committee provides a forum within which academic staff and students can raise and discuss issues relating to: teaching within the department; the content and design of courses; departmental administration; and the facilities provided by the department and the School. There is a separate committee for each undergraduate degree programme and taught Masters, as well as one for the department's MPhil/PhD programme. Please click here for the latest SSLC guidance for chairs and members.
Maths & Stats Support Centre
What is the Maths & Stats Support Centre?
The Maths & Stats Support Centre has been set up to help students studying for their first year courses. It does this by bringing these subjects, and their teachers, outside of the classroom to offer a space where they can get direct support and which also offers space to study (room permitting).
Any student from the School is able to drop in and ask questions on their first year mathematics and statistics subjects, whether they are current students or are in need of review.
What courses will Support Centre teachers help with?
MA100 Mathematical Methods
MA103 Introduction to Abstract Mathematics
MA107 Quantitative Methods (Mathematics)
MA110 Basic Quantitative Methods
ST102 Elementary Statistical Theory
ST107 Quantitative Methods (Statistics)
Who can go to the Centre?
Any LSE student who is taking, or has taken, a first year Mathematics or Statistics course can drop in and ask questions about these courses. You might be a current student, or you might be a second year student taking another course and you need to review aspects of the Mathematics or Statistics you studied last year.
Find out more HERE.