This programme is based in the Department of Mathematics and offers the following benefits: Increased knowledge of mathematics, in particular in the following areas: algorithms, game theory, discrete mathematics, probability and stochastics, optimisation (dependent on option choices) Emphasis on algorithms and computational techniques Opportunity to improve personal skills, including logical reasoning, quantitative analysis, independent learning and the presentation of technical results Opportunity to take courses in related disciplines such as economics, finance, operational research and statistics
Applicants should normally possess at least an upper second class honours degree in a mathematically based subject from a UK university, or an equivalent qualification from overseas. Candidates with degrees in scientific, engineering or social science subjects will be considered, provided that they have a strong background in the concepts and techniques of mathematics, including experience in rigorous mathematical proofs. Prior knowledge of computational mathematics and social science applications is not required.
Students will study courses to the value of four full units. Teaching on each half unit lasts for roughly ten weeks, with lectures, and classes or seminars. The average number of taught contact hours is approximately 12 hours per week (depending on the course modules chosen). Lecturers also offer weekly office hours. In addition, you will undertake a project, equivalent to a full unit, in an appropriate branch of mathematics, and present your work in the form of a dissertation. The Department's relatively small size enables us to pay greater attention to individual students' needs.
(* half unit)
Dissertation in Mathematics is an individual, substantial project serving as an introduction to mathematical research methods. Every student will investigate and study an area of mathematical research or application of advanced mathematical techniques, and then write a report on their findings. Either Algorithms and Computation*, which is aimed at students with no or limited experience in programming and algorithms. The course provides an introduction to programming in Java, data structures and the mathematics underlying the theory of algorithms or Advanced Algorithms*, which is for students with sufficient background in computing and programming and will cover more advanced topics such as introduction to NP-completeness, approximation algorithms, randomised algorithms, streaming algorithms and numerical algorithms. Students will be expected to choose courses to the value of two and a half units from a range of mathematics and social science options.
This programme is ideal preparation for a range of careers in industry, finance, government and research. Graduates of the programme have found employment in companies such as Amazon; BlackRock; Credit Suisse; Facebook; Goldman Sachs; Google; KPMG; National Grid and RBS.
I chose MSc in Applicable Mathematics because I liked the variety of topics offered and the fact that I learnt skills that I can apply in real life situations. For example, I now have some basic knowledge of Java. Also, the dissertation element of the programme allowed me to develop various project-related skills which I will undoubtedly need in the future. The facilities at the LSE; quality of teaching and overall atmosphere were excellent.
Ana de Corbavia
I started attending the MSc in Applicable Mathematics programme while being in the last stage of my doctoral studies in Banking and Finance which I pursued at the University of St. Gallen and Harvard University. I applied for the MSc in Applicable Mathematics programme at the LSE with the intention to deepen my quantitative knowledge in order to better understand the mathematics underlying various economics-related areas. However, this MSc offers a lot more than that: a number of Finance-related subjects with in-depth quantitative analysis, Game-Theory oriented subjects, programming-oriented courses with a broad spectrum of applications, and some very interesting, didactically excellently presented mathematical applications in Information, Communication and Cryptography or in Social Choice Theory. With these inputs, this programme challenges its students to think at levels they never thought possible and opens up a variety of possibilities for their future careers. Personally, I believe that this programme has provided me with a number of skills and insights I will be able to use in practice as well as in research.
Besides, the programme offers the opportunity to make friendships for life, both with fellow students with distinguished backgrounds and members of the faculty in a very collegial and supportive environment. Furthermore, the international surrounding of the LSE enables its students to enrich the learning process for one another and to grow together beyond the degree-related aspects.
For all this, I believe that all the MSc students are forever changed by their invaluable experience on the MSc in Applicable Mathematics.
Bice di Gregorio
Coming from a BSc in Economics and Business Finance, I initially thought this MSc would be unsuitable for someone with my background. However, I quickly realized this program is truly dedicated to all students that have a passion for Mathematics and would like to improve their analytical and quantitative skills.
Thanks to the advice and support of the academic and departmental staff, I ended up having a great year at LSE. I chose courses that were appropriate to my knowledge of Mathematics such as game theory and continuous time optimization, which I also used for my dissertation. Moreover, thanks to the option of taking extra-departmental courses, I also attended two modules of advanced corporate finance, in line with my previous studies.
In the end, I think this MSc overcame my expectations. On top of improving my knowledge in Mathematics, it also gave me skills that will surely open new opportunities in life, either within the academic or professional environment.
On graduation I found work in an Investment Bank in London in the corporate finance department.
I obtained my BSc in Mathematics and Economics from LSE and wanted to deepen my knowledge of applying mathematical concepts to economic problems. What I like most about this programme is the interdisciplinary approach – being able to combine subjects from several LSE departments, and also the ability to set a strong focus on specific subject, eg game theory. The Mathematics Department has a strong sense of community, and I have benefited from both the support of academic faculty and discussions with fellow students. The most memorable event of my MSc was a meeting with Nobel Prize Laureate Robert Aumann, to which my MSc thesis advisor invited me when he visited the School in 2006.
After my MSc I plan to start the European Doctoral Programme in Quantitative Economics.
I was already at LSE on an undergraduate course (BSc Mathematics and Economics) and wanted to stay on as the postgraduate course was perfect for expanding my maths knowledge. This degree is fairly new but the Maths Department are great at making studying a lot easier and fun. The course is an excellent challenge for me and the many different module options makes each person's degree unique. Everyone is trying to do well which makes for a competitive and stimulating atmosphere. The professors are experts in their field and always more than willing to share their knowledge. Perfect for a postgraduate programme. The Maths department at LSE has helped me learn the techniques for research and given me the opportunity to enhance/ practise my ability to give technical presentations.
After LSE, I am planning on doing a PhD in the Mathematics of Cryptography at Royal Holloway University of London and this MSc has put me on a good footing for that.
Around £2 million is available annually in the form of awards from the Graduate Support Scheme (GSS). This scheme is designed to help students who do not have the necessary funds to meet all their costs of study. The standard value of GSS awards ranges from £3,000 to £10,000, depending on financial need. The intention of the Graduate Support Scheme is to support students who would otherwise struggle to come to LSE for financial reasons. The numbers of applicants in this category vary from year to year; you are encouraged to apply as early as possible because funds are limited. Your financial information will not be considered as part of your application for a place at the School.
Value of Scholarship(s)
£3,000 - £10,000
The Graduate Support Scheme is open to all applicants.
Once you have applied for admission, you can access the Graduate Support Scheme application form via Graduate Admissions' web tracker system.
We aim to notify you of the outcome of your application at the point of an offer of admission to the School being made. Please do not contact us before you receive a formal offer of admission. If you do not receive an offer of admission, the data you have submitted will be destroyed.
If you have submitted an application after receiving an offer of admission, then we aim to notify you of the outcome of your application within 4 weeks of submission. Please do not contact us if it is less that 4 weeks since you submitted your application.
The School has a wide range of scholarships available for taught master's students coming to LSE from certain countries and regions of the world. Scholarships are available for LSE students from Europe, North America, South America, the Middle East, Africa, Asia and Australasia.
Value of Scholarship(s)
Award values vary
Country of domicile, consult LSE Financial Support Office for specific criteria.
Students must complete the Graduate Support Scheme online application form, which is available on the Graduate Admissions' web tracker system once you apply for admission.
You will be automatically considered for all the scholarships for which you are eligible by completing and submitting this application form. It is therefore only necessary to complete application form once, regardless of how many awards you would like to be considered for.