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UCAS code:G140

BSc Mathematics with Data Science

Combine your study of maths with data science - and explore the fascinating world of AI and machine learning.



This BSc Mathematics with Data Sciences combines rigorous training in mathematics with an in-depth study of data science advancements.

Initially, you’ll study foundational mathematical methods and statistical theory before progressing to more advanced topics such as programming, machine learning and AI.

During your studies, you’ll go well beyond exploring these topics in a theoretical way – you’ll look at the broader social science applications in economics, finance and society.

The programme enables you to develop strong quantitative knowledge and data analysis skills that are highly sought after in employment. Our graduates are in great demand in sectors such as banking, finance, accounting, data analysis, IT, consulting, insurance and research.

Entry requirements

Here, you can check our entry requirements for GCSEs, A-levels (please read them alongside our information about subject combinations) and the International Baccalaureate (IB) Diploma. We also consider applications from students with a range of other UK qualifications and from overseas. Please select the overseas button below and choose your country from the dropdown list to find the equivalency to A-levels of your qualification.


We welcome students from all walks of life at LSE. We want to recruit students with the very best academic merit, potential and motivation. So, whatever your background, please do apply. Get all the details on our general entry requirements.

Competition for places at LSE is high. We cannot guarantee you an offer of a place even if you’re predicted or achieve our standard entry requirements.

Our standard offer requirements are intended only as a guide and, in some cases, you’ll be asked for different grades.

Programme content

Why study with us

Discover more about our students and department.

Meet the department

The Department of Mathematics aims to be a leading centre for the study of mathematics in the social sciences.

The department has a vibrant intellectual community, with fantastic students, internationally respected academics and high-achieving alumni. Our department has grown rapidly in recent years, with exciting developments in research and new teaching programmes and courses.

This research encompasses four main overlapping areas:

  • discrete mathematics and algorithms
  • mathematical game theory
  • financial and related mathematics
  • operational research.

All aspects of our research were ranked world-leading or internationally excellent in the most recent Research Excellence Framework (2021), submitted jointly with the Department of Statistics.

We embrace the School’s ethos of research-led teaching. Currently, we offer four undergraduate and three postgraduate programmes, as well as doctoral research opportunities on our MPhil/PhD in Mathematics. These programmes are all in high demand – attracting talented students from diverse backgrounds.

Our programmes are highly interdisciplinary and we have close ties with other departments at LSE, including Statistics, Economics, Finance, Management and the Data Science Institute.

Whatever your study route, you’ll benefit from a welcoming, inclusive and friendly learning environment where students and staff are supported to achieve their best.

Learn more about our programmes, recent research and regular events and seminars.

Your application


We consider each application carefully, taking into account all the details you’ve included on your UCAS form, such as:

You may also have to provide evidence of your English proficiency, although this is not needed at the application stage. See our English language requirements page.


Fees and funding

The table of fees shows the latest tuition fees for all programmes.

You're charged a fee for each year of your programme. Your tuition fee covers registration and examination fees payable to the School, lectures, classes and individual supervision, lectures given at other colleges under intercollegiate arrangements and, under current arrangements, membership of the Students' Union. It doesn't cover living costs or travel or fieldwork.


Learning and assessment

How you learn

Graduate destinations


Recent graduates have gone on to work in the areas of corporate finance, accountancy, management, banking, and in data analysis related to those businesses. Many have pursued graduate study in areas related to mathematics, economics, or both.

Further information on graduate destinations for this programme

Median salary of our undergraduate students 15 months after graduating:


Top 3 sectors our students work in:

Financial and Professional Services
Accounting and Auditing

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Every undergraduate programme of more than one year duration will have Discover Uni data. The data allows you to compare information about individual programmes at different higher education institutions.

Programmes offered by different institutions with similar names can vary quite significantly. We recommend researching the programmes you're interested in and taking into account the programme structure, teaching and assessment methods, and support services available.

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