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UCAS code:N3UD

BSc Data Science

Discover how data science can help us solve real-world problems. Gain quantitative skills to prepare you for a range of professional and managerial careers.
BSc Data Science at LSE



Our BSc Data Science brings together the study of data science, machine learning, statistics and mathematics – with an emphasis on their real-world applications and impact on economics and society.

The programme has a strong mathematical focus. You’ll learn about the properties of data, how to extract insights from data, and how to report the results. As you progress, you’ll build your understanding of classical and modern data analytics techniques, modelling, statistical machine learning, and AI. You’ll learn how to carry out typical workflows in data analytics, make inferences based on statistical data and become proficient in computer programming for data science.

Data scientists are in high demand in the private and public sectors. By the time you graduate, you’ll have all the practical skills and theoretical knowledge to progress to a career in areas such as banking, financial services and healthcare.

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 Statistics at LSE is one of the oldest and most distinguished in the UK.

The department has an international reputation for the development of statistical methodology and a long history of pioneering contributions to research and teaching. Many of the world’s most famous and innovative statisticians have been associated with LSE.

Our research spans four main areas – data science, probability in finance and insurance, social statistics and time series, and statistical learning. The department has close links with the Data Science Institute at LSE – an interdisciplinary institute that fosters the study of data science, with a particular emphasis on the social, economic and political contexts.

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 Mathematics.

The department’s research strengths are reflected in our teaching curriculum. We have a comprehensive range of undergraduate and postgraduate degrees and doctoral research opportunities – hosted in a vibrant department with a supportive and friendly community of staff and students.

Our alumni enjoy successful careers in diverse areas, such as banking, accounting, finance, statistics, government and business consulting while others pursue postgraduate study or research. Our alumni frequently return to LSE to share their career experiences with current students.

Learn more about our programmes and research.

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


Graduates from the programme will be prepared for further study, or for professional and managerial careers, particularly in areas requiring the application of quantitative skills.

Further information on graduate destinations for this programme

Median salary of our undergraduate students 15 months after graduating:


Top 4 sectors our students work in:

Financial and Professional Services
Accounting and Auditing

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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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