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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.

Student stories

Portrait photo of student Liya Don
LSE has taught me the value of pushing boundaries and seizing every opportunity, shaping my journey toward excellence.
Liya Don, Kazakhstan, BSc Data Science

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

Discover Uni

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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