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Undergraduate
UCAS code:L1N3
Department of Statistics

BSc Economics and Data Science

Explore the complexities of the economy and the power of data. Acquire cutting-edge quantitative skills to tackle real-world economic problems and challenges.

Overview

Introduction

Our BSc Economics and Data Science integrates the fields of economics and data science to provide a comprehensive understanding of economic principles, advanced data science methodologies, and the synergy between these two disciplines to address real-world problems.

The programme is designed for students who want to combine economic and econometrics theory with cutting-edge data analysis methods to gain insights.

The programme has a strong mathematical focus. You’ll learn about economics, econometrics, classical and modern data analysis tools, machine learning methods, and AI and become proficient in computer programming for data science.

This unique programme equips you with the conceptual frameworks and skills to analyse economic relationships, make data-driven decisions, and tackle real-world problems. It provides you with a programme of study designed for students who combine a strong analytical ability with the curiosity to apply rigorous economics and statistical methods to social science issues using data analysis.

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.

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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

On this programme, you'll study 12 units over three years, plus LSE100.

Year 1

You’ll take six compulsory foundation courses, including four half-unit courses. Additionally, you’ll take LSE100.

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

Overview

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.

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The 2026/27 tuition fee for home students hasn't yet been set. As a guide, the 2025/26 fee for home students is £9,535 per year. The home student undergraduate fee may rise in line with inflation in subsequent years.

Learning and assessment

How you learn

Graduate destinations

Overview

Graduates of the BSc in Economics and Data Science can pursue a variety of exciting roles, including:

  • Data Analyst: use statistical tools to interpret complex data sets and provide actionable insights for businesses and organisations
  • Economic Consultant: advise companies and governments on economic policies, market trends, and financial strategies
  • Financial Analyst: analyse financial data to help businesses make informed investment decisions
  • Policy Analyst: work with think tanks or government agencies to develop and evaluate public policies based on economic data.

Median salary of our undergraduate students 15 months after graduating:

£36,500

Top 5 sectors our students work in:

Financial and Professional Services
Insurance
Information, Digital Technology and Data
Accounting and Auditing
Other Professional, Scientific and Technical Activities
This data is drawn from the 2021/22 Graduate Outcomes Survey, run by the Higher Education Statistics Agency (HESA). Median salaries are calculated for respondents who are paid in UK pounds sterling and in full-time employment.

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