BSc Economics and Data Science

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.

Applicants are encouraged to take the Test of Mathematics for University Admission (TMUA). The test is not mandatory, however a good performance on the test may make an application more competitive.

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

In the second year, you’ll take four compulsory courses and choose twp units from a range of economics, mathematics and statistics courses.

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.

Department of Statistics

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

• academic achievement, including predicted and achieved grades (also see specific information about this programme in the "entry requirements" above)
• subjects and subject combinations (also see specific information about this programme in the "entry requirements" above)
• your personal statement
• your teacher’s reference
• educational circumstances

We’re looking for students who demonstrate:

• outstanding mathematical abilities
• interests in developing strong quantitative and analytical skills to analyse economic behaviours and data patterns
• interests in data science and using programming to analyse data and economic relationships
• interests in economic theory and its synergy with data science in tackling real-world problems
• independent thinking
• intellectual curiosity and the ability to ask incisive questions
• creativity and flexibility in problem-solving
• self-motivation and a willingness to work hard

The 2027/28 tuition fee for Home students hasn’t yet been set. As a guide, the 2026/27 fee for Home students is £9,790. The Home undergraduate fee is charged in line with the maximum fee determined by the UK Government and may increase in subsequent years, in line with government plans.

The 2027/28 tuition fee for Overseas students is currently under review and will be set in the Summer of 2026. As a guide, the 2026/27 fee for Overseas students is £35,700 per year.

The Overseas student undergraduate fee may rise in line with inflation in subsequent years. Once announced, the Overseas tuition fee will remain at the same amount for each subsequent year of your full-time study regardless of the length of your programme. This information applies to new Overseas undergraduate entrants starting their studies from 2027 onwards.

Formative coursework

All taught courses include formative coursework, which is not assessed. This helps prepare you for summative assessment. We use a wide range of formative assessment methods, such as essays, case studies, reports, quizzes and mock exams.

Feedback on coursework is an essential part of the learning experience. Class teachers mark formative coursework and feedback is normally given within two weeks – provided the work is submitted on time.

Summative assessment

This assessment counts towards your final course mark and degree award.

Most courses are assessed by a three-hour exam in June. A small number of courses are assessed by project work. Your degree award will be based on assessment over all three years, with particular emphasis on your work in the second and third years.

You’ll receive feedback on summative coursework as part of the assessment for individual courses (except on final submitted dissertations). Feedback is normally provided before the examination period.

Assessment on individual courses can change from year to year.

Find out more about LSE’s teaching and assessment methods.

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.

From CV workshops through to careers fairs, LSE offers lots of information and support to help you make that all-important step from education into work.

Many of the UK’s top employers give careers presentations at the School during the year and there are numerous workshops covering topics such as job hunting, managing interviews, writing a cover letter and using LinkedIn.

See LSE Careers for further details.