Program Overview

Introduction to the BSc Mathematics with Data Science Programme

The BSc Mathematics with Data Science programme at the London School of Economics and Political Science (LSE) combines rigorous training in mathematics with an in-depth study of data science advancements. This programme enables students to develop strong quantitative knowledge and data analysis skills that are highly sought after in employment.

Programme Details

Overview

• The programme is offered by the Department of Mathematics at LSE.
• It is a three-year full-time programme.
• The programme code is G140.

Entry Requirements

• Home Students:
  • GCSEs: Several GCSE grades at A (or 7) and A* (or 8-9), including English Language and Mathematics at B (6) or higher.
  • A-levels: AAA, with an A in Mathematics. AS- or A-level Further Mathematics is expected to be taken and a grade A achieved.
  • Contextual admissions A-level grades: AAB with an A in Mathematics.
• Overseas Students:
  • Select a country to find the equivalency to A-levels of your qualification.
• Additional Tests:
  • Applicants are encouraged to take the Test of Mathematics for University Admission (TMUA).

Programme Content

• Year 1:
  • Five compulsory foundation courses and LSE100.
  • Courses include Microeconomics I, Programming with Data Science, Mathematical Methods, Elementary Statistical Theory, and Introduction to Abstract Mathematics.
• Year 2:
  • Five compulsory courses.
  • Optional courses include Probability, Distribution Theory and Inference, or Probability and Distribution Theory, and a further half-unit option.
• Year 3:
  • Four half-unit courses from a range of mathematics and statistics options.
  • Other optional courses totalling two units.

Programme Regulations

• For the latest list of courses, please refer to the relevant School Calendar page.
• Changes to programmes and courses may be made after you’ve accepted your offer of a place.

Why Study with Us

• 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.
• Research encompasses four main overlapping areas: discrete mathematics, mathematical game theory, financial and related mathematics, and optimisation and algorithms.

Your Application

• We consider each application carefully, taking into account all the details you’ve included on your UCAS form.
• You may also have to provide evidence of your English proficiency.

Fees and Funding

• Home Students: £9,535 per year (provisional 2026/27 tuition fee).
• Overseas Students: £35,700 per year (2026/27 fee).
• LSE provides generous financial support, in the form of bursaries and scholarships, to UK, EU, and overseas students.

Learning and Assessment

• Teaching: Lectures, classes, and computer workshops.
• Academic Support: Academic mentor, Learning Lab, and Disability and Mental Health Service.
• Assessment: Formative coursework and summative assessment, including exams and coursework.

Graduate Destinations

• Recent graduates have gone on to work in corporate finance, accountancy, management, banking, and data analysis.
• Many have pursued graduate study in areas related to mathematics, economics, or both.
• Median salary of our undergraduate students 15 months after graduating: £52,000.

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.

Related Programmes

• BSc Economics
• BSc Mathematics and Economics
• BSc Actuarial Science
• BSc Mathematics, Statistics and Business
• BSc Data Science
• BSc Econometrics and Mathematical Economics
• BSc Economics and Data Science
• BSc Mathematics with Economics
• BSc Finance
• BSc Financial Mathematics and Statistics

Conclusion

The BSc Mathematics with Data Science programme at LSE offers a unique combination of mathematical and data science skills, preparing students for a wide range of career opportunities. With its rigorous academic programme, vibrant intellectual community, and generous financial support, LSE is an ideal institution for students seeking to pursue a degree in mathematics and data science.