Data Science BSc
London School of Economics and Political Science, United Kingdom
BSc Data Science
London School of Economics and Political Science (LSE)
Data Science
BSc Data Science at LSE: Program Overview
The BSc Data Science at LSE 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 program has a strong mathematical focus, equipping you with the skills to extract insights from data and report results effectively.
As you progress through the program, you will build your understanding of classical and modern data analytics techniques, modelling, statistical machine learning, and artificial intelligence. You will also 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.
Housed within LSE's Department of Statistics, one of the oldest and most distinguished in the UK, this program benefits from a department with an international reputation for the development of statistical methodology and close links with the LSE Data Science Institute. Graduates are well prepared for careers in banking, financial services, healthcare, and the public sector.
Key Program Highlights
- Strong mathematical foundation combined with cutting-edge data science, machine learning, and AI training
- Taught by the Department of Statistics, which has pioneered contributions to research and teaching for over a century
- Close links with the LSE Data Science Institute, an interdisciplinary hub for data science with social, economic, and political focus
- Located in central London with direct access to leading employers in finance, technology, consulting, and government
Curriculum and Modules
The BSc Data Science curriculum is structured across three years, progressing from foundational mathematical and statistical methods to advanced topics in machine learning, AI, and applied data analytics. The program blends rigorous theoretical training with hands-on programming and real-world problem solving.
Covers foundational mathematical techniques essential for data science, including calculus, linear algebra, and optimisation methods used in statistical modelling and machine learning.
Introduces classical and modern statistical techniques for data analysis, covering probability theory, inference, hypothesis testing, and regression modelling.
Develops proficiency in programming languages such as Python and R, focusing on data manipulation, visualisation, and implementing data analytics workflows.
Explores supervised and unsupervised learning algorithms, neural networks, deep learning, and their applications to real-world data science problems.
Examines the broader social, economic, and ethical implications of data science, including data governance, privacy, and the societal impact of algorithmic decision-making.
Elective Modules
Admission Requirements
Admission to the BSc Data Science at LSE is highly competitive. The program seeks students with strong mathematical ability, analytical thinking, and a genuine interest in data science. All applications are reviewed through Uni4Edu, which manages the full admissions process on your behalf.
Academic Requirements
- A-Level RequirementA*AA with Mathematics at A* (A-level Further Mathematics expected where offered, grade A required)
- IB Diploma Requirement38 points overall, including 766 at Higher Level, with 7 in Mathematics: Analysis and Approaches
- GCSE RequirementStrong profile with several grades at A/7 and A*/8-9; minimum grade B/6 in English and Mathematics
- Admissions TestTest of Mathematics for University Admission (TMUA) encouraged; not mandatory but a strong score strengthens the application
- International QualificationsEquivalent qualifications from international education systems are accepted; contact Uni4Edu for country-specific equivalencies
English Language Requirements
- IELTSContact Uni4Edu for the current minimum score requirements
- TOEFL iBTContact Uni4Edu for the current minimum score requirements
- Other TestsPTE Academic and other approved English language tests are also accepted; contact Uni4Edu for details
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
LSE offers a range of scholarships and financial support schemes for both home and international undergraduate students. These awards are designed to reduce financial barriers and ensure that talented students from all backgrounds can access the program. Contact Uni4Edu for guidance on eligibility and the application process.
LSE Undergraduate Support Scheme
GBP 15,000 to GBP 25,000 per year (needs-based)A needs-based funding scheme for overseas undergraduate students, offering financial assistance that is renewable for the full duration of the program. Awards are determined based on demonstrated financial need.
Uggla Family Scholars Programme
Partial tuition fee award plus full financial support for accommodation and living expensesAvailable to both home and overseas students from underrepresented backgrounds. Provides 10 scholarships annually, including mentorship, travel funding, and comprehensive financial support covering tuition, accommodation, and a termly stipend.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Data scientists are in high demand across both the private and public sectors. Graduates of the BSc Data Science at LSE possess strong quantitative skills, programming proficiency, and analytical capabilities that are sought after by leading employers worldwide. LSE alumni enjoy successful careers in diverse areas including banking, accounting, finance, consulting, government, and technology.
Potential Career Roles
Top Employers of LSE Graduates
Rankings and Recognition
The London School of Economics and Political Science is consistently ranked among the top universities globally, with particular strength in social sciences, economics, and data science. LSE was named University of the Year 2025 by the Times and The Sunday Times Good University Guide and holds top positions across major international ranking systems.
| Subject | Ranking Body | Rank |
|---|---|---|
| Social Sciences and Management | QS World Rankings by Subject | #6 |
| Data Science and AI | QS World Rankings by Subject | Top 100 |
| Economics and Econometrics | QS World Rankings by Subject | #8 |
| Statistics | The Complete University Guide | Top 5 in UK |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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