BSc Mathematics with Data Science
About this course
Mathematics with data science brings together two fields that are increasingly inseparable in practice. Mathematics provides the rigorous logical and quantitative foundation, the language of proof, structure and abstraction, on which data science depends. Data science applies mathematical and statistical tools to large and complex datasets, extracting patterns, making predictions and informing decisions in fields as varied as economics, healthcare, engineering, finance and public policy. The combination prepares you to operate at the highest level in both, with the mathematical depth to understand what the algorithms are actually doing and the practical capability to apply them to real problems. At the London School of Economics this three-year, full-time programme goes well beyond technical training, situating mathematical and data science skills within the broader social science context that defines LSE's intellectual identity. You will explore how mathematical methods apply to questions in economics, finance and society, developing the ability to analyse data rigorously and interpret findings critically in contexts where the stakes of getting it wrong are high. The programme covers core mathematical areas, including analysis, algebra and statistics, alongside data science topics such as machine learning, statistical modelling, programming and data visualisation. The degree includes a year abroad, giving you the opportunity to extend your studies internationally. London's position as a global centre of finance and policy research provides a uniquely rich environment for this kind of work. Graduates are exceptionally well equipped for careers in financial services, data analytics, economic consulting, technology companies, government and central banking, management consulting, actuarial science and academic research. The combination of mathematical rigour and data science capability from one of the world's leading social science institutions is highly regarded by employers across sectors. Many graduates also continue to postgraduate study in mathematics, statistics, data science, economics or finance.
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