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Data Science at LSE

As businesses, governments and academic institutions increasingly rely on data-driven decision-making, one of the main challenges they face is addressing the significant skills gap that exists in the field of data science.

The London School of Economics and Political Science runs data science degree programmes, and is working to equip students, researchers and executives with the skills they need to tackle business, science and social questions from a data perspective through the understanding of extracting useful information and knowledge from data.

New DSI undergraduate modules for 2021/22

The LSE Data Science Institute forms a nexus for teaching and learning in data science at LSE. From 2021/22 students can select new DSI undergraduate modules using LSE for You.

DS101 – Fundamentals of Data Science

This course is designed to introduce students to data science and its practice: how it works and how it can produce insights from social, political, and economic data.

The course will run in LT only. More information is available via the course guide or Moodle page.

DS105 – Data for Data Science

This course will cover the fundamentals of data, with an aim to understanding how data is generated, how it is collected, how it must be transformed for use and storage, how it is stored, and the ways it can be retrieved and communicated.

The course will run in both MT and LT. More information is available via the course guide or Moodle page.

Watch Dr Julio Amador Diaz Lopez explain the content of DS105 here.

DS202 – Data Science for Social Scientists

This module extends the foundation of probability and statistics with an introduction to the most important concepts in data science and applied machine learning, with social science examples.

The course will run in MT only. More information is available via the course guide or Moodle page.

Watch Dr Julio Amador Diaz Lopez explain the content of DS202 here.

Please send queries about these courses to the Data Science Institute.

BSc Data Science

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The BSc in Data Science aims to provide a programme of study that combines data science, machine learning, statistics and mathematics. The programme uses a rigorous approach, has a mathematical focus and involves applying data science to the social sciences. The BSc Data Science will prepare students for further study, or for professional and managerial careers, particularly in areas requiring the application of quantitative skills. The programme also allows students to choose to study a specialist area according to your developing interests and career plans. Students will gain practical skills, theoretical knowledge and contextual information that will be excellent preparation quantitative careers in a range of industries. 

Please send queries about this programme to the Department of Statistics.

MSc Data Science


The MSc in Data Science offers training in data science methods, with a focus on statistical perspectives. The programme offers students a solid theoretical foundation of statistical methods, as well as machine learning and data mining methods, and enables them to gain knowledge and hands-on experience in using modern computational tools and platforms that process small and large scale data. Students can choose to specialise in advanced topics in statistics and computing, and acquire analytical and quantitative skills in special application domains, such as finance and risk management. Capstone projects provide the opportunity of working on a real-world data science problem in collaboration with a corporate partner. 

Please send queries about this programme to the Department of Statistics.

MSc Applied Social Data Science

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The MSc in Applied Social Data Science offers students with a background in social sciences the chance to use data to answer social, economic or political questions using the tools of data analysis, data science and computation. The programme offers a series of courses in project-based programming, applied quantitative methods, and research principles in data science, designed for students without a formal computing or statistical background. Students will also have the opportunity to choose electives from other departments, reflecting their interests and backgrounds in a substantive research area. Capstone projects provide students with the opportunity to apply the technical skills they have learned to a project of their own design.

Please send queries about this programme to the Department of Methodology.


MSc Operations Research and Analytics

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The MSc in Operations Research and Analytics provides mathematically oriented students with the skills needed to apply mathematical methods to real-world problems faced by companies, governments and other institutions. The programme delivers practical training in modelling, along with the theory of mathematical optimisation, statistics, dynamic programming and other fundamental techniques, with specialised options including combinatorial optimisation, integer programming, and algorithmic data mining. Capstone projects offer students the opportunity to undertake a consultancy role in a host organisation, and provide a solution with tangible benefits to a problem faced by the organisation.

Please send queries about this programme to the Department of Mathematics.

MSc Health Data Science


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The MSc in Health Data Science is a programme designed to equip future health data analysts with the skills they need to interpret, analyse, assess, and evaluate health interventions, services, programmes, and policies. Students will be taught to use a range of statistical methods relevant to the context of health, including machine learning, data mining, artificial intelligence, and deep learning techniques. The specialised courses in the programme will also enable students to apply advanced methods of data science and statistics to investigate real world health policy questions.

Please send queries about this programme to the Department of Health Policy and the Department of Statistics.


MSc Geographic Data Science

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The MSc in Geographic Data Science is aimed at those who wish to develop their skills in the analysis of quantitative data to answer research questions on spatial and geographic social science topics. The programme will suit those interested in research for academic or policy purposes, have a background in economics or other quantitative social science and are interested in developing technical skills in analysis of spatial data. Skills in obtaining, managing, visualising and analysing data (data science) are in high demand and the programme combines a training in the application of these methods and the use of geographical information systems (GIS), with the chance to study topics in urban economics, economic geography, environmental economics or planning. The culmination of the programme is a dissertation in which you investigate your own research topic using the data science and GIS methods you have studied on the course.

Please send queries about this programme to the Department of Geography and Environment

LSE Online Courses

In addition to in-person study, LSE makes world-leading teaching and research accessible to a global audience through a comprehensive portfolio of online programmes.

These programmes equip students with the knowledge and skills to advance in an ever-changing world.

Online Certificate Courses take place over six to ten weeks and provide the ultimate flexibility for professionals.

Online Masterclasses offer an immersive learning experience of specialised subjects and take place over three weeks.

Online Undergraduate Degrees open the door to world-class, transformative education for learners globally. Earn a University of London qualification with academic direction by LSE from anywhere in the world.

Find the full range of online study opportunities in data here.