The degree involves studying courses to the value of 12 units over three years, plus LSE100.
You will take courses offered by the Department's of Government, Methodology, Statistics and Mathematics and the Data Science Institute that integrate political science and data science, whether in terms of content, applications to examples, or both. There will be a clear progression in teaching formats, and in the mix of core/elective programme content from year one, to years two and three. Year one aims to build the foundations in both political science and data science through larger introductory lectures and smaller classes and lab; year two is concerned with the politics of data science via a programme-specific core module and smaller elective modules; year three will allow students a lot of choice in electives focusing on learning more advanced data science methods, and applying them to political science questions and political data. You will also engage in collaborative group-based learning and the application of data science to real-world problems in their final capstone project. The civic engagement activities in this project will also foster the development of self-awareness regarding civic responsibility and of communicative skills.
(* denotes a half unit course)
In the first year you will take five compulsory courses. In addition, you will also take LSE100.
Introduction to Political Science
Examines the comparative analysis of a range of political phenomena, including the forms of states and regimes, theories of elections and voting, political ideologies, the causes and consequences of democracy, and the management of the economy.
Introduction to Political Theory
Examines the foundations of Western political thought, followed by modern political theory.
Elementary Statistical Theory
This is a theoretical statistics course which is appropriate whether or not your A level Mathematics course included statistics. It forms the basis for later statistics options.
Programming for Data Science*
Covers the principles of computer programming with a focus on data science applications.
Data for Data Science*
Covers 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.
A half unit, running across Autumn and Winter Term in the first year, LSE100 is compulsory for all LSE undergraduate students. This innovative and interactive course is designed to build your capacity to tackle multidimensional problems as a social scientist through interdisciplinary, research-rich education.
In the second year you will take seven compulsory courses.
Research Design in Political Science
Introduces students to the design, conduct and analysis of research in empirical Political Science spanning different subfields.
Politics and Policy of Data Science*
Examines the key intersections between data science and politics.
The Ethics of Data and AI*
Introduces students to the core philosophy of science, philosophy of mind, and ethics concepts needed to build better technology and reason about the impact of data and AI on the economy, civil society, and government.
Data Science for Social Scientists*
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.
Sample Surveys and Experiments*
Covers sampling methods for social surveys, survey design and estimation, nonresponse and measurement error, and design of experiments and observational studies.
Covers basic concepts of database management systems, including relational and other types of database management systems.
Looks at statistical data analysis in R covering the following topics: simple and multiple linear regression, model diagnostics, detection of outliers, multicollinearity, and introduction to GLMs.
In the third year, you will take three compulsory courses and choose courses from a range of options.
Data Science Applications to Politics Research*
Introduces the latest empirical research using big data in political science and covers the different applications of big data in political science.
Capstone Data Science and Civic Engagement*
Requires groups of students to carry out an applied research project in order to address a practical policy issue or problem relevant to a civic partner organisation.
Government courses to the value of one unit
Focuses on the core machine learning techniques in the context of high-dimensional or large datasets (i.e. big data).
Introduces the basic principles of artificial intelligence systems.
Courses to the value of one and a half units from an approved list
For the most up-to-date list of optional courses please visit the relevant School Calendar page.
Where regulations permit, you may also be able to take a language, literature or linguistics option as part of your degree. Information can be found on the Language Centre webpages.
You must note, however, that while care has been taken to ensure that this information is up-to-date and correct, a change of circumstances since publication may cause the School to change, suspend or withdraw a course or programme of study, or change the fees that apply to it. The School will always notify the affected parties as early as practicably possible and propose any viable and relevant alternative options. Note that the School will neither be liable for information that after publication becomes inaccurate or irrelevant, nor for changing, suspending or withdrawing a course or programme of study due to events outside of its control, which includes but is not limited to a lack of demand for a course or programme of study, industrial action, fire, flood or other environmental or physical damage to premises.
You must also note that places are limited on some courses and/or subject to specific entry requirements. The School cannot therefore guarantee you a place. Please note that changes to programmes and courses can sometimes occur after you have accepted your offer of a place. These changes are normally made in light of developments in the discipline or path-breaking research, or on the basis of student feedback. Changes can take the form of altered course content, teaching formats or assessment modes. Any such changes are intended to enhance the student learning experience. You should visit the School’s Calendar, or contact the relevant academic department, for information on the availability and/or content of courses and programmes of study. Certain substantive changes will be listed on the updated undergraduate course and programme information page.