Data Science London School of Economics and Political Science

Overview

The Data Science programme at the London School of Economics and Political Science provides a rigorous foundation in the mathematical and statistical aspects of modern data analysis. Students explore the intersection of machine learning and computational techniques while considering their profound impact on economics and global society. This degree is designed to equip graduates with the technical expertise required to solve complex real-world problems through data-driven insights.

The curriculum emphasises a strong mathematical focus, teaching you how to extract meaningful patterns from data and report findings with precision. Throughout your studies, you will build a comprehensive understanding of classical analytics, artificial intelligence, and statistical modelling.

Why Data Science at London School of Economics and Political Science?

The Department of Statistics at the university is one of the oldest and most distinguished in the United Kingdom, boasting an international reputation for developing statistical methodology. Research within the department is ranked as world-leading, ensuring that the teaching curriculum is informed by the latest advancements in the field. Students benefit from close links with the Data Science Institute, an interdisciplinary centre that fosters the study of data within social and political contexts.

Choosing this institution means joining a vibrant and supportive community of scholars. The university has been recognised as University of the Year and consistently ranks first in London, providing an elite environment for academic growth. You will be taught by experts whose research strengths in time series, social statistics, and statistical learning directly enhance the undergraduate learning experience.

Tuition Fee Breakdown

• International fee: GBP 32100 per year
• National fee: GBP 9535 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is structured to move from foundational mathematical methods to advanced machine learning applications. Modules may include:

• Elementary Statistical Theory
• Mathematical Methods
• Programming for Data Science
• Managing Visualising Data
• Probability and Distribution Theory
• Applied Regression
• Algorithms and Data Structures
• Machine Learning
• Artificial Intelligence

Careers with Data Science

Graduates are highly sought after in both the private and public sectors due to their advanced quantitative and analytical capabilities. The programme prepares individuals for successful careers in diverse industries such as banking, financial services, healthcare, and government. Many alumni also find opportunities in insurance, accounting, and digital technology consultancy.

The university provides extensive career support, including CV workshops, careers fairs, and networking opportunities with top UK employers. Graduates often progress into roles such as data analysts, financial consultants, or researchers. The strong emphasis on practical skills ensures that students are ready to enter professional and managerial positions immediately upon completion of their degree.