Mathematics with Data Science London School of Economics and Political Science

Overview

The Mathematics with Data Science programme at the London School of Economics and Political Science offers a rigorous academic foundation in quantitative methods and computational analysis. Students explore the intersection of abstract mathematics and practical data applications, focusing on how these disciplines influence economics and global society. This degree is designed to develop the analytical mindset required to solve complex problems using machine learning and statistical theory.

Why Mathematics with Data Science at the London School of Economics and Political Science?

The Department of Mathematics at the university is a premier centre for the study of mathematics within the social sciences. It boasts a vibrant intellectual community where research-led teaching is at the heart of the curriculum. The department’s research was ranked as world-leading or internationally excellent in the most recent Research Excellence Framework, ensuring students learn from experts at the forefront of their fields.

Students benefit from an interdisciplinary environment with strong links to the Departments of Statistics, Economics, and Finance, as well as the Data Science Institute. The university’s central London location and its reputation as a global leader in social sciences provide a unique backdrop for applying mathematical logic to real-world challenges in business and governance.

Tuition Fee Breakdown

• International fee: GBP 35700 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 principles to advanced technical specialisations. Modules may include:

Year 1

• Microeconomics
• Programming for Data Science
• Mathematical Methods
• Elementary Statistical Theory
• Mathematical Proof and Analysis
• Abstract Mathematics and Algorithms

Year 2

• Algorithms and Data Structures
• Further Mathematical Methods
• Real Analysis
• Optimisation Theory
• Probability and Distribution Theory
• Statistical Inference

Year 3

• Graph Theory
• Mathematics of Networks
• Optimisation for Machine Learning
• Mathematical Modelling and Simulation
• Machine Learning
• Artificial Intelligence
• Ethics for Data Science

Careers with Mathematics with Data Science

Graduates from this programme are highly sought after for their quantitative expertise and data analysis skills. Many transition into successful careers within the financial and professional services sectors, specifically in roles related to corporate finance, accountancy, and banking. The technical nature of the degree also prepares students for positions in information technology, consultancy, and digital data analysis.

The university provides extensive career support, including CV workshops, careers fairs, and networking opportunities with top UK employers. Beyond immediate employment, a significant number of graduates choose to pursue advanced research or postgraduate study in specialised fields such as mathematics, economics, or machine learning.