Statistics (Research) London School of Economics and Political Science

Overview

The Statistics (Research) M.Sc. at the London School of Economics and Political Science is designed to foster a deep interest in theoretical and applied statistics while preparing students for careers as professional statisticians. This comprehensive programme allows those with a passion for mathematics to apply their expertise to real-world data analysis and complex statistical modelling.

Students learn to critically interpret data and build sophisticated models using cutting-edge programming tools and software packages. The curriculum provides a robust foundation in probability and statistical principles, which serves as a gateway to advanced topics in computational methods and machine learning. This research-focused stream is specifically structured to include a substantial independent project.

Why Statistics (Research) at the 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 was ranked as world-leading or internationally excellent in the most recent Research Excellence Framework, ensuring that teaching is informed by the latest academic breakthroughs.

Students benefit from the department's close links with the Data Science Institute, which promotes interdisciplinary study across social, economic, and political contexts. The academic community is vibrant and supportive, featuring staff who have made pioneering contributions to the field. Furthermore, the university has been recognised as University of the Year and consistently ranks first in London.

Tuition Fee Breakdown

• International fee: GBP 28900 per year
• National fee: GBP 18300 per year

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

Syllabus

The curriculum consists of a compulsory core unit, a significant research component, and several optional units chosen from various departments. Modules may include:

• Statistical Inference: Principles and Methods
• Dissertation
• Statistical Modelling
• Computational Methods
• Statistical Computing
• Probability Theory
• Machine Learning
• Data Science
• Econometrics

Careers with Statistics (Research)

Graduates from this programme enjoy exceptional career prospects across both the private and public sectors. Many alumni secure prestigious roles within consulting firms, international banks, and government agencies, while others choose to progress into doctoral research or higher academic degrees. The analytical skills developed are highly sought after in the modern global economy.

Primary employment sectors for graduates include financial and professional services, accounting, auditing, and digital technology. Many former students also find success in education and scientific research roles. The university provides extensive career support, including CV workshops and networking events with top UK employers, to help students transition into professional employment.