Data Analytics and Actuarial Science (Hons) City St George's, University of London

Overview

The Data Analytics and Actuarial Science (Hons) at City St George's, University of London provides a rigorous academic foundation for students aiming to excel in the evolving fields of finance and data technology. This programme integrates traditional actuarial techniques with contemporary data science practices to address complex global challenges.

Students benefit from a curriculum designed to bridge the gap between mathematical theory and practical application. By focusing on both quantitative analysis and strategic decision-making, the university ensures that graduates are equipped with the technical proficiency required by top-tier employers in the insurance and technology sectors.

The learning environment fosters critical thinking and technical expertise, utilising industry-standard software and methodologies.

Why Data Analytics and Actuarial Science (Hons) at City St George's, University of London?

Choosing this programme means joining an institution renowned for its strong links to the City of London’s financial district. The university provides access to specialised facilities and expert faculty members who are leaders in the fields of risk management and statistical computation.

The curriculum is specifically tailored to meet the demands of modern industry, offering a unique blend of disciplines that are often taught in isolation. This interdisciplinary approach provides a significant advantage, allowing students to understand the broader context of financial data while mastering specific analytical tools.

Tuition Fee Breakdown

• International fee: GBP 27000 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 provide a deep understanding of both financial mathematics and computational analysis. Modules may include:

• Mathematics
• Probability and Statistics
• Finance and Financial Reporting
• Financial Mathematics
• Actuarial Mathematics
• Data Analytics
• Stochastic Modelling
• Machine Learning
• Statistical Methods

Careers with Data Analytics and Actuarial Science (Hons)

Graduates of this programme are well-positioned for diverse roles within the global financial services industry. Many pursue careers as trainee actuaries, data scientists, or risk analysts within major insurance firms, investment banks, and consultancy practices.

The combination of actuarial expertise and data analytics skills opens doors to emerging sectors such as fintech and insurtech. Employers value the ability of graduates to interpret complex datasets and provide actionable insights that drive business growth and mitigate financial risks.

Beyond traditional actuarial paths, the analytical rigour of the degree prepares students for roles in government agencies, research institutions, and any organisation that requires high-level quantitative problem-solving. The degree serves as a robust platform for professional qualification and long-term career progression.