02/02/2026
Actuarial science is often considered one of the most difficult disciplines to master, combining advanced mathematics, statistics, probability, finance, and risk modelling.
At the Dept of Statistics and Actuarial Science, our actuarial students learn for instance to:
• quantify and model risk
• analyse uncertainty in financial and insurance systems
• design and evaluate risk strategies
• work with real data and complex models
• support long-term decision-making under uncertainty
From insurance and pensions to banking and investment, actuaries help build financially resilient systems.
Not easy, but powerful, respected, and in high demand.
28/01/2026
Many people think a statistics degree is about mathematical proofs, the normal distribution, Excel, and difficult exams. Well, this is true, but it is much more than that. Statistics is about learning how to understand the world through data.
In the Department of Statistics and Actuarial Science, our students develop skills such as:
• analysing complex data and extracting meaningful insights• building statistical/machine learning models• quantifying uncertainty and risk• working with real-world data using programming tools such as R and Python• communicating data-driven conclusions clearly and responsibly
From finance and healthcare to climate science, technology, and policy, statistical thinking is at the heart of modern decision-making.
Statistics is about making sense of uncertainty in a data-driven world.
19/01/2026
Students: Note that all queries concerning registration, admission, or reconsideration should be referred to [email protected].
04/09/2025
This is a great opportunity for students in actuarial science and related fields (i.e., mathematical statistics, statistics, financial risk management, and data science). Make sure to apply before 26 September!