BSc (Hons) Actuarial Science with a Year in Industry Bachelor's degree at the University of Kent

You'll learn the core methods and principles of probability theory and statistics, and gain skills in applying these methods to analyse sample data and draw inferences or generalisations. You'll learn how to estimate an unknown parameter's value, how to construct a confidence interval, and how to do hypothesis testing. The statistical computing package R is used throughout the module to support your learning and illustrate the methods.

R, Python, Excel, and collaborative platforms like GitHub are essential tools for academic study and professional advancement. This module equips you with comprehensive skills in working with these platforms through a range of hands-on problems and practical assignments. As you progress through the module, you'll delve into the intricacies of R, Python, and Excel, mastering their functionalities through real-world applications. From data analysis to visualisation and interpretation, you'll gain

Linear algebra is a core subject in mathematics. It provides the algebraic foundation for advanced mathematics and has endless practical applications in industry and science, ranging from internet technologies to theoretical physics. This module in linear algebra prepares you for advanced topics in the fields of algebra, multivariable calculus, differential equations, data analysis, and financial mathematics. Linear algebra is the study of finding solutions to systems of linear equations using m

Business Economics explores the constantly evolving economic world within which actuaries work, providing context and developing economic insights that can inform real-world business decisions. You'll be equipped with the knowledge and tools needed to understand the workings of competitive markets, and the interaction of consumers and suppliers, using a variety of models and examples to investigate decision-making in the economy. The practical roles of money, capital and labour, and the involvem

You'll learn about the mathematics behind the design and operation of popular financial investments. This enables you to gain an understanding of the key principles of working with interest rates, and of how these can be used to price and value investments such as loans, shares, bonds and property. You will also receive a practical introduction to financial modelling and learn how models can be used to solve financial problems. This includes using the application of the above ideas on real data

Calculus serves as the mathematical foundation for many fields, including physics, engineering, economics, computer science, and statistics. It also plays a crucial role in understanding and solving problems in biology, chemistry, and medicine. This module delves deep into the fundamental concepts of differentiation and integration. You'll explore the properties of core functions including polynomials, exponentials and logarithms, trigonometric functions and their inverses, as well as hyperbolic

Explanatory and predictive modelling is essential to data-driven decision-making. Throughout this module, you'll learn about regression, the cornerstone of versatile statistical analysis and master diagnostics, model specification, selection, and interpretation. Through hands-on activities and real data analysis, you'll gain the skills to extract actionable insights and forecast future trends confidently. The module is designed to equip you with the required tools to navigate complex datasets ac

Optimisation techniques play an important role in practically all areas of data science, including data analysis and machine learning. An understanding of the core principles of optimisation algorithms and their properties is essential for all practitioners in this field. You'll gain expertise in the theory and applications of optimisation techniques and algorithms, focusing on the methods most relevant to data science. You'll master how to optimise solutions, analyse and improve the performance

Mathematical statistics provides the theoretical framework for statistical techniques. Understanding these mathematical underpinnings allows statisticians to develop and justify various statistical methods, ensuring their validity and reliability. Mathematical statistics enables practitioners to extract valuable insights from data, make informed decisions, and drive progress in various fields of knowledge and application. You'll learn advanced techniques in probability and statistics, including

How can we use mathematics to design common life insurance products? How can we calculate the financial impact of uncertain future events? In this module, you'll learn about the key principles of working with mortality rates and interest rates. This will allow you to value cash flows which are contingent on mortality and/or survival, enabling you to price and value products such as whole-life, temporary and endowment assurances and whole-life and temporary annuities. You'll also further develop

From start-ups to established multinationals, businesses need finance at various stages, whether it's to fund growth, or just to survive. In this module, you'll explore and apply the principles of corporate finance. You'll consider a wide variety of sources of finance, from traditional to more contemporary means, and examine the process of selecting an appropriate approach depending on the circumstances. You'll also consider the methods businesses use to manage financial risk, and look at how fi