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

You will develop critical thinking and problem solving skills required to underpin your studies as well as beginning to gain knowledge to enable you to start using measurement instruments, understand forces, and fundamental electric circuits. Your ability to work with results including measurement errors as well as report writing skills will also be developed to support you throughout the degree and your professional life.

A solid grasp of algebra and geometry is a fundamental requirement for advanced study in any STEM subject. In this module, you will study foundational algebra and coordinate geometry required for Stage 1 entry into your chosen degree. Topics in algebra include law of indices, surds, and factoring. In geometry you will learn the essential rules of trigonometry, angles, and straight line geometry. You will learn how to reason with logarithms, exponentials and gain skills in solving equations.

A solid grasp of statistics and programming are both essential for modern mathematicians and scientists, in both academic study and the workplace. You'll learn the basics of probability, statistics, and hypothesis testing necessary for advanced study. You'll gain skills in using measures of central tendency and measures of dispersion, learn how to use quartiles and percentiles, and interpret graphical representations of data. You'll gain an understanding of core probability rules, conditional pr

Calculus is a pillar of advanced mathematics with important applications in STEM and Financial subjects. In this module, you will develop your knowledge of mathematical functions to give you a solid foundation with which to grasp calculus and other advanced topics. You will study differential calculus and its applications, followed by integral calculus and differential equations, allowing you to find anti-derivatives and model real-life situations.

Through looking at fundamental ideas of business strategy and different tools of analysis, like break-even calculations, ratio analysis, capital appraisal models, and decision trees, we'll develop our understanding of the basics of business and start building-up our skills in Excel.

In today's globalized world, understanding economic data holds immense importance. This course offers you an opportunity to delve into key global economic issues while honing crucial skills in data analysis. Through a comprehensive curriculum, you will gain insights into economic trends using empirical data, which informs discussions and policy considerations.

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.

This module equips you with comprehensive skills in working with R, Python, Excel, and collaborative platforms like GitHub through a range of hands-on problems and practical assignments. From data analysis to visualisation and interpretation, you'll gain a holistic understanding of how these tools can be harnessed to extract insights from complex datasets. The module has a strong emphasis on collaborative work, providing opportunities for you to engage in group projects that simulate real-world

Linear algebra prepares you for advanced topics in the fields of algebra, multivariable calculus, differential equations, data analysis, and financial mathematics. It is the study of finding solutions to systems of linear equations using matrices, and corresponding geometric objects such as vectors, lines, planes, and linear transformations of Euclidean space. You'll apply powerful techniques of matrix algebra to solve systems of linear equations, learn how to find the eigenvalues and eigenvecto

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. The module is designed to satisfy the standards of subject CB2 of the Institute and Faculty of Actuaries examinations for exemption purposes.

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 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 functions. You'll become proficient in the fundamental techniques of differentiation and integration of single-variable functions. You'll explore practical applications such as optimisation problems, curve sketching and solving simple different

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.

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.