Actuarial Science

Actuarial Science with a Foundation Year - BSc (Hons)

UCAS code N325

This is an archived page and for reference purposes only


Actuaries evaluate and manage financial risks, particularly in the financial services industry. If you are good at mathematics, enjoy problem-solving and are interested in financial matters, you should enjoy studying actuarial science. This programme with a foundation year offers you a route into actuarial science if you don't currently meet the entry requirements for the three-year degree course.


Kent’s specialist degree in Actuarial Science is recognised by the actuarial profession and is taught by professionally qualified and experienced actuaries, giving you the necessary foundation for a rewarding and stimulating career. You study in a brand-new building, providing a modern study environment.

Our degree programme

The BSc (Hons) Actuarial Science at Kent is one of the few programmes available to achieve full accreditation from the UK actuarial profession and provides the first step towards qualifying as an actuary.

As well as developing a core understanding of mathematical and financial concepts and statistical methods, you can gain exemption from eight of the Core Technical subjects (CT1 to CT8) of the professional examinations of the Institute and Faculty of Actuaries.

The programme also provides a good foundation for the later Core Technical subjects. By obtaining the full set of exemptions available during your degree, you could considerably reduce the time it takes you to qualify as an actuary.

In addition to lectures and examples classes, you gain practical experience of working with PROPHET, the market-leading actuarial software package used by commercial companies worldwide for profit testing, valuation and model office work. There are also regular supervised classes, where you can get help and advice on the way you approach problems.

Year in industry

You have the option to take this programme with a year in industry. For more details, see Actuarial Science with a Year in Industry.

Foundation year

This course is designed for students who wish to study Actuarial Science but are applying from a country where secondary education does not reach the level required for direct entry to UK degrees. It is also suitable for those who do not have qualifications in appropriate subjects, or whose grades are not high enough.

Extra activities

Kent is home to the Invicta Actuarial Society. Run by students and staff, it encourages valuable contact with industry professionals. In previous years the Society has organised:

  • open lectures
  • discussions
  • socials and networking events.

You may want to join Kent Maths Society, which is run by students and holds talks, workshops and social activities.

The School of Mathematics, Statistics and Actuarial Science puts on regular events that you are welcome to attend. These may include:

  • seminars and workshops
  • employability events. 

Independent rankings

Mathematics at Kent was ranked 19th for course satisfaction in The Guardian University Guide 2017

For graduate prospects, Mathematics was ranked 19th in The Complete University Guide 2017. Of Mathematics and Statistics students who graduated from Kent in 2015, 92% were in work or further study within six months (DLHE).

Course structure

The following modules are indicative of those offered on this programme. This listing is based on the current curriculum and may change year to year in response to new curriculum developments and innovation.  

On most programmes, you study a combination of compulsory and optional modules. You may also be able to take ‘wild’ modules from other programmes so you can customise your programme and explore other subjects that interest you.

Foundation year

If your qualifications are not sufficient, for whatever reason, for direct entry onto a degree programme, you can apply for this programme.

If your first language is not English, the Foundation Year offers additional classes taught by staff who are specialists in teaching English as a foreign language.

Modules may include Credits

This module will focus on the topics which are fundamental across mathematics and the sciences. We will learn about the properties of many functions such as straight lines, quadratics, circles, exponentials, logarithms and the trigonometric functions. The focus of this module is on applied problem solving in many real-life situations, as well as some coverage of the rigorous theory behind many of these ideas. The material is delivered through lectures and examples classes, so that students have many different ways to learn. Many harder, extra-curricular examples are provided for keen students.

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Statistical techniques are a fundamental tool in being able to measure, analyse and communicate information about sets of data. Even the most basic methods can be indispensable in applied sciences and other quantitative areas and in this module we demonstrate why this is the case. In addition to learning about the common methods used in Statistics and how these can be applied meaningfully to other disciplines, we cover theoretical properties of Statistics.

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a) Functions: Functions, inverse functions and composite functions. Domain and range.

Elementary functions including the exponential function, the logarithm and natural logarithm functions and ax for positive real numbers a. Basic introduction to limits and continuity of a function, without epsilon-delta proofs.

b) The derivative: The derivative as the gradient of the tangent to the graph; interpretation of the derivative as a rate of change. The formal definition of the derivative and the calculation of simple examples from first principles. Elementary properties of the derivative, including the product rule, quotient rule and the chain rule; differentiation of inverse functions; calculating derivatives of familiar functions, including trigonometric, exponential and logarithmic functions. Applications of the derivative, including optimisation, gradients, tangents and normal. Parametric and implicit differentiation of simple functions. Taylor series.

c) Graphs: Curve sketching including maxima, minima, stationary points, points of inflection, vertical and horizontal asymptotes and simple transformations on graphs of functions. Additional material may include parametric curves and use of Maple to plot functions.

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a) Vectors: Vectors in two and three dimensions. Magnitude and direction. Algebraic operations involving vectors and their geometrical interpretations including the scalar product between two vectors. Use vectors to solve simple problems in pure mathematics and applications.

b) Kinematics: Fundamental and derived quantities and units in the S.I. system. Position, displacement, distance travelled, velocity, speed, acceleration. Constant acceleration for motion in one and two dimensions. Motion under gravity in a vertical plane. Projectiles. Use of calculus for motion in a straight line.

c) Forces and Newton's Laws: Newton's laws of motion applied to simple models of single and coupled bodies.

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This module introduces the ideas of integration and numerical methods.

a) Integration: Integration as a limit of a sum and graphical principles of integration, derivatives, anti-derivatives and the Fundamental Theorem of Calculus (without proof), definite and indefinite integrals, integration of simple functions.

b) Methods of integration: integration by parts, integration by change of variables and by substitution, integration by partial fractions.

c) Solving first order differential equations: separable and linear first order differential equations. Construction of differential equations in context, applications of differential equations and interpretation of solutions of differential equations.

d) Maple: differentiation and integration, curve sketching, polygon plots, summations.

e) Numerical integration: mid-ordinate rule, trapezium rule, Simpson's rule, use of Maple in estimating definite integrals.

Additional material may include root finding using iterative methods, parametric integration, surfaces and volumes of revolution.

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Students will be introduced to key mathematical skills, necessary in studying for a mathematics degree: use of the University Library and other sources to support their learning, present an argument in oral or written form, learn about staff in the School and beyond, etc. In particular, students will study various techniques of proof (by deduction, by exhaustion, by contradiction, etc.). These techniques will be illustrated through examples chosen from various areas of mathematics (and in particular co-requisite modules).

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Through this module, students will develop the transferable linguistic and academic skills necessary to successfully complete other modules on their programme and acquire the specific language skills that they will require when entering Maths Stage 1 programmes. The programme of study focuses on writing and speaking skills, enhancing grammar and academic vocabulary through classroom, homework and assessed activities. Writing skills will be used to write a technical report, interpret data and describe processes. Spoken skills will be used in presentations and seminars.

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Since Plato's Dialogues, it has been part of philosophical enquiry to consider philosophical questions using logic and common sense alone. This module aims to train students to continue in that tradition. In the first part students will be introduced to basic themes in introductory logic and critical thinking. In the second part students will be presented with a problem each week in the form of a short argument, question, or philosophical puzzle and will be asked to think about it without consulting the literature. The problem, and students’ responses to it, will then form the basis of a structured discussion.

By the end of the module, students (a) will have acquired a basic logical vocabulary and techniques for the evaluation of arguments; (b) will have practised applying these techniques to selected philosophical topics; and (c) will have acquired the ability to look at new claims or problems and to apply their newly acquired argumentative and critical skills in order to generate philosophical discussions of them.It will be taught through a combination of lectures and seminars in the first half of the term, and seminars only in the second half of the term.

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Stage 1

Modules may include Credits

Increasingly data are collected to inform future decisions, varying from which websites people access on a regular basis to how patients respond to new drugs, to how the stock market responds to global events, or to how animals move around their local habitat. Therefore, most professionals will need to extract useful information from data and to manage and present data in their working lives.  This module explores some of the basic concepts of statistics, from data summarisation to the main methods of statistical inference. The techniques that are discussed can be used in their own right for simple statistical analyses, but serve as an important foundation for later, more advanced, modules. The statistical computing package R is used throughout the module for data analysis. The syllabus includes: an introduction to R and investigating data sets, sampling and sampling distributions, point and interval estimation, hypothesis testing, association between variables.

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The aim of this module is to introduce students to the core economic principles and how these could be used in a business environment to help decision making and behaviour. The coverage is aimed at being sufficient to enable students to gain exemptions from the Actuarial professional examinations, whilst also giving a coherent coverage of the material suitable for other degree programmes, where understanding economic concepts and principles is beneficial. The syllabus includes: the working of competitive markets, consumer demand and behaviour, product selection, marketing and advertising strategies, costs of production, production function, revenue and profit, profit maximisation under perfect competition and monopoly, imperfect competition, business strategy, the objectives of strategic management, firms' growth strategy, pricing strategies, government intervention, international trade, balance of payment and exchange rates, the role of money and interest rates in the economy, the level of business activity, unemployment, inflation and macroeconomic policy.

Marks on this module can count towards exemption from the professional examination CT7 of the Institute and Faculty of Actuaries. Please see for further details.

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The aim of this module is to provide a grounding in financial mathematics and its simple applications. The idea of interest, which may be regarded as a price for the use of money, is fundamental to all long-term financial contracts. The module deals with accumulation of past payments and the discounting of future payments at fixed and varying rates of interest; it is fundamental to the financial aspects of Actuarial Science. The syllabus will cover: Generalised cashflow models, the time value of money, real and money interest rates, discounting and accumulating, compound interest functions, equations of value, loan schedules, project appraisal, investments, elementary compound interest problems, arbitrage free pricing and the pricing and valuation of forward contracts, the term structure of interest rates, stochastic interest rate models.

This is a dynamic syllabus, changing regularly to reflect current practice. (See

Marks on this module can count towards exemption from the professional examination CT1 of the Institute and Faculty of Actuaries. Please see for further details.

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This module serves as an introduction to algebraic methods and linear algebra methods. These are central in modern mathematics, having found applications in many other sciences and also in our everyday life.

Topics covered will include:

Basic set theory: introduction to sets, operations on sets (union, intersection, Cartesian product, complement), basic counting (inclusion-exclusion for 2 sets).

Functions and Relations: injective, surjective, bijective functions. Permutations, sign of a permutation. The Pigeonhole Principle. Cardinality of sets. Binomial coefficients, Binomial Theorem. Equivalence relations and partitions.

Systems of linear equations and Gaussian elimination: operations on systems of equations, echelon form, rank, consistency, homogeneous and non-homogeneous systems.

Matrices: operations, invertible matrices, trace, transpose.

Determinants: definition, properties and criterion for a matrix to be invertible.

Vector spaces: linearly independent and spanning sets, bases, dimension, subspaces.

Linear Transformations: Definition. Matrix of a Linear Transformation. Change of Basis.

Diagonalisation: Eigenvalues and Eigenvectors, invariant spaces, sufficient conditions.

Bilinear forms: inner products, norms, Cauchy-Schwarz inequality.

Orthonormal systems: the Gram-Schmidt process.

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This module introduces widely-used mathematical methods for functions of a single variable. The emphasis is on the practical use of these methods; key theorems are stated but not proved at this stage. Tutorials and Maple worksheets will be used to support taught material.

Complex numbers: Complex arithmetic, the complex conjugate, the Argand diagram, de Moivre's Theorem, modulus-argument form; elementary functions

Polynomials: Fundamental Theorem of Algebra (statement only), roots, factorization, rational functions, partial fractions

Single variable calculus: Differentiation, including product and chain rules; Fundamental Theorem of Calculus (statement only), elementary integrals, change of variables, integration by parts, differentiation of integrals with variable limits

Scalar ordinary differential equations (ODEs): definition; methods for first-order ODEs; principle of superposition for linear ODEs; particular integrals; second-order linear ODEs with constant coefficients; initial-value problems

Curve sketching: graphs of elementary functions, maxima, minima and points of inflection, asymptotes

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This module introduces widely-used mathematical methods for vectors and functions of two or more variables. The emphasis is on the practical use of these methods; key theorems are stated but not proved at this stage. Tutorials and Maple worksheets will be used to support taught material.

Vectors: Cartesian coordinates; vector algebra; scalar, vector and triple products (and geometric interpretation); straight lines and planes expressed as vector equations; parametrized curves; differentiation of vector-valued functions of a scalar variable; tangent vectors; vector fields (with everyday examples)

Partial differentiation: Functions of two variables; partial differentiation (including the chain rule and change of variables); maxima, minima and saddle points; Lagrange multipliers

Integration in two dimensions: Double integrals in Cartesian coordinates; plane polar coordinates; change of variables for double integrals; line integrals; Green's theorem (statement – justification on rectangular domains only)

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Introduction to Probability. Concepts of events and sample space. Set theoretic description of probability, axioms of probability, interpretations of probability (objective and subjective probability).

Theory for unstructured sample spaces. Addition law for mutually exclusive events. Conditional probability. Independence. Law of total probability. Bayes' theorem. Permutations and combinations. Inclusion-Exclusion formula.

Discrete random variables. Concept of random variable (r.v.) and their distribution. Discrete r.v.: Probability function (p.f.). (Cumulative) distribution function (c.d.f.). Mean and variance of a discrete r.v. Examples: Binomial, Poisson, Geometric.

Continuous random variables. Probability density function; mean and variance; exponential, uniform and normal distributions; normal approximations: standardisation of the normal and use of tables. Transformation of a single r.v.

Joint distributions. Discrete r.v.'s; independent random variables; expectation and its application.

Generating functions. Idea of generating functions. Probability generating functions (pgfs) and moment generating functions (mgfs). Finding moments from pgfs and mgfs. Sums of independent random variables.

Laws of Large Numbers. Weak law of large numbers. Central Limit Theorem.

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Stage 2

Modules may include Credits

This module introduces the concept of survival models, which model future survival time as a random variable. The concept is combined with the financial mathematics learned in module MA315, making it possible to analyse simple contracts which depend on survival time, such as life insurance and annuities. The syllabus will cover: introduction to survival models including actuarial notation, allowance for temporary initial selection and an overview of the typical pattern of human mortality; formulae for the means and variances of the present values of payments under life insurance and annuity contracts assuming constant deterministic interest; practical methods for evaluating the formulae; description and calculation of net premiums, net premium provisions and mortality profit or loss under simple life insurance and annuity contracts; and extension of the basic concepts to straightforward contracts involving two lives.

Marks on this module can count towards examption from the professional examination CT5 of the Institute and Faculty of Actuaries. Please see for further details.

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This module covers aspects of Statistics which are particularly relevant to insurance. Some topics (such as risk theory and credibility theory) have been developed specifically for actuarial use. Other areas (such as Bayesian Statistics) have been developed in other contexts but now find applications in actuarial fields. Stochastic processes of events such as accidents, together with the financial flow of their payouts underpin much of the work. Since the earliest games of chance, the probability of ruin has been a topic of interest. Outline Syllabus includes: Decision Theory; Bayesian Statistics; Loss Distributions; Reinsurance; Credibility Theory; Empirical Bayes Credibility theory; Risk Models; Ruin Theory; Generalised Linear Models; Run-off Triangles.

Marks on this module can count towards exemption from the professional examination CT6 of the Institute and Faculty of Actuaries. Please see for further details.

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A time series is a collection of observations made sequentially in time. Examples occur in a variety of fields, ranging from economics to engineering, and methods of analysing time series constitute an important area of statistics. This module focuses initially on various time series models, including some recent developments, and provides modern statistical tools for their analysis. The second part of the module covers extensively simulation methods. These methods are becoming increasingly important tools as simulation models can be easily designed and run on modern PCs. Various practical examples are considered to help students tackle the analysis of real data.The syllabus includes: Difference equations, Stationary Time Series: ARMA process. Nonstationary Processes: ARIMA Model Building and Testing: Estimation, Box Jenkins, Criteria for choosing between models, Diagnostic tests.Forecasting: Box-Jenkins, Prediction bounds. Testing for Trends and Unit Roots: Dickey-Fuller, ADF, Structural change, Trend-stationarity vs difference stationarity. Seasonality and Volatility: ARCH, GARCH, ML estimation. Multiequation Time Series Models: Spectral Analysis. Generation of pseudo – random numbers, simulation methods: inverse transform and acceptance-rejection, design issues and sensitivity analysis.

Marks on this module can count towards exemption from the professional examination CT6 of the Institute and Faculty of Actuaries. Please see for further details.

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This module introduces and explores a range of topics relating to corporate finance which are fundamental to understanding why and how companies raise money to start a business or expand an existing one. The module covers the different ways that the money can be raised, for example from a bank or through a stocks and shares market, and the interest rate or investment return that an investor will expect to receive from a company in order to provide the money required. This is a very practical module to the extent that it will help students develop business awareness in the field of company finance. Reference will often be made to actual happenings in the financial markets in support of the material covered.

Marks on this module can count towards examption from the professional examination CT2 of the Institute and Faculty of Actuaries. Please see for further details.

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This module is a pre-requisite for many of the other statistics modules at Stages 2, 3 and 4, but it can equally well be studied as a module in its own right, extending the ideas of probability and statistics met at Stage 1 and providing practice with the mathematical skills learned in MA321. Marks on this module can count towards exemption from the professional examination CT3 of the Institute and Faculty of Actuaries. It starts by revising the idea of a probability distribution for one or more random variables, and then looks at different methods to derive the distribution of a function of random variables. These techniques are then used to prove some of the results underpinning the hypothesis test and confidence interval calculations met at Stage 1, such as for the t-test or the F-test. With these tools to hand, the module moves on to look at how to fit models (probability distributions) to sets of data. A standard technique, known as the method of maximum likelihood, is introduced, which is then used to fit the model to the data to obtain point estimates of the model parameters and to construct hypothesis tests and confidence intervals for these parameters.  Linear regression and analysis of variance models are introduced, which aim to describe the relationship between a random variable of interest and one or more covariates,  for example the relationship between income and education level or gender. Outline Syllabus includes: Joint, marginal and conditional distributions of discrete and continuous random variables; Generating functions; Transformations of random variables; Poisson processes; Sampling distributions; Point and interval estimation; Properties of estimators; Maximum likelihood; Hypothesis testing; Neyman-Pearson lemma; Maximum likelihood ratio test; Simple linear regression: ANOVA.

Marks on this module can count towards exemption from the professional examination CT3 of the Institute and Faculty of Actuaries. Please see for further details.

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Year in industry

Students on this course can spend a year working in industry between Stages 2 and 3. We can offer help and advice in finding a placement. This greatly enhances your CV and gives you the opportunity to put your academic skills into practice. It also gives you an idea of your career options. Recent placements have included IBM, management consultancies, government departments, actuarial firms and banks.

Stage 3

Modules may include Credits

Life Contingencies is concerned with the probabilities of life and death. Its practical application requires a considerable sophistication in mathematical techniques to ensure the soundness of many of the biggest financial institutions – life assurance companies and pension funds. This module introduces the actuarial mathematics which is needed for this. The aim of this module (together with MA516 – Contingencies 1) is to provide a grounding in the mathematical techniques which can be used to model and value cash flows dependent on death, survival, or other uncertain risks and cover the application of these techniques to calculate premium rates for annuities and assurances on one or more lives and the reserves that should be held for these contracts. Outline syllabus includes variable benefits and with profits contracts; gross premiums and reserves for fixed and variable benefit contracts; competing risks; pension funds; profit testing and reserves; mortality, selection and standardisation. This module together with module MA516 cover the entire syllabus of the UK Actuarial Profession's subject CT5 – Contingencies.

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An investor needs an assortment of tools in their toolkit to weigh up risk and return in alternative investment opportunities. This module introduces various measures of investment risk and optimal investment strategies using modern portfolio theory. Pricing of assets using the classical capital asset pricing model and arbitrage pricing theory are discussed. The theory of Brownian motion is used to analyse the behaviour of the lognormal model of asset prices, which is then compared with the auto-regressive Wilkie model of economic variables and asset prices. Principles of utility theory, behavioural finance and efficient market hypothesis provide the context from an investor's perspective. Outline syllabus includes: Measures of investment risk, Mean-Variance Portfolio Theory, Capital Asset Pricing Model, Arbitrage Pricing Theory, Brownian Motion, Lognormal Model, Wilkie Model, Utility Theory and Stochastic Dominance, Efficient Market Hypothesis and Behavioural Finance.

Marks on this module can count towards exemption from the professional examination CT8 of the Institute and Faculty of Actuaries. Please see for further details.

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This module introduces the main features of basic financial derivative contracts and develops pricing techniques. Principle of no-arbitrage, or absence of risk-free arbitrage opportunities, is applied to determine prices of derivative contracts, within the framework of binomial tree and geometric Brownian motion models. The interplay between pricing and hedging strategies, along with risk management principles, are emphasized to explain the mechanisms behind derivative instruments. Models of interest rate and credit risk are also discussed in this context. Outline syllabus includes: An introduction to derivatives, binomial tree model, Black-Scholes option pricing formula, Greeks and derivative risk management, interest rate models, credit risk models.

Marks on this module can count towards exemption from the professional examination CT8 of the Institute and Faculty of Actuaries. Please see for further details.

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This module is split into two parts: 1. An introduction to the practical experience of working with the financial software package, PROPHET, which is used by commercial companies worldwide for profit testing, valuation and model office work. The syllabus includes: overview of the uses and applications of PROPHET, introduction on how to use the software, setting up and performing a profit test for a product , analysing and checking the cash flow results obtained for reasonableness, using the edit facility on input files, performing sensitivity tests , creating a new product using an empty workspace by selecting the appropriate indicators and variables for that product and setting up the various input files, debugging errors in the setting up of the new product, performing a profit test for the new product and analysing the results. 2. An introduction to financial modelling techniques on spreadsheets which will focus on documenting the process of model design and communicating the model's results. The module enables students to prepare, analyse and summarise data, develop simple financial and actuarial spreadsheet models to solve financial and actuarial problems, and apply, interpret and communicate the results of such models.

Co-requisite: MA533 Contingencies II

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A stochastic process is a process developing in time according to probability rules, for example, models for reserves in insurance companies, queue formation, the behaviour of a population of bacteria, and the persistence (or otherwise) of an unusual surname through successive generations.The syllabus will include coverage of a wide variety of stochastic processes and their applications: Markov chains; processes in continuous-time such as the Poisson process, the birth and death process and queues.

Marks on this module can count towards exemption from the professional examination CT4 of the Institute and Faculty of Actuaries. Please see for further details.

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This module covers the entry-level skills and knowledge required for those wishing to enter the actuarial (or related) profession. The module provides context for the actuarial techniques learned to date on the programme, as well as providing a platform for ongoing professional development. The first half of the module focuses on employability-related topics, such as creating a strong CV, and how to succeed in assessment centres. The second half explores the sectors that actuaries typically work in, explaining the concepts underpinning life insurance, general insurance, pensions, and risk management. Because of its practical nature, the syllabus is dynamic, changing regularly to reflect current practice and trends.

The textbooks listed are not required to be purchased, but may be consulted as further reading for students.

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Calculations in life assurance, pensions and health insurance require reliable estimates of transition intensities/survival rates. This module covers the estimation of these intensities and the graduation of these estimates so they can be used reliably by insurance companies and pension schemes. The syllabus includes the following: Principles of actuarial modelling. Distribution and density functions of the random future lifetime, the survival function and the force of hazard. Estimation procedures for lifetime distributions including censoring, Kaplan-Meier estimate, Nelson-Aalen estimate and Cox model. Statistical models of transfers between states. Maximum likelihood estimators for the transition intensities. Binomial and Poisson models of mortality. Estimation of age-dependent transition intensities. The graduation process. Testing of graduations. Measuring the exposed-to-risk.

Marks on this module can count towards examption from the professional examination CT4 of the Institute and Faculty of Actuaries. Please see for further details.

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Teaching and assessment

Most of the teaching is by lectures and examples classes. At Stage 1, you can go to regular supervised classes where you can get help and advice on the way you approach problems. Modules that include programming or working with computer software packages usually involve practical sessions.

Each year, there are a number of special lectures by visiting actuaries from external organisations, to which all students are invited. These lectures help to bridge the gap between actuarial theory and its practical applications.

The course provides practical experience of working with PROPHET, a market-leading actuarial software package used by commercial companies worldwide for profit testing, valuation and model office work. 

Modules are assessed by end-of-year examinations, or by a combination of coursework and examinations.

Programme aims

We aim to help students develop:

  • skills and knowledge appropriate to graduates in mathematical subjects
  • the ability to use rigorous reasoning and precise expression
  • the capabilities to formulate and solve problems
  • an appreciation of recent actuarial developments, and of the links between the theory and its practical application in industry
  • the ability to formulate a logical, mathematical approach to solving problems
  • an enhanced capacity for independent thought and work
  • competence in the use of IT and the relevant software
  • opportunities to study advanced topics, engage in research and develop communication and personal skills
  • eligibility for up to eight exemptions from examinations of the Institute and Faculty of Actuaries.

In addition, the Year in Industry enables students to gain awareness of the application of technical concepts in the workplace.

Learning outcomes

Knowledge and understanding

You gain knowledge and understanding of:

  • the principles of specific actuarial mathematics techniques including calculus, algebra, mathematical methods, discrete mathematics, analysis and linear algebra
  • probability and inference and time series modelling, plus specialist statistics applications in insurance
  • IT skills relevant to actuaries
  • methods and techniques appropriate to the mathematics of finance, finance and financial reporting, and financial economics
  • the principles of economics as relevant to actuaries
  • methods and techniques appropriate to survival models
  • the core areas of actuarial practice.

Intellectual skills

You gain the following intellectual abilities:

  • a reasonable understanding of the programme's main body of knowledge
  • skills in calculation and manipulation of the material in the programme
  • the ability to apply a range of concepts and principles in various contexts
  • how to present a logical argument
  • solving problems using various appropriate methods
  • IT skills
  • research, presentation and report-writing skills
  • an aptitude to work independently with relatively little guidance.

Subject-specific skills

You gain actuarial science skills in the following:

  • specific mathematical and statistical techniques and their application to solving actuarial problems
  • use of industry-specific IT skills and software
  • an understanding of the practical applications of the subject material in insurance
  • the ability to develop simple actuarial computer models to solve actuarial problems and to interpret and communicate the results.

Transferable skills

You gain transferable skills in the following:

  • problem-solving in relation to qualitative and quantitative information
  • written and oral communication skills
  • numeracy and computation
  • information retrieval, in relation to primary and secondary information sources, including online computer searches
  • word-processing and other IT skills, including spreadsheets and internet communication
  • interpersonal skills such as the ability to interact with other people and to engage in team-working
  • time-management and organisation, and the ability to plan and implement efficient and effective modes of working
  • study skills required for continuing professional development.


Graduate destinations

The Actuarial Science programme allows you to gain exemptions from the professional examinations set by the UK actuarial profession, so our graduates have a head start when looking to qualify as actuaries. It also provides an excellent foundation for careers in many other areas of finance and risk.

Recent graduates have gone on to work in:

  • insurance companies and consultancy practices
  • the Government Actuary’s Department
  • the London Stock Exchange
  • other areas of financial management.

Help finding a job

The University has a friendly Careers and Employability Service, which can give you advice on how to:

  • apply for jobs
  • write a good CV
  • perform well in interviews.

Career-enhancing skills

You graduate with an excellent grounding in the fundamental concepts and principles of actuarial science, together with practical experience in the use of industry-standard actuarial software.

To help you appeal to employers, you also learn key transferable skills that are essential for all graduates. These include the ability to:

  • think critically
  • communicate your ideas and opinions
  • manage your time effectively
  • work independently or as part of a team.

You can also gain extra skills by signing up for one of our Kent Extra activities, such as learning a language or volunteering.

Professional recognition

Our degree can give exemption from the core technical subjects (CT1 to CT8) of the professional examinations set by the UK actuarial profession, and gives a firm foundation for the later specialist technical subjects. Graduates may also get exemption from some of the examinations set by the Chartered Insurance Institute.

Independent rankings

Mathematics at Kent was ranked 19th in the UK for graduate prospects in The Complete University Guide 2017. Of Mathematics and Statistics students who graduated from Kent in 2015, 92% were in work or further study within six months (DLHE).

According to Which? University (2017), the average starting salary for graduates of this degree is ‘high’ at £23,000. 

Studying actuarial science gave me a strong foundation in the concepts of the profession, which set me apart from other candidates.

Vikram Joshi Actuarial Science BSc

Entry requirements

When considering your application, we look at both your qualifications and your potential, as shown, for example, by your personal statement and the comments of your referees.

To take a foundation degree, you need to have an English language standard of 5.5 in IELTS; however please note that these requirements are subject to change.  For the latest details, see

Home/EU students

The University will consider applications from students offering a wide range of qualifications. Students offering alternative qualifications should contact us for further advice. 

It is not possible to offer places to all students who meet this typical offer/minimum requirement.

New GCSE grades

If you’ve taken exams under the new GCSE grading system, please see our conversion table to convert your GCSE grades.

International students

The University welcomes applications from international students. Our international recruitment team can guide you on entry requirements. See our International Student website for further information about entry requirements for your country.

If you need to increase your level of qualification ready for undergraduate study, we offer a number of International Foundation Programmes.

Meet our staff in your country

For more advise about applying to Kent, you can meet our staff at a range of international events. 

English Language Requirements

Please see our English language entry requirements web page.

Please note that if you are required to meet an English language condition, we offer a number of 'pre-sessional' courses in English for Academic Purposes. You attend these courses before starting your degree programme. 

General entry requirements

Please also see our general entry requirements.


The 2017/18 tuition fees for this programme are:

UK/EU Overseas
Full-time £9250 £13810

UK/EU fee paying students

The Government has announced changes to allow undergraduate tuition fees to rise in line with inflation from 2017/18.

In accordance with changes announced by the UK Government, we are increasing our 2017/18 regulated full-time tuition fees for new and returning UK/EU fee paying undergraduates from £9,000 to £9,250. The equivalent part-time fees for these courses will also rise from £4,500 to £4,625. This was subject to us satisfying the Government's Teaching Excellence Framework and the access regulator's requirements. This fee will ensure the continued provision of high-quality education.

For students continuing on this programme, fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.* 

The University will assess your fee status as part of the application process. If you are uncertain about your fee status you may wish to seek advice from UKCISA before applying.

Fees for Year Abroad/Industry

As a guide only, UK/EU/International students on an approved year abroad for the full 2017/18 academic year pay an annual fee of £1,350 to Kent for that year. Students studying abroad for less than one academic year will pay full fees according to their fee status. 

Please note that for 2017/18 entrants the University will increase the standard year in industry fee for home/EU/international students to £1,350.

General additional costs

Find out more about accommodation and living costs, plus general additional costs that you may pay when studying at Kent.


University funding

Kent offers generous financial support schemes to assist eligible undergraduate students during their studies. See our funding page for more details. 

Government funding

You may be eligible for government finance to help pay for the costs of studying. See the Government's student finance website.

The Government has confirmed that EU students applying for university places in the 2017 to 2018 academic year will still have access to student funding support for the duration of their course.


General scholarships

Scholarships are available for excellence in academic performance, sport and music and are awarded on merit. For further information on the range of awards available and to make an application see our scholarships website.

The Kent Scholarship for Academic Excellence

At Kent we recognise, encourage and reward excellence. We have created the Kent Scholarship for Academic Excellence. The scholarship will be awarded to any applicant who achieves a minimum of AAA over three A levels, or the equivalent qualifications (including BTEC and IB) as specified on our scholarships pages.

The scholarship is also extended to those who achieve AAB at A level (or specified equivalents) where one of the subjects is either Mathematics or a Modern Foreign Language. Please review the eligibility criteria.

The Key Information Set (KIS) data is compiled by UNISTATS and draws from a variety of sources which includes the National Student Survey and the Higher Education Statistical Agency. The data for assessment and contact hours is compiled from the most populous modules (to the total of 120 credits for an academic session) for this particular degree programme. Depending on module selection, there may be some variation between the KIS data and an individual's experience. For further information on how the KIS data is compiled please see the UNISTATS website.

If you have any queries about a particular programme, please contact