Actuaries evaluate and manage financial risk. They make financial sense of the future for their clients by applying advanced mathematical and statistical techniques to solve complex financial problems.
A first or upper second class degree in mathematics, statistics or economics (although other subjects with a high mathematical content are acceptable).
All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.
Please see our International Student website for entry requirements by country and other relevant information. Please note that international fee-paying students cannot undertake a part-time programme due to visa restrictions.
The University requires all non-native speakers of English to reach a minimum standard of proficiency in written and spoken English before beginning a postgraduate degree. Certain subjects require a higher level.
For detailed information see our English language requirements web pages.
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 through Kent International Pathways.
Duration: 2 years full-time
The course is based on a ‘core modules plus options’ structure and exemptions can be gained from professional examinations.
Progression to Stage 2 is conditional upon satisfactory performance in Stage 1. MSc degree classification is based solely on the marks achieved in the second year of study.
The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.
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.
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 http://www.kent.ac.uk/casri/Accreditation/index.html for further details.
The curriculum covers parts of the professional curriculum of the Institute and Faculty of Actuaries syllabus CS1, and it introduces (and revises for some students) the essentials of probability and classical (frequentist) statistical inference.
Probability: review of elementary probability, concept of random variable, discrete and continuous probability distributions, cumulative distribution function, expectation and variance, joint distributions, marginal and conditional distributions, generating functions and transformation of random variables.
Statistics: sampling distributions, point estimation, method of moment and maximum likelihood estimation, confidence intervals, hypothesis testing, association between variables and linear regression.
The aim of this module is to provide a grounding in the principles of modelling as applied to actuarial work – focusing particularly on deterministic models which can be used to model and value cashflows which are dependent on death, survival, or other uncertain risks. The module will include coverage of equations of value and its applications, single decrement models, multiple decrement and multiple life models. This module will cover a number of syllabus items set out in Subject CM1 – Actuarial Mathematics published by the Institute and Faculty of Actuaries.
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 giving a coherent coverage of the material suitable for students of finance, where understanding economic concepts and principles is important and also to enable the students to gain exemptions from the actuarial subject Business Economics. The syllabus coverage 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 http://www.kent.ac.uk/casri/Accreditation/index.html for further details.
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 exemption from the professional examination CT4 of the Institute and Faculty of Actuaries. Please see http://www.kent.ac.uk/casri/Accreditation/index.html for further details.
This module provides an introduction to the principles of corporate finance and financial reporting. It is intended for students of Finance and Actuarial Science and is available to students in other programmes where a basic knowledge of financial markets, financial accounting and reporting is needed.
The syllabus introduces and develops the concepts and elements of corporate finance including a knowledge of the instruments used by companies to raise finance and manage financial risk, introduces the concepts and techniques of financial accounting and enables students to understand and interpret critically financial reports of companies and financial institutions including financial statements used by pension funds and insurance companies. (See the CT2 syllabus at http://www.actuaries.org.uk/students/pages/syllabus-exams. This is a dynamic syllabus, changing regularly to reflect current practice. )
The aim of this module is to provide a grounding in the principles of modelling as applied to actuarial work – focusing particularly on stochastic asset liability models. These skills are also required to communicate with other financial professionals and to critically evaluate modern financial theories.
Indicative topics covered by the module include theories of financial market behaviour, measures of investment risk, stochastic investment return models, asset valuations, and liability valuations.
The additional 4 contact hours for level 7 students will be devoted to applications of the principles of financial economics and asset and liability modelling to complex financial instruments.
This module will cover a number of syllabus items set out in Subject CM2 – Actuarial Mathematics published by the Institute and Faculty of Actuaries.
Introduction: Principles and examples of stochastic modelling, types of stochastic process, Markov property and Markov processes, short-term and long-run properties. Applications in various research areas.
Random walks: The simple random walk. Walk with two absorbing barriers. First–step decomposition technique. Probabilities of absorption. Duration of walk. Application of results to other simple random walks. General random walks. Applications.
Discrete time Markov chains: n–step transition probabilities. Chapman-Kolmogorov equations. Classification of states. Equilibrium and stationary distribution. Mean recurrence times. Simple estimation of transition probabilities. Time inhomogeneous chains. Elementary renewal theory. Simulations. Applications.
Continuous time Markov chains: Transition probability functions. Generator matrix. Kolmogorov forward and backward equations. Poisson process. Birth and death processes. Time inhomogeneous chains. Renewal processes. Applications.
Queues and branching processes: Properties of queues - arrivals, service time, length of the queue, waiting times, busy periods. The single-server queue and its stationary behaviour. Queues with several servers. Branching processes. Applications.
In addition, level 7 students will study more complex queuing systems and continuous-time branching processes.
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 http://www.kent.ac.uk/casri/Accreditation/index.html for further details.
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.
The aim of this module is to develop the student's ability to apply a wide range of key actuarial concepts in simple traditional and non-traditional situations.
Outline syllabus includes:
* providers of benefits;
* managing risks;
* life and general insurance products;
* regulatory regimes;
* external environment;
* cashflows of simple products;
* money, bond, equity and property markets;
* futures and options; collective investment vehicles;
* overseas markets; economic influences on investment markets;
* other factors affecting relative valuation;
* relationship between returns on asset classes;
* asset modelling;
* meeting institutional investor needs;
* personal investment;
* valuation of individual investments;
* valuation of asset classes and portfolios;
* developing an investment strategy.
The aim of this module is to develop the student's ability to apply a wide range of key actuarial concepts in simple traditional and non-traditional situations. Outline syllabus includes: how to do a professional job; contract design; modelling; data; setting assumptions; expenses; pricing and financing strategies; valuing liabilities; accounting and disclosure; surplus and surplus management; sources of risks; risks in benefit schemes; pricing and insurance risks; the risk management process; risk management tools; capital management and monitoring experience.
Actuaries deal with complex actuarial and financial concepts in multi-disciplinary teams, so it is vital that they can communicate these concepts clearly and effectively to a wider audience. This module helps students to develop the ability to present fundamental actuarial ideas and concepts clearly to a wide range of different recipients. Students will be expected to demonstrate effective communication skills using a variety of different media, including PowerPoint slide presentations, and formal/informal letters and e-mails. Exercises are based on real-world commercial situations, and there are two group exercises, one of which is assessed.
Marks on this module can count towards exemption from the professional examination CA3 of the Institute and Faculty of Actuaries. Please see http://www.kent.ac.uk/casri/Accreditation/index.html for further details.
The aim of this module is to introduce the key principles of Enterprise Risk Management ("ERM") within an organisation (e.g. insurance companies, banks, pension schemes). ERM involves the integration of risk management across an organisation, rather than treating each individual risk which an organisation faces separately. Students should gain an understanding of the implementation and application of ERM; as such successful students in MA909 will acquire skills which are applicable to a diverse range of organisations and scenarios. A number of syllabus items are highly technical - students will be introduced to a number of concepts such as copulas and GARCH models, whilst developing concepts introduced under CT6, CT8 and CA1. As such students intending to study this module should be confident with material studied in the CT6 and CT8 syllabuses. Outline syllabus: ERM framework and processes, risk classification, modelling risks and correlations, identifying, measuring and managing risks across an organisation, economic capital, application of quantitative techniques/models such as copulas, extreme value theory, credit risk models, GARCH models.
Marks on this module can count towards exemption from the professional examination ST9 of the Institute and Faculty of Actuaries. Please see http://www.kent.ac.uk/casri/Accreditation/index.html for further details.
This module introduces students to the principles of actuarial planning and control, and mathematical and economic techniques, relevant to life insurance companies. The student should gain the ability to apply the knowledge and understanding, in simple situations, to the operation, on sound financial lines, of life insurance companies. Outline syllabus includes: principal terms used in life insurance; the main types of life insurance products; methods of distributing profits to with profits policyholders including the use of asset shares; effect of the general business environment on a life insurance company; risks to a life insurance company and methods to manage these risks (including the use of reinsurance and underwriting); use of actuarial models for decision making purposes; principles of unit pricing and the technique of actuarial funding for unit linked life insurance contracts; cost of guarantees and options; determining discontinuance and alteration terms for without profits contracts; factors to consider in determining a suitable design for a life insurance product; setting assumptions for pricing and valuing life insurance contracts; determining supervisory reserves; principles of investment for a life insurance company; monitoring actual experience of a life insurance company.
The aim of this module is to introduce students to various financing and investment opportunities available to participants in financial markets. The module covers various different asset classes like hedge funds, private equity, infrastructure and derivatives pricing and valuation. The module also explores the relationship between investors and investment managers in detail. The concepts of risk and return and the roles of regulators, central banks and governments are also analysed. Outline syllabus includes: the theory of finance, specialist asset classes, influence of regulatory and legislative framework on markets, fundamental analysis, valuation of assets, investment indices, performance measurement, risk control, actuarial techniques, portfolio management and taxation.
To follow professional curriculum of the Faculty and Institute of Actuaries examination ST5 – https://www.actuaries.org.uk/studying/plan-my-study-route/fellowshipassociateship/specialist-technical-subjects. This is a dynamic syllabus, changing regularly to reflect current practice.
This module introduces different financial derivative contracts available in the market, develops pricing techniques and risk management tools to manage risks associated with a portfolio of derivative contracts. 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. Interest rate models and interest rate derivatives are discussed in detail. Credit risk models are introduced in the context of pricing defaultable bonds and credit derivatives. Outline syllabus includes: An introduction to derivatives, futures and forward, options and trading strategies, binomial tree model, Black-Scholes option pricing formula, Greeks and derivative risk management, numerical techniques, exotic options, interest rate models and interest rate derivatives, credit risk and credit derivatives.
To follow professional curriculum of the Faculty and Institute of Actuaries examination ST6 – https://www.actuaries.org.uk/studying/plan-my-study-route/fellowshipassociateship/specialist-technical-subjects. This is a dynamic syllabus, changing regularly to reflect current practice.
The aim of this module is to develop the student's ability to apply, in simple situations, the mathematical and economic techniques and the principles of reserving and capital modelling needed for the operation on sound financial lines of general insurers. Outline syllabus includes: insurance products; reinsurance products; the business environment; Lloyd's; risk and uncertainty; data; actuarial investigations; reserving by triangulation methods; reserving bases; stochastic claims reserving; assessment of reserving results; use of ranges and best estimates in reserving; investment principles and asset liability matching; capital modelling; determining appropriate reinsurance; reserving of reinsurance; accounting principles; interpreting accounts; regulation.
To follow professional curriculum of the Faculty and Institute of Actuaries examination ST7 – https://www.actuaries.org.uk/studying/plan-my-study-route/fellowshipassociateship/specialist-technical-subjects. This is a dynamic syllabus, changing regularly to reflect current practice.
The aim of this module is to develop the student's ability to apply, in simple situations, the mathematical and economic techniques and the principles of premium rating needed for the operation on sound financial lines of general insurers. Outline syllabus includes: insurance products; reinsurance products; the business environment; risk and uncertainty; data; actuarial investigations; aggregate claim distribution methods; introduction to rating methodologies and bases; rating using frequency-severity and burning cost approaches; rating using original loss curves; generalised linear modelling; use of multivariate analysis in pricing; credibility theory; rate monitoring; pricing of reinsurance; use of catastrophe models.
To follow professional curriculum of the Faculty and Institute of Actuaries examination ST8 – https://www.actuaries.org.uk/studying/plan-my-study-route/fellowshipassociateship/specialist-technical-subjects. This is a dynamic syllabus, changing regularly to reflect current practice.
The aim of the module is to introduce the students to actuarial research topics. The students will be introduced to research tools which they will use to carry out a short project on one of these topics. Outline syllabus includes: Scientific word-processing and computing, in which students are introduced to, and gain experience of, the main computing utilities currently used in the School and across campus which are relevant to the course. Scientific word-processing will be taught using LaTex. Students will also be introduced to the statistical software R. Topics in advanced topical actuarial research: Students will be introduced to areas of actuarial research which are topical and are of interest to the actuarial profession. This may include, but is not limited to, advanced topics on financial risk management, mortality models and adverse selection. Project work: There is no fixed syllabus for this component of the course. Students will work on one of the areas of actuarial research introduced in the course. They will produce a review of existing literature on the particular topic to gain a better understanding of the issues involved. The students will then be required to make a contribution to the knowledge and understanding of that particular area of research and produce a written report.
Students, either individually or as part of a group, will be assigned a project on an area of actuarial research. For each project, the students will be required to process and analyse information, form conclusions, and produce a written report in Latex that contains a review of existing literature on the particular topic, and a contribution to the knowledge and understanding of that particular area of research.
Introduction: Machine learning and data visualisation with R.
Classification and prediction: Generalised linear model (GLM), linear discrimination analysis (LDA), k-nearest neighbors (KNN). R-based worked examples.
Resampling methods: Cross-validation (CV) and bootstrap. R-based worked examples.
Regression tree-based methods: Classification and regression trees (CART), bagging, random forests and boosting. R-based worked examples.
Support vector machines (SVM): Support vector classifier, regression SVM. R-based worked examples.
Machine Learning in Action:
(a) Biomedical and health data analysis;
(b) Bond default data analysis;
(c) Insurance data analysis;
(d) Financial data analysis;
(e) Other big data analysis.
This module gives students practical experience of working with the financial actuarial model, PROPHET, which is used by commercial companies worldwide primarily for profit testing, valuation and model office work. On successful completion of the module, students will have developed skills in solving actuarial problems using appropriate computer techniques. They will also have developed skills using appropriate information technology. Outline syllabus includes: overview of the uses and applications of PROPHET; introduction on how to use the software package (including security implications); using Example Model Office to perform and check the results (for reasonableness) on new business profit tests on various products using the edit facility on the model point file, parameter file and global file; creation of a new product on PROPHET using an empty workspace and selecting the appropriate indicators and variables for that product; setting up a model point file, parameter file and global file for the new product and also setting up a run setting and run structure for this product; performing a profit test for the new product using one in force model point and one new business model point and checking the cash flow results obtained; performing a number of sensitivity tests on a series of new business model points to achieve a given profit criteria; reporting on dependencies in Diagram View; updating the library and product; using the re-scan and regeneration of products facilities.
This module builds on the knowledge of the use of PROPHET introduced to students in MACT9500 – PROPHET 1. Outline syllabus includes: using Example Model Office to perform and check the results (for reasonableness) on Model Office runs using multiple products and the total business summary file including when changes have been made to the assumptions to the global file; using the Model Office run view to analyse the effect that changes to the input data has had on the model; running Model Office with products from the Example Model Office and creating reports on model office runs summarising the results obtained; using PROPHET "goal seek" capability to find a premium rate that achieves a desired level of profitability for a new business model point; using PROPHET "goal seek" capability to find a premium rate that achieves a desired level of profitability for a new business model point using 3 further measures of profitability (Internal Rate of
Return, Break Even Month and Profit Margin); using the PROPHET Data Conversion System to read an input file in ASCII format to i) perform a number of calculations on the individual policy data and then produce output files for use by PROPHET system, ii) add validation checks and correction rules to the programme and iii) group the data so that grouped model point file rather than individual model point file data is produced.
The curriculum is intended to be consistent with that of the Institute and Faculty of Actuaries professional subject CP2.
Students will be given training to use Microsoft Word, Excel and PowerPoint to a level that is needed for the module (some familiarity with the packages is assumed).
The curriculum provides an introduction to, and development of, practical modelling techniques including the need for appropriate documentation, with a series of exercises to develop skills in applying techniques. Exercises are completed and discussed in class, along with the methods and principles of financial modelling and documentation.
Assessment is a combination of coursework and written examinations.
This programme aims to:
You will gain knowledge and understanding of:
You develop intellectual skills in:
You gain subject-specific skills in:
You will gain the following transferable skills:
The 2020/21 annual tuition fees for this programme are:
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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.* If you are uncertain about your fee status please contact email@example.com
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In The Complete University Guide 2020, the University of Kent was ranked in the top 10 for research intensity. This is a measure of the proportion of staff involved in high-quality research in the university.
Please see the University League Tables 2020 for more information.
In the Research Excellence Framework (REF) 2014, 100% of our research was judged to be of international quality and we were ranked 25th in the UK for research power.
An impressive 92% of our research-active staff submitted to the REF and the School’s environment was judged to be conducive to supporting the development of world-leading research.
Work in actuarial science at the University of Kent can be divided into three broad themes achieving a balance of theoretical and applied investigations, as well as addressing social policy implications.
With the advent of new risk-based regulations for financial services firms, specifically Basel 2 and Basel 3 for banks and Solvency 2 for insurers, there is now a heightened focus on the practical implementation of quantitative risk management techniques for firms and defined benefit pension schemes operating within the financial services sector.
In particular, financial services firms are now expected to self-assess and quantify the amount of capital they need to cover the risks they are running. This self-assessed quantum of capital is commonly termed risk, or economic, capital.
At Kent we are actively involved in developing rigorous risk management techniques to explicitly measure how much risk a firm or pension scheme is taking, holistically, across the entire spectrum of risks it accepts.
Longevity risk represents a substantial threat to the stability of support programmes for the elderly, most notably to the subset that provides income protection but also to non-traditional products such as home equity release schemes.
One approach to dealing with longevity risk is to model key factors that influence mortality; this may be achieved using aggregate (causal) mortality rates or panel data with individual-specific covariates. Another approach to modelling longevity risk is via an investigation of positive quadrant dependence between lives, which requires a multivariate framework. Once this is in place, longevity risk may be investigated on various fronts ranging from entire populations to couples.
Restrictions on risk classification can lead to adverse selection, and actuaries usually regard this as a bad thing. However, restrictions do exist in many countries, suggesting that policymakers often perceive some merit in such restrictions. Careful re-examination of the usual actuarial arguments can help to reconcile these observations.
Models of insurance purchasing behaviour under different risk classification regimes can quantify the effects of particular bans, e.g. on insurers’ use of genetic test results, or gender classification in the European Union.
Full details of staff research interests can be found on the School's website.
Longevity risk and lifetime dependence modelling; stochastic claims reserving; quantitative risk management.View Profile
Economic capital and financial risk management; genetics and insurance.View Profile
The UK Actuarial Profession is small, but influential and well rewarded. There are more than 6,500 actuaries currently employed in the UK, the majority of whom work in insurance companies and consultancy practices.
Survey results published by the Institute and Faculty of Actuaries suggest that the average basic salary for a student actuary is £35,936 with pay and bonuses increasingly sharply as you become more experienced. The average basic salary of a Chief Actuary is £206,236.
As an actuary, your work is extremely varied and can include: advising companies on the amount of funds to set aside for employee pension payments; designing new insurance policies and setting premium rates; pricing financial derivatives and working in fund management and quantitative investment research; advising life insurance companies on he distribution of surplus funds; and estimating the effects of possible major disasters, such as earthquakes or hurricanes, and setting premium rates for insurance against such disasters. For more information about the actuarial profession, see www.actuaries.org.uk
Helping our students to develop strong employability skills is a key objective within the School and the University. We provide a wide range of services and support to equip you with transferable vocational skills that enable you to secure appropriate professional positions within industry. Within the School we run specialist seminars and provide advice on creating a strong CV, making job applications and successfully attending interviews and assessment centres.
Our graduates have gone on to successful careers in the actuarial, finance, insurance and risk sectors.
Fully accredited by the Institute and Faculty of Actuaries. Students who achieve a high enough overall mark can obtain exemptions from the professional examinations included within their studies.
The University’s Templeman Library houses a comprehensive collection of books and research periodicals. The University of Kent has entered into an exclusive arrangement with SunGard, a global leader in integrated software and processing solutions primarily for financial services, who market the industry’s leading actuarial software package PROPHET. As a result, our taught postgraduate courses include optional modules on the uses and applications of PROPHET.
This International Master’s offers exemptions from eight subjects within the Core Technical stage in the first year and exemptions from the Core Applications and Specialist Technical stages in the second year of the programme.
The Postgraduate Diploma in Actuarial Science offers exemption from eight subjects within the Core Technical Stage of the professional examinations of the Institute and Faculty of Actuaries.
The MSc in Applied Actuarial Science offers exemption from subjects in the Core Applications Stage and the Specialist Technical Stage of the professional examinations.
The Centre for Actuarial Science, Risk and Investment maintains close relationships with industry actuaries through the Invicta Actuarial Society, a regional actuarial society which holds its meetings at the Canterbury campus and is organised by University of Kent students and academic staff. The Society hosts an annual lecture in conjunction with the Worshipful Company of Actuaries, featuring prestigious speakers from industry and the profession. The Society also arranges talks from external speakers including practitioners, careers advisers and recruiters from the UK and overseas.
Staff publish regularly and widely in journals, conference proceedings and books. Among others, they have recently contributed to: British Actuarial Journal; Actuary Australia; Annals of Actuarial Science; Journal of Pension Economics and Finance. Details of recently published books can be found under staff research interests.
All students registered for a taught Master's programme are eligible to apply for a place on our Global Skills Award Programme. The programme is designed to broaden your understanding of global issues and current affairs as well as to develop personal skills which will enhance your employability.
Learn more about the applications process or begin your application by clicking on a link below.
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