BSc Actuarial Sciences (with a Year in Industry)


Actuarial Sciences incorporates multi-disciplinary teaching, combining the expertise of the School of Computing Sciences, School of Mathematics, School of Economics and Norwich Business School to give our students a unique opportunity to pursue a stimulating and influential career as an actuary.

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Key facts

Key facts

Actuarial Sciences at UEA allows you to turn your interest in maths, computing and business into a successful career as an actuary, which is currently the number 1 job in the UK (, 2015). We focus on preparing and supporting you for a secure, in demand and well-paid career path. We have strong links with Aviva, providing you with a unique opportunity to gain tuition, experience and employment from the best in the industry. The year in industry will ensure you graduate with relevant work experience, putting you one step ahead of other students.

You will be taught by expert academics from the Schools of Computing Sciences, Mathematics, Economics and the Norwich Business School, as well as practicing Actuaries from Aviva. The vast majority of learning takes place in small groups, providing you with quality contact time with lecturers while learning through first-hand experience. Recent placement partners have included Aviva, Money Facts and BSkyB.


The BSc Actuarial Sciences with a year in industry programme allows you to spend a year in industry, giving you the chance to gain relevant work experience and to apply the theory you will learn to practical use in a professional environment. The course is aimed at students who wish to become professional actuaries, and who are passionate about mathematics, economics and problem solving.

Our multidisciplinary programme covers interrelating subjects on current issues in Mathematics, Computing, Finance and Business. Teaching combines the expertise of the School of Computing Sciences, School of Mathematics, School of Economics and the Norwich Business School alongside the expertise of practicing actuaries from Aviva, made possible through our strong links with industry.

The teaching programme is designed to develop your mathematical, financial and statistical knowledge, as well as encouraging you to pursue specialist interests in business or computing. The course also gives you the opportunity to gain exemptions from the first eight professional examinations set by the UK Actuarial Profession (CT1-CT8).  Furthermore, you may use the experience gained during your year in industry to count towards the work based skills requirement for becoming a Fellow of the Institute and Faculty of Actuaries.

Course Structure

This three year course will begin by developing your knowledge in areas including mathematics, computing, economics and business. This continues into your second year, as you also begin to pursue your own specialist interests through an optional module. Your third year will be spent in industry, gaining experience relating to the actuary profession. Specialisation continues in your final year, alongside core modules designed to strengthen your mathematical knowledge and familiarise you with professional actuarial practice.

Year 1

Compulsory modules in the first year provide you with a clear understanding of areas including mathematics, computing, business and problem solving skills. You will receive teaching from a variety of departments that will build upon and develop your pre-existing knowledge, with modules including ‘Mathematics For Actuaries’ that will begin to develop your awareness and understanding of actuary practice.

Year 2

In the second year of your degree you will be introduced to specific actuarial themes and taught about business and economics in the actuarial profession. There is also an opportunity for you to begin developing your own specialist interests by taking an optional module in economics, business or computing.

Year 3 (Year in Industry)

In your third year you will take part in an industrial placement from 9-14 months of full time employment. The placements are sourced and secured by you (with help from UEA), and you will be paying a reduced tuition rate and potentially receiving a wage. Throughout the work placement you will keep in close contact with an assigned mentor at UEA, who will also visit you at least once during the year. You will also be supported by an industrial supervisor.

Year 4

Academic development continues into your final year, where you will be able to focus on developing your advance knowledge of statistics, mathematics and professional actuarial practise.

Year in Industry

Completion of a Year in Industry programme will ensure you graduate with relevant work experience, putting you one step ahead of other students. This exciting degree programme provides you with this opportunity.

There is no greater asset in today’s competitive job market than relevant work experience. A Year in Industry will give you first-hand knowledge of not only the mechanics of how your chosen field operates but it will also greatly improve your chances of progressing within that sector as you seal valuable contacts and insight. These courses will also enhance your studies as theory is transformed into reality in a context governed by very real, time and financial constraints.

If you do not meet the standard entry requirement for admission to the Actuarial Science degree, you may be offered a place on our BSc Business Statistics degree. These programmes have a common first year and, subject to adequate performance in year 1, you may be able to transfer to the second year of the Actuarial Science degree.”

Our Industrial Links

We have well-established commercial connections throughout the UK and beyond and can help you to identify and compete for appropriate industrial opportunities. Recent placement partners in the School have included: AvivaAntechMoney FactsBartram Mowers, and BSkyB. Other suitable placements may be found at; BloombergBritish TelecomHewlett PackardIBMIntelLogica or Microsoft.

Financial Benefits

A big attraction to this type of course, apart from the enhanced career prospects, is that students will pay much reduced tuition fees for that year (see fees and funding tab). There is also a realistic chance of being paid by the placement provider during the year which is a great way to help fund your continued studies.

For the latest on financial arrangements for our Year in Industry students please visit the UEA Finance webpage.

How it Works

The Year in Industry BSc degree programmes are four years in length with the work placement taking place during the third year. They are a minimum of nine months full-time employment and a maximum of 14 months.

Throughout the work placement, you keep in close contact with an assigned mentor at UEA and your mentor will also visit you at least once during the year. You will also be supported by an industrial supervisor.

We expect students to seek their own work placements, although the School has industrial collaborators aplenty to help you with your choice. Not only will this ensure that you work within your preferred field of computing sciences, it will also provide you with the essential job-hunting skills you will require after graduation. We will, of course, offer our guidance whilst students are identifying and negotiating placement opportunities.

Please note that we cannot guarantee any student a work placement as this decision rests with potential employers and students will be expected to source these placements themselves.

For further information, please contact: Dr Mark Fisher, Year in Industry Co-ordinator, e-mail:

View our Year in Industry brochure.

Student Experiences

  • Declan Clegg, Actuarial Science student, returns from a fulfilling year in industry at Royal London
  • Jonathan Lane, Actuarial Science student, undertakes an internship at the American International Group (AIG)
  • Lucinda Webb, Actuarial Science student, reports on her experiences of studying at Aviva

Course Modules

Students must study the following modules for 120 credits:

Name Code Credits


THIS MODULE IS INCOMPATIBLE WITH MTHA4001Y and ENV-4002Y. (a) Complex numbers. (b) Differentiation and integration. Taylor and MacLaurin series. Applications: curve sketching, areas, arc length. (c) First order, second order constant coefficient ordinary differential equations. Reductions of order. Numerical solutions using MAPLE. Partial derivatives, chain rule. (d) Vectors. (e) Line integrals. Multiple integrals including change of co-ordinates by Jacobians. Green's theorem in the plane. (f) Probability as a measurement of uncertainty, statistical experiments and Bayes' theorem. Discrete and continuous distributions. Expectation. Applications of probability: Markov chains, reliability theory. Students must have A-level Mathematics Grade 'B' or above or equivalent.




This module provides students with an introduction to core economic theory and principles in a business context. It combines basic microeconomic and macroeconomic theory with cases/applications in a teaching programme designed to provide students with the ability to understand and analyse current and topical economic issues with relevance for business.




This module provides a foundation in the theory and practice of accounting and an introduction to the role, context and language of financial reporting and management accounting. The module assumes no previous study of accounting. It may be taken as a standalone course for those students following a more general management pathway or to provide a foundation to underpin subsequent specialist studies in accounting. This module is for NBS students only.




This module introduces key concepts in set theory, linear algebra and core financial mathematics for actuarial science or business statistics students. THIS MODULE IS RESERVED FOR STUDENTS ON ACTUARIAL SCIENCES AND BUSINESS STATISTICS ONLY.




The purpose of this module is to give the student a solid grounding in the essential features of programming using Java programming language. The module is designed to meet the needs of the studet who has not previously studied programming.



Students must study the following modules for 120 credits:

Name Code Credits


This module provides a further grounding in mathematical and statistical techniques of relevance to financial work. It considers risk models involving frequency and severity distributions and the concept of ruin. It also examines the use of Bayesian statistics to derive credibility premiums and the techniques for analysing run-off triangles in general insurance. Part of this module will be taught by Aviva actuaries and will focus on the practical application of actuarial techniques across a range of disciplines (life assurance, pensions and general insurance). Successful completion of this module will contribute towards students gaining an exemption from the Institute and Faculty of Actuaries CT6 professional examination. The Aviva sessions will also provide a useful introduction and overview of the Actuarial Profession's CA1 subject (Actuarial Risk management) and exposure to some of the later Specialist Technical actuarial subjects, particularly ST3 (Insurance). THIS MODULE IS RESTRICTED TO ACTUARIAL SCIENCE STUDENTS ONLY AND IS NOT AVAILABLE TO STUDENTS OUTSIDE THIS COURSE.




THIS MODULE IS RESERVED FOR ACTUARIAL SCIENCE AND BUSINESS STATISTICS STUDENTS. This is a module designed to give students the opportunity to apply statistical methods in realistic situations. While no advanced knowledge of probability and statistics is required, we expect students to have some background in probability and statistics before taking this module. The aim is to introduce students to R statistical language and to cover Regression, Analysis of Variance and Survival analysis. Other topics from a list including: Extremes and quartiles, Bootstrap methods and their application, Sample surveys, Simulations, Subjective statistics, Forecasting and Clustering methods, may be offered to cover the interests of those in the class.




THIS MODULE IS RESERVED FOR STUDENTS ON U1N323401- ACTUARIAL SCIENCES AND U1G390301 - BUSINESS STATISTICS Differential Equations: Fourier series. Partial differential equations (PDEs): diffusion equation, wave equation, Laplace's equation. Solution by separation of variables in Cartesian and polar co-ordinates. Ordinary differential equations (ODEs): solution by reduction of order and variation of parameters. Series solution and the method of Frobenius. Legendre's and Bessel's equations: Legendre polynomials, Bessel functions and their recurrence relations This module provides grounding in the mathematical techniques which can be used to model and value cash flows dependent on death, survival, or other uncertain risks. It considers the statistics associated with various life assurance contracts and the calculation of their premiums and reserves. The module closely follows the Actuarial Profession's syllabus for "CT5", Contingencies, and it is anticipated that successful completion of this module together with the successful completion of the final year module CMP-6027B, Further Contingencies, will enable students choosing to follow an actuarial career to gain an exemption from CT5.




This module is about the theory and practice of financial accounting and reporting. This includes an examination of current and legal professional requirements as they relate to limited liability companies in the UK. Large UK companies report using International Financial Reporting Standards and therefore international reporting issues are considered.




This module builds on fundamentals of compound interest introduced in CMP-4003A to show how the key concepts introduced can be used in practical financial applications for Actuarial Science or Business Statistics students. THIS MODULE IS RESERVED FOR ACTUARIAL SCIENCE AND BUSINESS STATISTICS STUDENTS.




It introduces the essential concepts of mathematical statistics deriving the necessary distribution theory as required. In consequence in addition to ideas of sampling and central limit theorem, it will cover estimation methods and hypothesis-testing. Some Bayesian ideas will be also introduced.



Students must study the following modules for 120 credits:

Name Code Credits


This module provides an opportunity for students to undertake individual project work during their industrial training placement.




This module is for students who are enrolled on undergraduate programmes that combine academic study with an opportunity to gain experience by working for a year in industry.



Students must study the following modules for 80 credits:

Name Code Credits


This module provides a grounding in stochastic processes and survival models and their applications. It also gives an update on current issues in each of these areas and a review of the professional environment for actuaries with these topics being taught by Aviva actuaries. There is a Communication and Presentational skills session at Aviva where students have to present their coursework. We anticipate that successful completion of this module, as well as Advanced Statistics, will enable students choosing to follow an actuarial career to gain an exemption from "CT4" (the Actuarial Profession's Actuarial Models subject). This module is restricted to Actuarial Science students only and is not available to students outside this course.




This module covers three topics in statistical theory. For this year they are Regression and Linear Model, Generalised Models and Non-parametric Methods. The first two topics consider both the theory and practice of statistical model fitting and students will be expected to analyse real data. The third topic is chosen to be a contrasting one. Non-parametric methods are a vital part of the statisticians armoury and cheap computing makes such techniques very powerful. We look at the traditional permutation based methods as well as the empirical distribution function.




This module sets out the basic principles of financial management and applies them to the main decisions faced by the financial manager. For example, it explains why the firm's owners would like the manager to increase firm value and shows how managers choose between investments that may pay off at different points of time or have different degrees of risk. Moreover, it discusses how companies raise the necessary funds to pay for these investments and why they might prefer a particular source of finance. Overall, this module presents the tools of modern financial management in a consistent conceptual framework.




The use of stochastic techniques for modelling share prices, derivatives and interest rates are becoming increasingly important tools for the actuary. This module introduces stochastic interest rate models and gives an introduction to derivatives. It also expands on the application of Statistics within General Insurance with particular reference to Ruin Theory and Credibility Theory. This module is restricted to Actuarial Science students only and is not available to students outside this course.




This module provides grounding in the mathematical techniques which can be used to model and value cash flows dependent on death, survival or other uncertain risks. It considers the statistics associated with various life assurance contracts and the calculation of their premiums and reserves. The module closely follows the Actuarial Profession's syllabus for 'CT5', Contingencies ( and it is anticipated that successful completion of this module together with the successful completion of the second year module CMP-5035Y, Contingencies, will enable students choosing to follow an actuarial career to gain an exemption from CT5.



Students will select 40 credits from the following modules:

Please be aware that if you wish to be eligible for the IFoA CT8 exemption then you must select BOTH CMP-6035A and CMP-6032B. Students are not permitted to take just one of these modules, they must take both CMP-6035A AND CMP-6032B together.

Name Code Credits


This module is about building on the work done in NBS-5002Y Financial Accounting. It will deepen your understanding of the theory and practice of financial reporting. You look at some technical areas such as group accounts in more depth. The module will develop your technical skills. It is also an opportunity to question the practices of financial reporting; why are some things included and others excluded from the financial statements, in what other ways could transactions be reported, how do we measure transactions and why that way?




The aim of this module is to give students an introduction to the theory and practice of auditing. The emphasis is on the external audit of limited companies. The module also includes a discussion of current dilemmas and research in auditing, notably the audit expectations gap and audit regulation. It is designed as a specialist module for students on Accounting related degrees.




This module will give you experience of independent project work through the development of research and application involving a significant amount of computing science knowledge and skills, for example, in design/implementation of algorithms, software, or hardware systems. It will also provide, via the lecture programme, a primer on the law, ethical and professional behaviour, project management, reporting and other aspects of being a computer scientist. You will be allocated a supervisor and will be expected to work closely with him or her on a mutually agreed project. The project choice will normally take place in the summer preceding the module and will be based around a list of approved computer science projects provided by members of Faculty and, occasionally, external customers. If you want to work on your own project then this may be possible but you should discuss this with the module organiser at an early stage. You will have to undertake a number of formative assessments: a project proposal and a progress report to demonstrate your ability to plan and manage a substantial individual project, a literature review to start your research and an ethics quiz to demonstrate your understanding of ethical issues. Your summative assessments will take the form of a final report and a formal presentation that will enable you to demonstrate your overall achievement.




This module provides an introduction to the economics of financial markets. Financial economics is a technical module that involves the study of financial models that can model some part of the micro- or macro-economy. The module takes as its starting point that a crucial part in conducting such modelling accurately is that markets are efficient. The first part of the module introduces some key concepts, before immediately investigating the key question of whether markets are efficient: the Efficient Markets Hypothesis. The module then proceeds to cover the theory of consumer choice before proceeding to analyse various key models. The other key concept covered early in the module concerns the various ways risk can be measured including VaR and variance of return. Having provided a comprehensive analysis of these key concepts, the remainder of the module proceeds to cover mean-variance portfolio theory, single and multi-factor models of asset returns, the Capital Asset Pricing Model (CAPM), the Arbitrage Pricing Theory Model (APT). As well as focusing on the theory of these standard asset pricing models, students will learn how to conduct and evaluate statistical tests of these models. In the process students learn how economic theories are formulated and empirically tested. The module is suitable for those interested in a career within the financial sector or those interested in further study in financial economics. Essential Readings: Elton E, Gruber M, Brown S and Goetzman W (2011), "Modern Portfolio Theory and Investment Analysis", John Wiley, 8th edition Hull J.C. (2009), "Options, Futures and Derivatives", Prentice Hall, 7th edition Additional Reading: Brealey, Richard A., Stewart C. Myers and Franklin Allen (2008), Principles of Corporate Finance, 9th Edition, McGraw Hill Wilmott, Paul (2007), "Paul Wilmott introduces Quantitative Finance", 2nd edition, John Wiley




This is a technical finance unit aimed at students wishing to pursue careers in the financial sector. The focus will be on valuation and risk analysis of financial products and positions. The unit will be highly analytical, with weekly exercises and assessment balancing mathematical problems and practical exercises involving Excel. Topics covered will include: present value calculation; bond analysis; futures markets; interest rate futures and yield curve analysis; option pricing and hedging; exotic options; "Value at Risk" analysis and Monte-Carlo methods.




This module covers the core topics that dominate machine learning research: classification, clustering and reinforcement learning. We describe a variety of classification algorithms (e.g. Neural Networks, Decision Trees and Learning Classifier Systems) and clustering algorithms (e.g. k-NN and PAM) and discuss the practical implications of their application to real world problems. We then introduce reinforcement learning and the Q-learning problem and describe its application to control problems such as maze solving.




This module is about the theory and practice of personal and corporate taxation within the UK. The module includes an examination of current legal and professional taxation requirements. Whilst the module is primarily directed at the UK taxation system, aspects of International taxation will also be considered.




This module draws together a wide range of material and considers it in the context of developing modern large-scale computer systems. Topics such as Outsourcing, Process Improvement, System Failure, Project Management, Configuration Management, Maintainability, Legacy Systems and Re-engineering, Acceptance and Performance Testing, Metrics and Human Factors are covered in this module. The module is supported by a series of industrial case studies and includes speakers from industry.




Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules and regular (five-yearly) review of course programmes. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, there will normally be prior consultation of students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff or sabbatical leave. Where this is the case, the University will endeavour to inform students.

Entry Requirements

  • A Level AAB or ABBB including A in Mathematics
  • International Baccalaureate 33 points including one HL Mathematics at 6 and one other HL subject at 6
  • Scottish Advanced Highers AAB including A in Mathematics
  • Irish Leaving Certificate AAAABB including A in Mathematics or 4 subjects at H1 and 2 subjects at H2 including H1 in Mathematics
  • Access Course Pass the Access to HE Diploma with Distinction in 36 credits at Level 3 and Merit in 9 credits at Level 3, including 12 Level 3 credits in Mathematics
  • BTEC Only accepted alongside A level Mathematics
  • European Baccalaureate Overall 80% including 85% in Mathematics

Entry Requirement

Grade A or A* in A Level Mathematics or equivalent.

General Studies and Critical Thinking are not accepted.

You are required to have Mathematics and English Language at a minimum of Grade B or Grade 5 or above at GCSE.


UEA recognises that some students take a mixture of International Baccalaureate IB or International Baccalaureate Career-related Programme IBCP study rather than the full diploma, taking Higher levels in addition to A levels and/or BTEC qualifications. At UEA we do consider a combination of qualifications for entry, provided a minimum of three qualifications are taken at a higher Level. In addition some degree programmes require specific subjects at a higher level.

Students for whom English is a Foreign language

We welcome applications from students from all academic backgrounds. We require evidence of proficiency in English (including writing, speaking, listening and reading:

  • IELTS: 6.5 overall (minimum 6.0 in any component)

We also accept a number of other English language tests. Please click here to see our full list.

INTO University of East Anglia 

If you do not meet the academic and or English requirements for direct entry our partner, INTO University of East Anglia offers guaranteed progression on to this undergraduate degree upon successful completion of a preparation programme. Depending on your interests, and your qualifications you can take a variety of routes to this degree:

International Foundation in General Science FS1

International Foundation in Physical Sciences and Mathematics FS3

International Foundation in Mathematics with Actuarial Science FMA 


The majority of candidates will not be called for an interview and a decision will be made via UCAS Track. However, for some students an interview will be requested. You may be called for an interview to help the School of Study, and you, understand if the course is the right choice for you.  The interview will cover topics such as your current studies, reasons for choosing the course and your personal interests and extra-curricular activities.  Where an interview is required the Admissions Service will contact you directly to arrange a convenient time.

Gap Year

We welcome applications from students who have already taken or intend to take a gap year.  We believe that a year between school and university can be of substantial benefit. You are advised to indicate your reason for wishing to defer entry and to contact directly to discuss this further.


The School's annual intake is in September of each year.

Fees and Funding

Undergraduate University Fees and Financial Support: Home and EU Students

Tuition Fees

Please see our webpage for further information on the current amount of tuition fees payable for Home and EU students and for details of the support available.

Scholarships and Bursaries

We are committed to ensuring that costs do not act as a barrier to those aspiring to come to a world leading university and have developed a funding package to reward those with excellent qualifications and assist those from lower income backgrounds. 

Home/EU - The University of East Anglia offers a range of Bursaries and Scholarships.  To check if you are eligible please visit 


Undergraduate University Fees and Financial Support: International Students

Tuition Fees

Please see our webpage for further information on the current amount of tuition fees payable for International Students.


We offer a range of Scholarships for International Students – please see our website for further information.


How to Apply

How to Apply

Applications need to be made via the Universities Colleges and Admissions Services (UCAS), using the UCAS Apply option.

UCAS Apply is a secure online application system that allows you to apply for full-time Undergraduate courses at universities and colleges in the United Kingdom. It is made up of different sections that you need to complete. Your application does not have to be completed all at once. The system allows you to leave a section partially completed so you can return to it later and add to or edit any information you have entered. Once your application is complete, it must be sent to UCAS so that they can process it and send it to your chosen universities and colleges.

The UCAS code name and number for the University of East Anglia is EANGL E14.

Further Information

If you would like to discuss your individual circumstances with the Admissions Office prior to applying please do contact us:

Undergraduate Admissions Office

Tel: +44 (0)1603 591515

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