BSc Actuarial Sciences

Full Time
Degree of Bachelor of Science

UCAS Course Code
A-Level typical
AAB (2018/9 entry) See All Requirements
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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. We focus on preparing and supporting you for a secure, in demand and well-paid career path. With strong links with Aviva, we provide you with a unique opportunity to gain tuition, experience and employment from the best in the industry.

You will be taught by expert academics from the Schools of Computing Sciences, Mathematics and Economics, 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.


The BSc Actuarial Sciences degree is aimed at students who wish to become professional actuaries and who are passionate about mathematics, economics and problem solving. The degree programme covers current issues in Mathematics, Computing, Finance and Business, as well as providing a thorough theoretical background of these areas.

This multidisciplinary programme combines the expertise of the School of Computing Sciences, School of Mathematics and the School of Economics. Additional teaching comes through our strong links with industry, and includes tuition from practicing actuaries from Aviva at their headquarters. 

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 and helping you to develop valuable communication and presentation skills. The course also gives you the opportunity to gain exemptions from the first eight professional examinations set by the UK Actuarial Profession (CT1-CT8, so that you are able to qualify as a professional actuary far more swiftly after successfully graduating.

Course Structure

This three year course will begin by developing your knowledge in areas including mathematics, computing, economics and business. Each year includes an optional module which allows you to pursue your own specialist interests. 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 ‘An Introduction to Financial Maths’ that will begin to develop your awareness and understanding of actuarial practice as well as developing some practical modelling skills.  The optional module in year 1 offers you the choice between ‘Actuarial Skills 1’ which is taught in partnership with Aviva and ‘Database Systems’ which offers students the opportunity to further develop skills that would be useful for those students looking to work in the area of data science.

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.  The optional module in year 2 offers you the choice between ‘Financial Accounting for Actuaries’ which is included in the accreditation agreement and ‘Programming for non-specialists’,once again allowing students the opportunity to tailor their programme to either the more traditional actuarial science degree or one with a broader set of computing skills.

Year 3

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.  The final year allows students the option to complete a dissertation as well as a further module taught in partnership with Aviva or alternatively to develop further computer science skills by taking ‘Information retrieval’.

Course Modules 2018/9

Students must study the following modules for 100 credits:

Name Code Credits


This module contains: (a) Complex numbers. (b) Vectors. (c) Differentiation, Taylor series and Maclaurin series. (d) Integration: applications, curve sketching, area, arc-length. (e) First-order, second-order, constant-coefficient ordinary differential equations. Reduction of order. Numerical solutions using MAPLE. Partial derivatives, chain rule. (f) Line integrals. Multiple integrals, including change of coordinates by Jacobians. Green's Theorem in the plane. (Students must have A-level Mathematics Grade 'B' or above, or equivalent.)




This module provides you 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 you with the ability to understand and analyse current and topical economic issues with relevance for business. This module is for students who do not have an A-level (or equivalent) at grade B or above in Economics. Students who have an Economics A-level (or equivalent) at grade B or above must take NBS-4009Y.




In taking this module you will learn introductory material relating to financial maths e.g. present values, accumulations, annuities. You will also get an introduction to spreadsheet skills for actuaries as well as some discrete maths material in preparation for later modules.




Probability is the study of the chance of events occurring. It has important applications to understanding the likelihood of multiple events happening together and therefore to rational decision-making. In the first part of this module, you will start by studying probability as a measurement of uncertainty, and looking at statistical experiments and Bayes' theorem. You will then consider both discrete and continuous probability distributions and the concept of expectation. Finally you will consider applications of probability, including Markov chains and reliability theory.




In this module you will be introduced to some of the tools used for web development. You will then build a substantial dynamic web site using HTML, CSS, Javascript and a high level language. An understanding of the underlying mechanisms of the technologies used in the Internet and World Wide Web is essential for any computing science student. Therefore, in the latter part of the module you will learn about these technologies and undertake a practical approach to exploring them. You will learn about issues of information systems security at all stages but also in dedicated sessions. In the final element of the module you will study multi-media issues in web based systems.



Students will select 20 credits from the following modules:

Name Code Credits


In taking this module, in addition to classes led by UEA academics, you will have contact with practicing actuaries. You will develop a good understand of the traditional areas in which actuaries work. You will also begin to develop and practice communication skills, particularly those related to future employment. You will be given the opportunity to identify the skills you already have and to consider how you can develop further relevant skills.




This module is based on the relational model and will introduce you to important aspects of databases, database manipulation and database management systems. You will explore the tools and methods for database design and manipulation as well as the programming of database applications. You will use a modern relational database management system to gain practical experience. You will also develop programming experience using SQL, and using a high level programming language to write applications that access the database.



Students must study the following modules for 100 credits:

Name Code Credits


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 teach the R statistical language and to cover 3 topics: Linear regression, ANOVA, and Survival Analysis.




You'll gain a good grounding in the mathematical techniques which can be used to model and value cash flows dependent on death, survival or other uncertain risks. You will study the statistics associated with various life assurance contracts and the calculation of their premiums and reserves. You will also develop further your financial modelling skills by focusing on understanding the importance of an audit trail and including good model documentation.




This module builds on the mathematical fundamentals introduced in year 1 and covers both Differential Equations and Linear Algebra. You'll develop the pre-requisite mathematical skills for Actuarial Methods and Models, and Advanced Statistics. In Differential Equations you will develop skills for solving both Ordinary Differential Equations and Partial Differential Equations by a variety of techniques. For Ordinary Differential Equations the methods include series solutions and the method of Frobenius. Fourier series are introduced and utilised when solving Partial Differential Equations by separation of variables. In Linear Algebra you will develop skills in the algebra of matrices, including: Matrix operations, linear equations, determinants, eigenvalues and eigenvectors, diagonalization and geometric aspects.




In taking this module you will build on the fundamentals of compound interest introduced in the first year of the course. You will learn how the key concepts introduced can be used in practical financial applications for actuaries.




Learn the essential concepts of mathematical statistics, deriving the necessary distribution theory as required. Additionally, you'll explore ideas of sampling and central limit theorem, covering estimation methods and hypothesis-testing, with the introduction of some Bayesian ideas.



Students will select 20 credits from the following modules:

If students elect to take optional modules associated with IFoA Exemptions (i.e. in Year 2, CMP-5040Y), they will be required to pass these modules as they are designated core.

Name Code Credits


In taking this module you will learn the necessary basic financial accounting skills/knowledge required by Actuaries.




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



Students must study the following modules for 60 credits:

Name Code Credits


In taking this module you will gain a further grounding in mathematical and statistical techniques of relevance to financial work including a grounding in stochastic processes and survival models and their applications. You will learn about risk models involving frequency and severity distributions and the concept of ruin. You will also examine the use of Bayesian statistics to derive credibility premiums and the techniques for analysing "run-off" triangles in general insurance.




This module covers two topics in statistical theory: Linear and Generalised Linear models and also includes Stochastic processes. The first two topics consider both the theory and practice of statistical model fitting and students will be expected to analyse real data using R. Stochastic processes including the random walk, Markov chains, Poisson processes, and birth and death processes.




THIS MODULE DOES NOT RUN UNTIL 2019/20. In taking this module you will further your knowledge of the mathematical techniques which can be used to model and value cash flows dependent on death, survival or other uncertain risks. You will study the statistics associated with various life assurance contracts and the calculation of their premiums and reserves. You will learn how to model/value joint life products and consider the handling of products which involve multiple states/decrements. In addition to this you will learn how insurance companies profit test their products and will gain a greater understanding as to how different factors affect the mortality experience of a life. You will also further develop your financial modelling skills and written communication skills as you will learn about how best to present results of a financial model and will further develop your excel skills by applying this knowledge to model 'further contingencies' problems in a spreadsheet environment.



Students will select 60 credits from the following modules:

If students elect to take optional modules associated with IoFA Exemptions (i.e. in Year 3, CMP-6032B and CMP-6035A), they will be required to pass these modules as they are designated core.

Name Code Credits


In this module we will further develop the employability skills necessary for an Actuarial/financial trainee. You will receive teaching from practicing actuaries, which will focus on preparing you for the real world i.e. with a focus on 'hot topics', developing communication and presentation skills and the professional responsibilities of actuaries.




In taking this module you will learn about both asset pricing and portfolio management.




This is a technical finance module and ideal if you are wishing to pursue a career in the financial sector. The focus will be on derivatives valuation and hedging. The unit will be highly analytical, with seminar sessions held in computer labs. Topics covered will include: bonds; futures/ forwards; options; swaps; hedging; VaR; continuous time stochastic processes and calculus; and stochastic models of security prices.




In this module you will learn about the development of the technologies which are the basis of search on the Web. Search engine development has been driven by large increases in online documents and the need to provide better results. You will learn about a range of techniques for improving search results and how to evaluate their impact.




This module will give you experience of independent project work and, via the lecture programme, will provide a primer on the law, ethical and professional behaviour, project management, reporting and other aspects of being a statistician. You will be allocated a supervisor and will be expected to work closely with him or her on a mutually agreed project.




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 Systems Thinking, Casual Loop Diagrams, Systems Failure, Outsourcing, Quality, Risk Management, Measurement, Project Management, Software Process Improvement, Configuration Management, Maintainability, Testing, and Peopleware are covered in this module. The module is supported by well documented case studies and includes guest 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. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will endeavour to inform students.

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Entry Requirements

  • A Level AAB including Mathematics at grade A. All science A levels must include a pass in the practical element
  • International Baccalaureate 33 points including one HL Mathematics at 6 and one other HL subject at 6
  • Scottish Highers Only acceptable in combination with Advanced Highers
  • Scottish Advanced Highers BBC including Mathematics at grade B. A combination of Advanced Highers and Highers might be acceptable
  • Irish Leaving Certificate AAAABB including A in Mathematics or four subjects at H1 and two subjects at H2 with 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 at Distinction. Science pathway required,
  • BTEC Only accepted alongside A level Mathematics
  • European Baccalaureate Overall 80% including 85% in Mathematics

Entry Requirement

GCSE Requirements: GCSE English Language grade 4 or C and GCSE Mathematics grade 4 or C.

General Studies and Critical Thinking are not accepted

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 speaking, listening, reading and writing) at the following level:

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

We will also accept a number of other English language qualifications. Review our English Language Equivalences here.

INTO University of East Anglia 

If you do not meet the academic and/or English language requirements for this course, our partner INTO UEA offers guaranteed progression on to this undergraduate degree upon successful completion of a foundation programme. Depending on your interests and your qualifications you can take a variety of routes to this degree:


The majority of candidates will not be called for an interview. However, for some students an interview will be requested. These are normally quite informal and generally cover topics such as your current studies, reasons for choosing the course and your personal interests and extra-curricular activities.

Gap Year

We welcome applications from students who have already taken or intend to take a gap year, believing 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 may wish to contact the appropriate Admissions Office directly to discuss this further.


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

Alternative Qualifications

We encourage you to apply if you have alternative qualifications equivalent to our stated entry requirement. Please contact us for further information.


Fees and Funding

Undergraduate University Fees and Financial Support

Tuition Fees

Information on tuition fees can be found here:

UK students

EU Students

Overseas Students

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. 

The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates.

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

    Next Steps

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    Admissions enquiries: or
    telephone +44 (0)1603 591515