BSc Actuarial Sciences

Full Time
Degree of Bachelor of Science

UCAS Course Code
A-Level typical
ABB (2019/0 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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Find out what it’s like to study Actuarial Sciences at UEA.

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Key facts

Key facts

Gain exemptions from the CM1, CM2, CS1, CS2, CB1 and CB2 professional exams set by the Institute and Faculty of Actuaries.

Study the art of risk: measuring it, assessing it, managing it, mitigating it – and sometimes profiting from it.

Crossing the road, making a cup of tea, flying on holiday, starting a new business: nearly everything in life encompasses an element of risk. And to an Actuary, risk is everything. If you’re strong on mathematics and have an interest in business and economics, are fascinated by world events and not afraid to take an educated gamble, a career in this small but growing (and pretty lucrative) profession could be ideal.

Our Actuarial Science degree will teach you how to look to the future from a business perspective, assess any likely impact, then put a price on mitigating any risk. And, due to our strong links with industry, you’ll have opportunities to put the theory into practice.

Actuarial Science is exciting, challenging and stimulating – and its skillsets are in increasingly high demand.


If you have a love of mathematics and business but want to work with them in a more applied field, Actuarial Science is a great choice. As well as becoming a professional Actuary, it opens up doors to broader fields including data science and risk management.

Our multidisciplinary Actuarial Science degree course brings together UEA’s Schools of Mathematics, Computing Sciences and Economics, along with the expertise of practising Actuaries.

You’ll develop core skills across mathematics, statistics and finance, and each year you’ll have the option to choose a traditional actuarial module or, if you’re thinking about specialising in data science, you’ll be able focus on developing additional computing skills. Plus, we’ll help you hone the communication and presentation skills essential to any graduate entering the financial sector.

Our strong links with industry mean you’ll have unique opportunities to see theory put into practice, and our syllabus includes guest lectures from working professionals, such as experts from Aviva. What’s more, you’ll have the opportunity to gain exemptions from the professional examinations set by the Institute & Faculty of Actuaries, so you could graduate one step ahead of your competition.

Course Structure

You’ll commence this three-year degree by further developing your knowledge of mathematics, computing, economics and business. Each year you’ll have the option to choose a traditional actuarial module, or if you’re thinking about specialising in data science, you’ll be able to focus on developing additional computing skills. Plus we’ll help you hone the communication and presentation skills essential to anyone entering the financial sector.

Year 1

Compulsory modules in the first year provide you with a clear understanding of mathematics, computing and problem solving. You’ll build on and develop your pre-existing knowledge and start developing your awareness and understanding of actuarial mathematics, as well as acquiring some practical modelling skills. Options in year one allow you to choose between a skills-based module, taught in partnership with practicing actuaries, and an additional computing module, designed to develop your data science skills.

Year 2

In the second year you’ll be introduced to specific actuarial themes and taught about business in the context of the actuarial profession. Optional modules offer you the choice between ‘Financial Accounting for Actuaries’, which is included in the accreditation agreement, and a computing science module. So, once again, you can tailor your programme to a more traditional actuarial science degree, or to one with a broader set of computing skills.

Year 3

In your final year you’ll be able to focus on developing your advance knowledge of statistics, mathematics and professional actuarial practise. You’ll also be given the option to complete a dissertation, as well as a module taught in partnership with practising actuaries. Alternatively, if computer science is your preferred area of focus, you could choose to further develop these skills.

Teaching and Learning

The Actuarial Science degree at UEA is taught through a combination of lectures, classes, seminars and lab work. Our lab work, classes and seminars are particularly crucial to your degree programme, as they are where we’ll reinforce and expand on the material covered in the lectures.

We also offer specialist actuarial modules, which are usually taught by qualified actuaries in a classroom environment, providing you with plenty of interactivity and real world examples.

Independent study

Your formal teaching on the course will be complemented with individual study. You’ll be set formative work to complete between lectures and within classes, seminars and lab work, helping cement your understanding of new material.

Learning to study independently is a key skill for all aspiring Actuaries and is something that will be developed gradually throughout the programme as your confidence grows.


We employ a range of assessment methods throughout the course, including, examinations, written assignments, class tests, problem sheets, group work and presentations to a variety of audiences.

We adapt how and when we assess you in accordance with each module’s content and objectives, however most modules will feature a combination of coursework and exams.

Optional Study abroad or Placement Year

You could also choose the BSc Actuarial Sciences with a Year in Industry and spend a year in the workplace.It will not only give you first-hand knowledge of the way in which your chosen field operates, it will also greatly improve your chances of progressing within that sector thanks to the relevant work experience, valuable contacts and real-world insight you’ll gain.

After the course

On successful completion of our Actuarial Science degree, your academic performance could earn you exemptions to the professional actuarial examinations set by the Institute & Faculty of Actuaries. This means that on graduation, subject to reaching a certain level of academic performance, you will be entitled to exemptions from CM1 &2, CS1&2 CB1 &2. If you achieve a good degree class, you can expect to be fully-qualified within two or three years.

Beyond becoming a professional Actuary, you could choose to pursue a stimulating and influential career in a wide range of sectors, including business, insurance, pensions, banking, accounting and other financial services.

Career destinations

Examples of careers that you could enter include:

  • Actuary
  • Banking and finance
  • Data scientist
  • Risk manager
  • Investment manager
  • Financial modeler

Course related costs

Students are strongly encouraged to purchase recommended texts for the actuarial modules as well as a copy of the ‘Formulae and Tables for Examinations of the Faculty of Actuaries and the Institute of Actuaries’. Both can be purchased via the School at a discounted price at the start of each academic year.

Please see Additional Course Fees for details of other course-related costs.


This course is accredited by the Institute and Faculty of Actuaries (IFoA).

By studying an accredited degree course means that you may be eligible for exemptions from some of the IFoA’s professional exams. This will depend on the modules you take and the grades you obtain. For a current list of exemptions please visit the IFoA’s website

Course Modules 2019/0

Students must study the following modules for 100 credits:

Name Code Credits


In this module, you will explore: (a) Complex numbers. (b) Vectors. (c) Differentiation; power series. (d) Integration: applications, curve sketching, area, arc-length. (e) First and 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.




By taking this module you will learn an introduction to core economic theory and principles in a business context. You will learn about both basic microeconomic and macroeconomic theory which will ensure you gain the ability to understand and analyse current economic issues with relevance for business.




You will learn introductory material relating to financial maths such as 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 understand the likelihood of multiple events happening together and therefore to rational decision-making. This module will give you an introduction to the modern theory of probability developed from the seminal works of the Russian mathematician A.N. Kolmogorov in 1930s. Kolmogorov's axiomatic theory describes the outcomes (events) of a random experiment as mathematical sets. Using set theory language you will be introduced to the concept of random variables, and consider different examples of discrete random variables (like binomial, geometric and Poisson random variables) and continuous random variables (like the normal random variable). In the last part of the module you will explore two applications of probability: reliability theory and Markov chains. Aside of the standard lectures and workshop sessions, there will be two computer-lab sessions of (2 hours each) where you will apply probability theory to specific everyday life case studies. The only pre-requisites for this module are a basic knowledge of set theory and of calculus that you would have acquired during the Autumn semester. If you have done probability or statistic at A-level you will rediscover its contents now taught using a proper and more elegant mathematical formalism.




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

Applied Statistics

This module considers both the theory and practice of statistical modelling of time series. Students will be expected to analyse real data using R.




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.




THIS MODULE WILL NOT BE AVAILABLE UNTIL 2020/21. This is a module designed to give students the opportunity to apply linear regression techniques using R. 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 provide an introduction to R and then provide the specifics in linear regression.




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 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 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


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 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-5031Y, Contingencies, will enable students choosing to follow an actuarial career to gain an exemption from CT5.




This module covers Linear and Generalised Linear models. It covers both the theory and practice of statistical model fitting and students will be expected to analyse real data using R.




NOT AVAILABLE UNTIL 2020/1. This module covers stochastic processes - including the random walk, Markov chains, Poisson processes, and birth and death processes.



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 taking this module you 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 the necessary basic financial accounting skills/knowledge required by 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.




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.

Further Reading

  • UEA Award

    Develop your skills, build a strong CV and focus your extra-curricular activities while studying with our employer-valued UEA award.

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  • Scholarship

    The UEA Actuarial Science Scholarship is available for 2019 entry for those achieving AAB with A in A level Maths (or equivalent qualifications)

    Read it Scholarship
  • Ask a Student

    This is your chance to ask UEA's students about UEA, university life, Norwich and anything else you would like an answer to.

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  • University Taster Events

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Entry Requirements

  • A Level ABB including grade A in Mathematics
  • International Baccalaureate 32 points including HL6 in Mathematics
  • Scottish Advanced Highers BCC including grade B in Mathematics
  • Irish Leaving Certificate 3 subjects at H2 including Mathematics and 3 subjects at H3.
  • Access Course Pass the Access to HE Diploma with Distinction in 30 credits at Level 3 including 12 credits in Maths and Merit in 15 credits at Level 3
  • BTEC DDM acceptable in an IT or Science-based subject alongside grade A in A-level Mathematics. Excludes Public Services on its own
  • European Baccalaureate 75% overall including 85% in Mathematics

Entry Requirement

Science A-levels must include a pass in the practical element.

A-Level General Studies and Critical Thinking are not accepted.

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

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 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

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

Please complete our Online Enquiry Form to request a prospectus and to be kept up to date with news and events at the University. 

Tel: +44 (0)1603 591515



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