BSc Actuarial Science


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 practicing actuaries. You’ll develop core skills in 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 and Faculty of Actuaries, so you could graduate one step ahead of your competition.

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.

Course Structure

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 1 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 advanced knowledge of statistics, mathematics and professional actuarial practice. You’ll also be given the option to complete a dissertation, as well as a module taught in partnership with practicing actuaries. Alternatively, if computer science is your preferred area of focus, you can 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 to cement your understanding of new material. Learning to study independently is a key skill for all aspiring actuaries. It 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 feature a combination of coursework and exams.

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. Not only will it 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 and 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 and 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 modeller

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. These 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). 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 achieve. For a current list of exemptions please visit the IFoA’s website.


Course Modules 2020/1

Students must study the following modules for 80 credits:

Name Code Credits


In this module you will study: (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.



Students will select 20 credits from the following modules:

Name Code Credits


Introductory Programming introduces a number of programming concepts to students at the start of their programming careers, using a modern programming language common to many digital industries. We structure learning through lectures, delivering core materials, and tutor supported exercises to reinforce learning, and to prepare students for programming in their following studies. At the end of the module, students will be able to apply key programming concepts to financial problems relevant to their courses.




In this module you will be introduced to current Web technologies, security and a range of tools used for Web development and to use them to gain experience in designing and building web applications.



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


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 is a module designed to give you the opportunity to apply linear regression techniques using R. While no advanced knowledge of probability and statistics is required, we expect you 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.




This module 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.




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



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.




In this module you will study the key concepts, processes, techniques in the data science workflow. There will be coverage of data collection, storage, key statistical and machine learning techniques, and presenting the results of analyses.



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.




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.




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.




THIS MODULE WILL NOT RUN UNTIL 2021/2. 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 IFoA 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.




This module explores modern portfolio theory and asset pricing, behavioural finance, and the efficient markets hypothesis. You'll examine modern equilibrium asset pricing models, which in turn build upon the concepts of portfolio theory. You'll be introduced to the Capital Asset Pricing Model (CAPM) and discuss approximations and extensions, including the Single Index model and various factor models such as the recent Fama-French (2015) 5-factor model. Key concepts will be illustrated through lectures and seminars, using numerous real-world examples in Excel.




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 risk management via the use of derivatives. 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 together 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, Causal 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.



Important Information

The University makes every effort to ensure that the information within its course finder is accurate and up-to-date. Occasionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include a change of law or regulatory requirements, industrial action, lack of demand, departure of key personnel, change in government policy, or withdrawal/reduction of funding. Changes may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, informing students and will also keep prospective students informed appropriately by updating our course information within our course finder.

In light of the current situation relating to Covid-19, we are in the process of reviewing all courses for 2020 entry with adjustments to course information being made where required to ensure the safety of students and staff, and to meet government guidance.

Further Reading

  • 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)

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  • Ask a Student

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Entry Requirements

  • A Level ABB including Mathematics grade A. Science A-levels must include a pass in the practical element.
  • International Baccalaureate 32 points with HL 6 in Mathematics: Analysis and Approaches.
  • Scottish Advanced Highers BCC including Mathematics grade B.
  • 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 Level 3 credits in Mathematics and Merit in 15 credits at Level 3
  • BTEC DDM in IT, Science based or Business alongside grade A A-Level Mathematics. Excludes BTEC Public Services, BTEC Uniformed Services and BTEC Business Administration
  • European Baccalaureate 75% overall including 85% in Mathematics.

Entry Requirement

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

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

You are required to have English Language at a minimum of Grade C/4 or above and Mathematics at Grade C/4 or above at GCSE.

If you do not meet the academic requirements for direct entry, you may be interested in one of our Foundation Year programmes.

 BSc Computing Science with a Foundation Year (G414)

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 5.5 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 yet meet the English language requirements for this course, INTO UEA offer a variety of English language programmes which are designed to help you develop the English skills necessary for successful undergraduate study:

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: 


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 on your UCAS application.


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

Alternative Qualifications

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.


GCSE Offer

You are required to have Mathematics at a minimum Grade C/4 or above and English Language at a minimum of Grade C/4 or above at GCSE.

Course Open To

UK and Overseas applicants.

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



    Next Steps

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