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Overview

The details

Course: Statistics

UCAS code: 9K12

Start date: October 2025

Study mode: Full-time

Duration: 3 years

Location: Colchester Campus

Based in: Mathematics, Statistics and Actuarial Science (School of)

Data is everywhere, and our BSc Statistics course combines a well-rounded mathematical core with specialist modules in statistics and data analysis, giving you a solid foundation for practical problem-solving in all sorts of areas.

Topics on this course include:

pure and applied mathematics, including calculus, algebra and differential equations
theory and practical techniques for modelling, visualising and analysing statistical data
computational methods, including coding in Python, SQL, MATLAB and the R statistical programming language

This mix of mathematical and statistical skills strikes a balance between fundamental theory and practical applications, giving you the potential to apply your knowledge in areas as diverse as finance, economics, government, medicine, biology, marketing and social media. All our degrees feature an employability component in every year of study, explicitly training sought-after skills and incorporating careers day events and seminars from speakers in industry.

Professional accreditation

This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.

Why we're great.

We’re ranked 25th in UK for mathematics (The Guardian University Guide 2025).
We are continually broadening the array of expertise, letting you tailor your degree to your interests.
We coordinate mathematics and statistics support for universities within the Eastern region of the UK.

Study abroad

Your education extends beyond the university campus. We support you in expanding your education through offering the opportunity to spend a year or a term studying abroad at one of our partner universities. The four-year version of our degree allows you to spend the third year abroad or employed on a placement abroad, while otherwise remaining identical to the three-year course.

Studying abroad allows you to experience other cultures and languages, to broaden your degree socially and academically, and to demonstrate to employers that you are mature, adaptable, and organised.

If you spend a full year abroad you'll only pay 15% of your usual tuition fee to Essex for that year. You won't pay any tuition fees to your host university.

Placement year

Alternatively, you can spend your third year on a placement year with an external organisation. This is usually focussed around your course, and enables you to learn about a particular sector, company or job role, apply your academic knowledge in a practical working environment, and receive inspiration for future career pathways.

If you complete a placement year you'll only pay 20% of your usual tuition fee to Essex for that year.

Our expert staff

As well as being world-class academics, our staff are award-winning teachers. Many of our academics have won national or regional awards for lecturing, and many of them are qualified and accredited teachers – something which is very rare at a university.

Our School of Mathematics, Statistics and Actuarial Science is committed to providing you with the academic support you need to succeed. Our flexible policy means some staff are always available, whilst others maintain regular drop-in times. Staff are always happy to arrange appointments for longer discussions, and no issue is too big or too small.

Our innovative research groups are working on a broad range of collaborative areas tackling real-world issues.

Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
We do practical research with financial data (for example, assessing the risk of collapse of the UK's banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects' and ‘Searching for gems in the landscape of cyclically presented groups'.
We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs' of modern education, which are critical thinking, communication, collaboration, and creativity.

Specialist facilities

In addition to teaching, we have a Maths Support Centre which offers help to students on a range of mathematical problems. Throughout term time, we can chat through mathematical problems either on a one-to-one or small group basis.
We have a dedicated social and study space for maths students, situated in the STEM Centre.
We host regular events and seminars throughout the year.
Our students run a lively Mathematics Society, an active and social group where you can explore your interest in your subject with other students

Your future

Clear thinkers are required in every profession, so the successful statistician has an extensive choice of potential careers.

Statistics graduates are highly employable in a wide range of places, working in business, pharmaceutical industries, banking and computing among others. The Royal Statistical Society offers further information on careers in statistics.

Our recent graduates have gone on to work for a wide range of high-profile companies including:

KPMG
British Arab Commercial Bank
Johal and Company

We also work with our University's Student Development Team to help you find out about further work experience, internships, placements, and voluntary opportunities.

“After graduating I spent couple of weeks travelling around Europe and then started work at KPMG Malaysia where I’m part of the consulting team, specifically working on IT transformation. My role involves assessing an organisation’s IT landscape to identify the gaps and recommend best practices for improvement. Thanks to Essex I gained skills in data visualisation and data analytics using R which help me better understand data management and transformation that contribute to my work.”

Intan Zurainie Ismail, BSc Statistics, 2017

Entry requirements

Clearing entry requirements

We currently have places available in Clearing across a range of our courses with most offers at BBC-CCD (112 – 88 UCAS tariff points) or equivalent. We consider each application individually and requirements may be lower for some of our courses, so please get in touch if your grades are below those outlined here.

English language requirements

English language requirements for applicants whose first language is not English: IELTS 6.0 overall, or specified score in another equivalent test that we accept.

Details of English language requirements, including component scores, and the tests we accept for applicants who require a Student visa (excluding Nationals of Majority English Speaking Countries) can be found here

If we accept the English component of an international qualification it will be included in the academic levels listed above for the relevant countries.

English language shelf-life

Most English language qualifications have a validity period of 5 years. The validity period of Pearson Test of English, TOEFL and CBSE or CISCE English is 2 years.

If you require a Student visa to study in the UK please see our immigration webpages for the latest Home Office guidance on English language qualifications.

Pre-sessional English courses

If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.

Pending English language qualifications

You don’t need to achieve the required level before making your application, but it will be one of the conditions of your offer.

If you cannot find the qualification that you have achieved or are pending, then please email ugquery@essex.ac.uk .

Requirements for second and final year entry

Different requirements apply for second and final year entry, and specified component grades are also required for applicants who require a visa to study in the UK. Details of English language requirements, including UK Visas and Immigration minimum component scores, and the tests we accept for applicants who require a Student visa (excluding Nationals of Majority English Speaking Countries) can be found here

Additional Notes

If you’re an international student, but do not meet the English language or academic requirements for direct admission to this degree, you could prepare and gain entry through a pathway course. Find out more about opportunities available to you at the University of Essex International College

Structure

Course structure

Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The following modules are based on the current course structure and may change in response to new curriculum developments and innovation.

We understand that deciding where and what to study is a very important decision for you. We'll make all reasonable efforts to provide you with the courses, services and facilities as described on our website and in line with your contract with us. However, if we need to make material changes, for example due to significant disruption, we'll let our applicants and students know as soon as possible.

Components and modules explained

Components

Components are the blocks of study that make up your course. A component may have a set module which you must study, or a number of modules from which you can choose.

Each component has a status and carries a certain number of credits towards your qualification.

Status	What this means
Core	You must take the set module for this component and you must pass. No failure can be permitted.
Core with Options	You can choose which module to study from the available options for this component but you must pass. No failure can be permitted.
Compulsory	You must take the set module for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.
Compulsory with Options	You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.
Optional	You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.

The modules that are available for you to choose for each component will depend on several factors, including which modules you have chosen for other components, which modules you have completed in previous years of your course, and which term the module is taught in.

Modules

Modules are the individual units of study for your course. Each module has its own set of learning outcomes and assessment criteria and also carries a certain number of credits.

In most cases you will study one module per component, but in some cases you may need to study more than one module. For example, a 30-credit component may comprise of either one 30-credit module, or two 15-credit modules, depending on the options available.

Modules may be taught at different times of the year and by a different department or school to the one your course is primarily based in. You can find this information from the module code. For example, the module code HR100-4-FY means:

100

The department or school the module will be taught by.

In this example, the module would be taught by the Department of History.

The module number.

The UK academic level of the module.

A standard undergraduate course will comprise of level 4, 5 and 6 modules - increasing as you progress through the course.

A standard postgraduate taught course will comprise of level 7 modules.

A postgraduate research degree is a level 8 qualification.

The term the module will be taught in.

AU: Autumn term
SP: Spring term
SU: Summer term
FY: Full year
AP: Autumn and Spring terms
PS: Spring and Summer terms
AS: Autumn and Summer terms

COMPONENT 01: CORE

Calculus

(30 CREDITS)

This module will allow you to build your knowledge of differentiation and integration, how you can solve first and second order differential equations, Taylor Series and more.

View Calculus on our Module Directory

COMPONENT 02: CORE

Matrices and Complex Numbers

(15 CREDITS)

Matrices and complex numbers are two fundamental concepts which arise throughout mathematics. In this module you will be introduced to these objects and learn fundamental techniques for working with them in a variety of contexts.

View Matrices and Complex Numbers on our Module Directory

COMPONENT 03: CORE

Statistics I

(15 CREDITS)

In this module you will learn the fundamentals of probability and statistics, including axioms and combinatorial analysis, distributions, and independence conditions. You will learn how to apply the addition rule of probability and construct diagrams to visually represent data sets. The course also covers the use of descriptive statistics to analyse data and provides hands-on experience with the R software package.

View Statistics I on our Module Directory

COMPONENT 04: COMPULSORY

Introduction to Finance

(15 CREDITS)

Introduction to Finance is designed to give you an introduction to the wider finance subject area ass well as firm foundation for further studies in finance. You’ll gain a overview of the financial system, instruments and markets, and ideas about finance concepts and problems. The topics covered include investment companies, return and risk, and behavioural finance. You’ll develop and be able to transmit knowledge about the financial system, instruments and markets and ideas about finance concepts and problems at an introductory level; be aware of, at an introductory level, different ways of thinking about and analysing financial phenomena; and, reflecting the principles of how we approach Finance at Essex Business School, you’ll gain an appreciation of the role that finance plays in society as whole.

View Introduction to Finance on our Module Directory

COMPONENT 05: COMPULSORY

Mathematical and Computational Modelling

(15 CREDITS)

This module introduces programming skills and their applications in a range of mathematical contexts. Mathematical modelling skills will be an important focus, along with structuring and implementing code in MATLAB and R. To help you consolidate these skills, a key part of the module will be investigative computational modelling studies.

View Mathematical and Computational Modelling on our Module Directory

COMPONENT 06: COMPULSORY

Discrete Mathematics

(15 CREDITS)

This module will provide you with a foundation of knowledge on the mathematics of sets and relations. You will develop an appreciation of mathematical proof techniques, including proof by induction.

View Discrete Mathematics on our Module Directory

COMPONENT 07: COMPULSORY

Programming and Text Analytics with R

(15 CREDITS)

This module will introduce you to the underlying principles and basic concepts of programming with the R language. It will cover a wide range of analytics, provide practical experience of powerful R tools, and present real-world examples of how data and analytics are used to gain insights and to improve a business or industry. These examples include string processing, text analytics, and sentiment analysis. Throughout these examples, and many more, we will teach programming techniques that will enable you to apply advanced data science approaches to real-world applications. This module assumes no prior programming skills.

View Programming and Text Analytics with R on our Module Directory

COMPONENT 08: COMPULSORY

Mathematics Careers and Employability

(0 CREDITS)

What skills do you need to succeed during your studies? What about after university? How will you harness your knowledge and soft skills to realise your career goals? This module helps you take an active role in developing transferrable skills and capitalising on your unique background. As well as broad reflection on your professional development, this module will help you explore different career directions and prepare you for the application process, supported by an advisor from within the department.

View Mathematics Careers and Employability on our Module Directory

COMPONENT 01: CORE

Statistics II

(15 CREDITS)

This module continues your journey into probability and statistics. Topics include distribution theory, estimation and Maximum Likelihood estimators, hypothesis testing, basic linear regression and multiple linear regression. You will continue to develop your skills with implementations in R.

View Statistics II on our Module Directory

COMPONENT 02: COMPULSORY

Linear Algebra

(15 CREDITS)

Linear systems are some of the most widely-applied concepts in modern algebra. Beginning with the abstract axiomatic definitions of vectors, vector spaces and linear maps, this module allows you to derive powerful methods for understanding many different systems in mathematics and science.

View Linear Algebra on our Module Directory

COMPONENT 03: COMPULSORY

Survival Analysis

(15 CREDITS)

What are the principles of actuarial modelling? And what are survival models? Examine how calculations in clinical trials, pensions, and life and health insurance require reliable estimates of transition intensities/survival rates. Learn how to estimate these intensities. Build your understanding of estimation procedures for lifetime distributions.

View Survival Analysis on our Module Directory

COMPONENT 04: COMPULSORY

Real Analysis

(15 CREDITS)

How do we rigorously discuss notions of infinity and the infinitely small? When do limits and derivatives of functions make sense? This module introduces the mathematics underlying modern calculus. Fundamental theorems are proved about sets, sequences and series of real numbers, and about continuous and differentiable functions of a single real variable.

View Real Analysis on our Module Directory

COMPONENT 05: COMPULSORY

Optimisation (Linear Programming)

(15 CREDITS)

Are you able to solve a small linear programming problem using an appropriate version of the Simplex Algorithm? Learn to formulate an appropriate linear programming model and use the MATLAB computer package to solve linear programming problems. Understand the methods of linear programming, including both theoretical and computational aspects.

View Optimisation (Linear Programming) on our Module Directory

COMPONENT 06: COMPULSORY

Ordinary Differential Equations

(15 CREDITS)

Ordinary differential equations are the backbone of much applied mathematics, arising everywhere that a physical, financial or other system changes continuously. This module introduces techniques for studying classes of linear and nonlinear differential equations, and for interpreting their solutions.

View Ordinary Differential Equations on our Module Directory

COMPONENT 07: OPTIONAL

(30 CREDITS)

COMPONENT 08: COMPULSORY

Mathematics Careers and Employability

(0 CREDITS)

View Mathematics Careers and Employability on our Module Directory

COMPONENT 01: COMPULSORY

Statistical Methods

(15 CREDITS)

This module will enable you to expand your knowledge on multiple statistical methods. You will learn the concepts of decision theory and how to apply them, have the chance to explore Monte Carlo simulation, and develop an understanding of Bayesian inference, and the basic concepts of a generalised linear model.

View Statistical Methods on our Module Directory

COMPONENT 02: COMPULSORY

Applied Statistics

(15 CREDITS)

In this module, you will study three application areas of statistics - multivariate methods, demography and epidemiology, and sampling, and how to apply and assess these methods in a variety of situations.

View Applied Statistics on our Module Directory

COMPONENT 03: COMPULSORY

Linear Regression Analysis

(15 CREDITS)

Can you calculate confidence intervals for parameters and prediction intervals for future observations? Represent a linear model in matrix form? Or adapt a model to fit growth curves? Learn to apply linear models to analyse data. Discuss underlying assumptions and standard approaches. Understand methods to design and analyse experiments.

View Linear Regression Analysis on our Module Directory

COMPONENT 04: COMPULSORY

Bayesian and Computational Statistics

(15 CREDITS)

This module focuses on Bayesian and computational statistics. You will develop your understanding of Bayes’ theorem and Bayesian statistical modelling, and Markov chain Monte Carlo simulation, by developing algorithms for simple probability distributions.

View Bayesian and Computational Statistics on our Module Directory

COMPONENT 05: COMPULSORY

Stochastic Processes

(15 CREDITS)

Ever considered becoming an Actuary? This module covers the required material for the Institute and Faculty of Actuaries CT4 and CT6 syllabus. It explores the stochastic process and principles of actuarial modelling alongside time series models and analysis.

View Stochastic Processes on our Module Directory

COMPONENT 06: COMPULSORY WITH OPTIONS

(15 CREDITS)

COMPONENT 07: OPTIONAL

(15 CREDITS)

COMPONENT 08: COMPULSORY

Data Visualisation

(15 CREDITS)

In a world increasingly driven by data, the need for analysis and visualisation is more important than ever. In this module you will look at data through the eyes of a numerical detective. You will work on the lost art of exploratory data analysis, reviewing appropriate methods for data summaries with the aim to summarise, understand, extract hidden patterns and identify relationships. You will then work on graphical data analysis, using simple graphs to understand the data, but also advanced complex methods to scrutinise data and interactive plots to communicate data information to a wider audience. For data analysis and visualisations you will use R-studio, and a combination of R-shiny applications and google visualisations for interactive plotting.

View Data Visualisation on our Module Directory

COMPONENT 09: COMPULSORY

Mathematics Careers and Employability

(0 CREDITS)

View Mathematics Careers and Employability on our Module Directory

Placement

On a placement year you gain relevant work experience within an external business or organisation, giving you a competitive edge in the graduate job market and providing you with key contacts within the industry. The rest of your course remains identical to the three-year degree.

Year abroad

On your year abroad, you have the opportunity to experience other cultures and languages, to broaden your degree socially and academically, and to demonstrate to employers that you are mature, adaptable, and organised. The rest of your course remains identical to the three-year degree.

Teaching

Undergraduate students in the School of Mathematics, Statistics and Actuarial Science typically attend three taught hours per module per week. This varies by module, e.g. two hours of lectures and one class/lab.
Take a mathematics careers and employability module, where you compile a portfolio of skills and experience.

Assessment

Your final mark is a weighted combination of coursework and summer examinations.
Your first year of study does not count towards your final degree class.
You receive regular feedback through in-term tests.
In your final year, you have the opportunity to complete a full-year or one-term project.

Fees and funding

Home/UK fee

£9,535 per year

International fee

£21,525 per year

Fees will increase for each academic year of study.

Home/UK fees and funding information

International fees and funding information

What's next

Our events are a great way to find out more about studying at Essex. We run a number of Open Days throughout the year which enable you to discover what our campus has to offer. You have the chance to:

tour our campus and accommodation
find out answers to your questions about our courses, student finance, graduate employability, student support and more
meet our students and staff

Check out our Visit Us pages to find out more information about booking onto one of our events. And if the dates aren’t suitable for you, feel free to book a campus tour here.

2025 Open Days (Colchester Campus)

Saturday 16 August 2025 - Colchester Clearing Open Day

Saturday 20 September 2025 - September Open Day

Saturday 8 November 2025 - November Open Day

Find out more

How to apply during Clearing

Once you’ve checked that we have the right course for you, applying couldn’t be simpler. Fill in our quick and easy Clearing application form with as much detail as you can. We’ll then take a look and get back to you with a decision.

Find out more about Clearing

Interviews

We don’t interview all applicants during Clearing, however, we will only make offers for the following courses after a successful interview:

BA Multimedia Journalism
BSc Nursing (Adult)
BSc Nursing (Mental Health)
BA Social Work

The interview allows our academics to find out more about you, and in turn you’ll be able to ask us any questions you might have. Further details will be emailed to you if you are shortlisted for interview.

Apply now

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If you live too far away to come to Essex (or have a busy lifestyle), no problem. Our 360 degree virtual tours allows you to explore our University from the comfort of your home. Check out our Colchester virtual tour and Southend virtual tour to see accommodation options, facilities and social spaces.

At Essex we pride ourselves on being a welcoming and inclusive student community. We offer a wide range of support to individuals and groups of student members who may have specific requirements, interests or responsibilities.

The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include, but are not limited to: strikes, other industrial action, staff illness, severe weather, fire, civil commotion, riot, invasion, terrorist attack or threat of terrorist attack (whether declared or not), natural disaster, restrictions imposed by government or public authorities, epidemic or pandemic disease, failure of public utilities or transport systems or the withdrawal/reduction of funding. Changes to courses 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, and will also keep students informed appropriately by updating our programme specifications. The University would inform and engage with you if your course was to be discontinued, and would provide you with options, where appropriate, in line with our Compensation and Refund Policy.

The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.