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Data is the lifeblood of our society. From medicine to government offices, and market research to the environment, the collection and analysis of data is crucial to understanding how to improve, create and guide products and services across the globe.
Our BSc Statistics is for students who want to understand and analyse data using modern statistical methods. It’s a home for mathematicians who enjoy solving practical problems and who want to make a difference in all sorts of areas. On our course you can study a wide range of topics, such as:
Statistics, including theory and practical computer-based exercises
Optimisation, from linear to integer programming
Applied mathematics, such as vector calculus and differential equations
You’ll also have the chance to engage with our employability activities.
You develop your mathematical and statistical skills with a balance between solid theory and practical application in problems arising from finance, medicine, biology, economics and other fields of modern research.
You therefore can gain an exceptional range of knowledge and skills that are currently in demand in statistically oriented employment; in business, commerce, industry, government service, education and in the wider economy.
Our Department of Mathematical Sciences is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:
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.
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.
88% of our mathematics graduates are in professional employment or postgraduate study within six months of graduating from Essex (DLHE 2017).
As well as being world-class academics and researchers, we are award-winning lecturers.
We coordinate mathematics and statistics support for universities within the Eastern region.
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, where you 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.
We are a small but influential department, so our students and staff know each other personally. You never need an appointment to see your lecturers and professors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.
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 in the department, which is situated in the new £18m STEM Centre
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.
Entry requirements
UK entry requirements
A-levels: BBB, including Mathematics
Please note we are unable to accept A-level Use of Mathematics in place of A-level Mathematics
BTEC: DDD, only in conjunction with A-level Mathematics.
IB: 30 points or three Higher Level certificates with 555. Either must include Higher Level Mathematics grade 5.
We are also happy to consider a combination of separate IB Diploma Programmes at both Higher and Standard Level. Exact offer levels will vary depending on the range of subjects being taken at higher and standard level, and the course applied for. Please contact the Undergraduate Admissions Office for more information.
From 2021, we will accept grade 5 in either Higher Level Mathematics: Analysis and Approaches or Higher Level Mathematics: Applications and Interpretation.
Flexible offers Eligible applicants that choose us as their firm choice by the relevant deadline will be able to take advantage of a flexible offer. This offer will specify alternative entry requirements than those published here so, if your final grades aren’t what you had hoped for, you could still secure a place with us. Visit our undergraduate application information page for more details.
International & EU entry requirements
We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.
Sorry, the entry requirements for the country that you have selected are not available here. Please select
your country page
where you'll find this information.
Other English language qualifications may be acceptable so please contact us for further details. If we accept the English component of an international qualification then it will be included in the information given about the academic levels listed above. Please note that date restrictions may apply to some English language qualifications
If you are an international student requiring a Tier 4 visa to study in the UK please see our immigration webpages for the latest Home Office guidance on English language qualifications.
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.
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 here.
Structure
Example structure
We offer a flexible course structure with a mixture of compulsory and optional modules chosen from lists. Below is just one example structure from the current academic year of a combination of modules you could take. Your course structure could differ based on the modules you choose.
Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore all modules listed are subject to change. To view the compulsory modules and full list of optional modules currently on offer, please view the programme specification via the link below.
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.
How do you apply the addition rule of probability? Or construct appropriate diagrams to illustrate data sets? Learn the basics of probability (combinatorial analysis and axioms of probability), conditional probability and independence, and probability distributions. Understand how to handle data using descriptive statistics and gain experience of R software.
Can you perform simple operations on complex numbers? How do you solve systems of linear equations using row operations? Can you calculate the determinant and inverse of a matrix? Understand the basics of linear algebra, with an emphasis on vectors and matrices.
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.
What skills do you need to succeed during your studies? And what about after university? How will you realise your career goals? Develop your transferable skills and experiences to create your personal profile. Reflect on and plan your ongoing personal development, with guidance from your personal advisor within the department.
This module introduces how to construct an algorithm, including automata and Turing machines and the basic numerical methods to see how they can be used to solve problems.
The aim of this module is to provide an introduction to the fundamental concepts of computer programming. After completing this module, students will be expected to be able to demonstrate an understanding of the basic principles and concepts that underlie the procedural programming model, explain and make use of high-level programming language features that support control, data and procedural abstraction. Also, they will be able to analyse and explain the behaviour of simple programs that incorporate standard control structures, parameterised functions, arrays, structures and I/O.
Want to become a Java programmer? Topics covered in this module include control structures, classes, objects, inheritance, polymorphism, interfaces, file I/O, event handling, graphical components, and more. You will develop your programming skills in supervised lab sessions where help will be at hand should you require it.
In this module you'll be introduced to the basics of probability and random variables. Topics you will discuss include distribution theory, estimation and Maximum Likelihood estimators, hypothesis testing, basic linear regression and multiple linear regression implemented in R.
What are the processes and pitfalls of mathematical approximation? How do you carry out simple numerical processes “by hand”? Understand the practical techniques for carrying out numerical computations on a range of mathematical problems. Build your knowledge of mathematical computing. Learn how to implement and execute algorithms in Matlab.
The subject of ordinary differential equations is a very important branch of Applied Mathematics. Many phenomena from Physics, Biology, Engineering, Chemistry, Finance, among others, may be described using ordinary differential equations. To understand the underlying processes, we have to find and interpret the solutions to these equations. The last part of the module is devoted to the study of nonlinear differential equations and stability. This module provides an overview of standard methods for solving single ordinary differential equations and systems of ordinary differential equations, with an introduction to the underlying theory.
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.
What skills do you need to succeed during your studies? And what about after university? How will you realise your career goals? Develop your transferable skills and experiences to create your personal profile. Reflect on and plan your ongoing personal development, with guidance from your personal advisor within the department.
How do you prove simple properties of linear space from axioms? Can you check whether a set of vectors is a basis? How do you change a basis and recalculate the coordinates of vectors and the matrices of mapping? Study abstract linear algebra, learning to understand advanced abstract mathematical definitions.
How do you use quantifiers in analysis? What are the principles underlying proofs of basic theorems concerning limits, continuity and differentiability? Gain an understanding into real analysis, examining sequences and functions. Study relevant theorems (like Rolle’s and the Mean Value) and learn to reproduce elementary epsilon-delta arguments.
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.
Artificial intelligence will be a great driver of change in the coming decades. This module provides an introduction to three fundamental areas of artificial intelligence: search, knowledge representation, and machine learning. These underpin all more advanced areas of artificial intelligence and are of central importance to related fields such as computer games and robotics. Within each area, a range of methodologies and techniques are presented, with emphasis being placed on understanding their strengths and weaknesses and hence on assessing which is most suited to a particular task.
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.
How do you apply multivariate methods? Or demographical and epidemiological methods? And how do you apply sampling methods? Study three application areas of statistics – multivariate methods, demography and epidemiology, and sampling. Understand how to apply and assess these methods in a variety of situations.
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.
What skills do you need to succeed during your studies? And what about after university? How will you realise your career goals? Develop your transferable skills and experiences to create your personal profile. Reflect on and plan your ongoing personal development, with guidance from your personal advisor within the department.
Can you identify curves and regions in the complex plane defined by simple formulae? How do you evaluate residues at pole singularities? Study complex analysis, learning to apply the Residue Theorem to the calculation of real integrals.
How do you apply an algorithm or numerical method to a problem? What are the advantages? And the limitations? Understand the theory and application of nonlinear programming. Learn the principles of good modelling and know how to design algorithms and numerical methods. Critically assess issues regarding computational algorithms.
In this module you will learn what underpins the algorithms used where variables are integer and apply these algorithms to solve integer and mixed integer problems with cutting-plane algorithms.
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.
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
Teaching mainly takes the form of lectures – you study roughly two 50-minute lectures and one 50-minute class per week, per module
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 marks gained on coursework (eg homework problem sheets or tests) and your summer examinations
Your first year of study does not count towards your final degree class
Third-year students have the opportunity to complete a full-year or one-term project
Fees and funding
Home/EU fee
£9,250
International fee
£16,860
Fees will increase for each academic year of study.
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.
Applications for our full-time undergraduate courses should be made through the Universities and Colleges Admissions Service (UCAS). Applications are online at: www.ucas.com. Full details on this process can be obtained from the UCAS website in the how to apply section.
Our UK students, and some of our EU and international students, who are still at school or college, can apply through their school. Your school will be able to check and then submit your completed application to UCAS. Our other international applicants (EU or worldwide) or independent applicants in the UK can also apply online through UCAS Apply.
The UCAS code for our University of Essex is ESSEX E70. The individual campus codes for our Loughton and Southend Campuses are 'L' and 'S' respectively.
You can find further information on how to apply, including information on transferring from another university, applying if you are not currently at a school or college, and applying for readmission on our How to apply and entry requirements page.
Applicant Days and interviews
Resident in the UK? If your application is successful, we will invite you to attend one of our applicant days. These run from January to April and give you the chance to explore the campus, meet our students and really get a feel for life as an Essex student.
Some of our courses also hold interviews and if you're invited to one, this will take place during your applicant day. Don't panic, they're nothing to worry about and it's a great way for us to find out more about you and for you to find out more about the course. Some of our interviews are one-to-one with an academic, others are group activities, but we'll send you all the information you need beforehand.
If you're outside the UK and are planning a trip, feel free to email applicantdays@essex.ac.uk so we can help you plan a visit to the University.
Visit Colchester Campus
Home to 15,000 students from more than 130 countries, our Colchester Campus is the largest of our three sites, making us one of the most internationally diverse campuses on the planet - we like to think of ourselves as the world in one place.
The Campus is set within 200 acres of beautiful parkland, located two miles from the historic town centre of Colchester – England's oldest recorded town. Our Colchester Campus is also easily reached from London and Stansted Airport in under one hour.
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.
Exhibitions
Our staff travel the world to speak to people about the courses on offer at Essex. Take a look at our list of exhibition dates to see if we’ll be near you in the future.
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 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 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 prospective students informed appropriately by updating our programme specifications.
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.
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