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Interactions between mathematics and physics have led to a range of weird and wonderful advances in the sciences, from elementary particle theory to general relativity and non-Euclidean geometry, to the understanding of chaos. At Essex, your ways of thinking will be shifted as we teach you about the cosmos, the symmetries of quarks and the complexities of quantum physics.
On our BSc Mathematics with Physics you can study a wide range of topics, such as:
Optimisation, from linear to integer programming
Statistics, including theory and practical computer-based exercises
Applied mathematics, such as vector calculus and differential equations
Pure mathematics, such as group theory and graph theory
Quantum mechanics
You’ll also have the chance to engage with our employability activities.
This course can lead to employment opportunities within business, commerce, education, engineering, government service, industry and research as well as from 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.
Why we're great.
94% of our Mathematical Sciences students expressed overall satisfaction with their course (NSS 2020).
As well as being world-class academics and researchers, we are award-winning lecturers.
89% of our maths students are in employment or further study (Graduate Outcomes 2020).
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. You will be responsible for finding your placement, but with support and guidance provided by both your department and our Employability and Careers Centre.
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.
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 mathematician has an extensive choice of potential careers.
Mathematics students are in demand from a wide range of employers in a host of occupations, including financial analysis, management, public administration and accountancy. The Council for Mathematical Sciences offers further information on careers in mathematics.
Our recent graduates have gone on to work in a wide range of high-profile roles including:
Chartered accountancy
Investment consultants
Accounts technicians
Stock lending analysts
We also work with our University's Student Development Team to help you find out about further work experience, internships, placements, and voluntary opportunities.
“My current role is as a Higher Statistical Officer for the Department for Education. My Essex mathematics degree was pivotal for securing this role. The interview process involved technical questions as well as competencies – most of which my examples were based on projects I completed during my degree. The part of my job I enjoy the most is writing code and developing my skills. It’s extremely satisfying creating a bespoke solution that improves the cost/timeliness/automation of a previously poor process. I also enjoy the contextual aspect of my work. The figures I am producing are helping teachers and governors and therefore ultimately improving education for children which I am passionate about.”
Chloe Gates, BSc Mathematics, 2017
Entry requirements
UK entry requirements
A-levels: BBB, including Mathematics and Physics
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 and Physics.
IB: 30 points or three Higher Level certificates with 555. Either must include Higher Level Mathematics/Maths Studies and Physics 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
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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.
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.
Want to understand Newtonian Dynamics? Interested in developing applications of mathematical ideas to study it? Enhance your skills and knowledge in the context of fundamental physical ideas that have been central to the development of mathematics. Analyse aspects of technology and gain experience in the use of computer packages.
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.
This module introduces you to programming skills in the context of a range of mathematical modelling topics. Mathematical modelling skills will be an important focus alongside learning how to structure and implement codes in both Matlab and R. A key part of the module will be investigative open-ended computational modelling studies at both the group and individual level.
This module is one of two concerned with scientific and engineering foundations on which electronics is based. All electronics components are based on physical principles that relate voltage, current flow and the storage or loss of energy. All the theory we need to learn about how circuits behave is based on the fact that electric charge cannot be created or destroyed, and that the energy of each electron just depends on where it is, and how fast it is moving. How charges move in materials depends on their crystal structures. From basic ideas, the main principles of electronics are built up so that they can be used in the wider study of electronics to solve problems.
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.
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.
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.
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.
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.
How do you define gradient, divergence and curl? Study the classical theory of vector calculus. Develop the two central theorems by outlining the proofs, then examining various applications and examples. Understand how to apply the ideas you have studied.
This module concerns the general description and analysis of the motion of systems of particles acted on by forces. Assuming a basic familiarity with Newton's laws of motion and their application in simple situations, you will develop the advanced techniques necessary to study more complicated, multi-particle systems. You will also consider the beautiful extensions of Newton's equations due to Lagrange and Hamilton, which allow for simplified treatments of many interesting problems and provide the foundation for the modern understanding of dynamics.
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.
The module introduces you to the key abstract algebraic objects of groups, rings and fields and develops their fundamental theory. The theory will be illustrated and made concrete through numerous examples in settings that you will already have encountered.
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.
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.
You will study abstract algebra by developing the theory of groups. The theory will be illustrated through examples in settings that you will already have encountered in your course.
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.
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.
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.
This module will cover partial differential equations (PDEs), which can describe a majority of physical processes and phenomena. You will learn the properties of first and second order PDEs, the concepts behind them and the methods for solving such equations.
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.
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/UK fee
£9,250
International fee
£17,700
EU students commencing their course in the 2021-22 academic year will be liable for the International fee.
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.
Applying
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 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 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.
Ask us a question
Want to quiz us about your course? Got a question that just needs answering? Get in touch and we’ll do our best to email you back shortly.
