This site uses cookies. By continuing to browse the site you are consenting to their use. Please visit our cookie policy to find out which cookies we use and why.
View cookie policy.
Mathematics and computing are intertwined, and affect people's lives in ways you might not expect. Maths is the language that underpins the modern world.
Our BSc Mathematics with Computing (including foundation year) will be suitable for you if your academic qualifications do not yet meet our entrance requirements for the three-year version of this course and you want a programme that increases your subject knowledge as well as improves your academic skills in order to support your academic performance.
This four-year course includes a foundation year (Year Zero), followed by a further three years of study. During your Year Zero, you study three academic subjects relevant to your chosen course as well as a compulsory academic skills module, with additional English language for non-English speakers.
You are an Essex student from day one, a member of our global community based at the most internationally diverse campus in the UK.
After successful completion of Year Zero in our Essex Pathways Department, you progress to complete your course with our Department of Mathematical Sciences.
Our BSc Mathematics with Computing course is mathematical at heart, but is backed up with training in programming and algorithms. You’ll receive a good grounding in a broad range of subjects and have the flexibility to choose options according to your interests in both our Department of Mathematical Sciences and our School of Computer Science and Electronic Engineering. This allows you to tailor your degree to your chosen specialism or preferred career path.
At Essex we help you develop critical thinking and problem-solving skills that will start to prepare you to succeed in a wide range of careers involving mathematics and computing. You can build a sound set of skills spanning both disciplines including rigorous problem-solving skills.
For example, in mathematics you will learn to analyse very large datasets as well as discover deep insights into complex systems. This is complemented by computational modules that give you will the ability to see a computer system from specification through design, testing and documentation to implementation, and experience of writing technical descriptions and reports.
As well as being world-class academics and researchers, we are award-winning lecturers.
Guarantee your place on your chosen course if you successfully complete your foundation year at Essex.
We go the extra mile to make sure you succeed both during and after your time with us.
Our expert staff
We have some of the best teachers across the University in our Essex Pathways Department, all of whom have strong subject backgrounds and are highly skilled in their areas.
As well as being world-class academics, our mathematics 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 original computer science department was founded by Professor Tony Brooker, who came to Essex from Manchester where he had worked with Alan Turing. Professor Brooker invented the compiler-compiler, one of the earliest applications of a formal understanding of the nature of programming languages.
In recent years our School of Computer Science and Electronic Engineering has attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.
Specialist facilities
By studying within our Essex Pathways Department for your foundation year, you will have access to all of the facilities that the University of Essex has to offer, as well as those provided by our department to support you:
We provide computer labs for internet research; classrooms with access to PowerPoint facilities for student presentations; AV facilities for teaching and access to web-based learning materials.
Our new Student Services Hub will support you and provide information for all your needs as a student.
Our social space is stocked with hot magazines and newspapers, and provides an informal setting to meet with your lecturers, tutors and friends.
Take advantage of our extensive learning resources in the Department of Mathematical Sciences to assist you in your studies:
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 our own computer labs for the exclusive use of students in the School of Computer Science and Electronic Engineering and we have a dedicated social and study space for maths students situated in the STEM Centre
Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
You have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors
Your future
Clear thinkers are required in every profession, so the successful mathematician has an extensive choice of potential careers.
Mathematics and computing graduates are highly employable in a wide range of places, working in business, pharmaceutical industries, banking and computing among others. The Council for Mathematical Sciences offers further information on careers in mathematics.
Recent graduates from our BSc Mathematics with Computing course have found employment as:
Junior software programmers
Web designers
Web developers
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
UK and EU applicants:
All applications for degree courses with a foundation year (Year Zero) will be considered individually, whether you
think you might not have the grades to enter the first year of a degree course;
have non-traditional qualifications or experience (e.g. you haven’t studied A-levels or a BTEC);
are returning to university after some time away from education; or
are looking for more support during the transition into university study.
Standard offer:
Our standard offer is 72 UCAS tariff points from at least two full A-levels, or equivalent.
Examples of the above tariff may include:
A-levels: DDD
BTEC Level 3 Extended Diploma: MMP
T-levels: Pass with E in core
For this course all applicants must also hold GCSE Maths and Science at grade C/4 or above (or equivalent). We may be able to consider a pass in Level 2 Functional Skills Maths where you cannot meet the requirements for Maths at GCSE level. However, you are advised to try to retake GCSE Mathematics if possible as this will better prepare you for university study and future employment.
If you are unsure whether you meet the entry criteria, please get in touch for advice.
Mature applicants and non-traditional academic backgrounds:
We welcome applications from mature students (over 21) and students with non-traditional academic backgrounds (might not have gone on from school to take level 3 qualifications). We will consider your educational and employment history, along with your personal statement and reference, to gain a rounded view of your suitability for the course.
You will still need to meet our GCSE requirements.
International applicants:
Essex Pathways Department is unable to accept applications from international students. Foundation pathways for international students are available at the University of Essex International College and are delivered and awarded by Kaplan, in partnership with the University of Essex. Successful completion will enable you to progress to the relevant degree course at the University of Essex.
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 required. 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
Our Year 0 courses are only open to UK and EU applicants. If you’re an international student, but do not meet the English language or academic requirements for direct admission to your chosen 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.
Your course structure could differ based on the modules you choose.
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. However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, 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:
HR
100
4
FY
The department or school the module will be taught by.
In this example, the module would be taught by the Department of History.
Want to know the basic mathematical techniques of algebra? To understand calculus? To apply methods of differentiation and integration to a range of functions? Build the basic, then more advanced, mathematical skills needed for future study. Learn to solve relevant problems, choosing the most suitable method for solution.
This blended-learning module is designed to support students in their academic subject disciplines and to strengthen their confidence in key skills areas such as: academic writing, research, academic integrity, collaborative and reflective practices.
The students are supported through the use of subject-specific materials tailored to their chosen degrees with alignment of assessments between academic subject modules and the skills module.
Develop your problem solving skills in this module, as you are introduced to Statistical and Mathematical concepts with a particular focus on mechanics. You become familiar with R software, one of the most widely used statistical analysis software in the world, and learn how to use it to analyse and interpret data. You study simple concepts and techniques like data description and distribution; before moving on to more complex topics and theories including Newton’s laws of motion and the concepts of Mechanical energy. While also covering everything from probability rules and hypothesis testing to advanced algebra – you will be well equipped to present your solutions and findings to an audience with no specialist knowledge of Statistics and Mechanics.
How do you test and evaluate the operation of simple computer programs? Or develop a program using tools in the Python programming language? Study the principles of procedural computing programming. Examine basic programming concepts, structures and methodologies. Understand good program design, learn to correct coding and practice debugging techniques.
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.
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.
You'll be introduced to a range of important concepts which are used in all areas of mathematics and statistics. This module is structured in such a way that during learning sessions you'll develop good practical understanding of these concepts via discussion and exercises, and have an opportunity to ask questions. Theory is introduced via recorded videos and the corresponding notes published on Moodle, and also via recommendations of textbooks. The contact hours are dedicated to interactive activities such as lab exercises and flipped lecture quizzes; also you will have some additional formative tests in Moodle.
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 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 extends the students' knowledge and skills in object-oriented application programming by a treatment of further Java language principles and of important Application Programming Interfaces (APIs). The Java Collections API is explored in some more detail with emphasis on how to utilise these classes to best effect. A particular focus will be on the interaction with databases (e.g. via JDBC) and on writing secure applications.
Data structures and algorithms lie at the heart of Computer Science as they are the basis for the efficient solution of programming tasks. In this module, students will study core algorithms and data structures, as well as being given an introduction to algorithm analysis and basic computability.
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.
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 can we rigorously discuss notions of infinity and the infinitely small? When do limits and derivatives of functions make sense? This module introduces the mathematics which enables calculus to work, with the epsilon-and-delta definition of limits as its cornerstone. Fundamental theorems are proved about sequences and series of real numbers, and about continuous and differentiable functions of a single real variable.
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.
How can we solve a problem that does not have a nice pen-and-paper solution? How do we ensure our computers use the available data efficiently to deliver accurate and reliable results? 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.
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.
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.
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 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 EU applicants 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.
Please note that this course is not open to international applicants.
Applicant Days
If you are an undergraduate student residing in the UK who has received an offer to study with us in October 2023, you will receive an email invitation to book onto one of our Applicant Days. Our Colchester Campus Applicant Days run from February to May 2023 on various Wednesdays and Saturdays, and our Southend Campus Applicant Days run from March to June 2023 on various weekdays and Saturdays. Applicant Days provide the opportunity to meet your department, tour our campus and accommodation, and chat to current students. We appreciate that travelling to university events can be expensive. This is why we have increased our Applicant Day Travel Bursary cap, allowing you to claim up to £150 as reimbursement for travel expenses. For further information about Applicant Days, including Terms and Conditions and eligibility criteria for our Travel Bursary, please visit our Applicant Days webpage.
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.
Set within the 200-acre award-winning beautiful parkland - Wivenhoe Park and located two miles from the historic city centre of Colchester – England's oldest recorded development. Our Colchester Campus is also easily reached from London and Stansted Airport in under one hour.
Whether you are planning to visit us at one of our Open Days, or coming to an Applicant day. Our campus conveniently located and easy to reach by car, train or bus.
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 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.