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Mathematics with Computing (Including Foundation Year)

Course overview

(BSc) Bachelor of Science
Mathematics with Computing (Including Foundation Year)
University of Essex
University of Essex
Essex Pathways
Colchester Campus
Honours Degree
Mathematics, Statistics and Operational Research

UK and EU applicants should have, or expect to have:

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

All applicants must also hold GCSE Maths and Science at grade C/4 or above.

Essex Pathways Department accepts a wide range of qualifications from applicants. If you are unsure whether you meet the entry criteria, please get in touch for advice.

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.

English language requirements for applicants whose first language is not English: IELTS 5.5 overall. Specified component grades are also required for applicants who require a Tier 4 visa to study in the UK.

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.

External Examiners

Dr Tania Clare Dunning
The University of Kent
Reader in Applied Mathematics

External Examiners provide an independent overview of our courses, offering their expertise and help towards our continual improvement of course content, teaching, learning, and assessment. External Examiners are normally academics from other higher education institutions, but may be from the industry, business or the profession as appropriate for the course. They comment on how well courses align with national standards, and on how well the teaching, learning and assessment methods allow students to develop and demonstrate the relevant knowledge and skills needed to achieve their awards. External Examiners who are responsible for awards are key members of Boards of Examiners. These boards make decisions about student progression within their course and about whether students can receive their final award.

eNROL, the module enrolment system, is now open until Monday 21 October 2019 8:59AM, for students wishing to make changes to their module options.


Core You must take this module You must pass this module. No failure can be permitted.
Core with Options You can choose which module to study
Compulsory You must take this module There may be limited opportunities to continue on the course/be eligible for the degree if you fail.
Compulsory with Options You can choose which module to study
Optional You can choose which module to study

Year 0 - 2019/20

Component Number Module Code Module Title Status Credits
01 IA112-3-FY Essential Mathematics Core 30
02 IA193-3-FY Research and Academic Development Skills Core 30
03 IA115-3-FY Mathematical Methods and Statistics Core 30
04 IA160-3-FY Computer Programming Core 30

Year 1 - 2020/21

Component Number Module Code Module Title Status Credits
01 CE151-4-AU Introduction to Programming Core 15
02 CE152-4-SP Object-Oriented Programming Core 15
03 MA101-4-FY Calculus Core 30
04 MA108-4-SP Statistics I Core 15
05 MA114-4-AU Linear Mathematics Core 15
06 MA182-4-AU Numerical Methods and Computation Compulsory 15
07 MA181-4-AU Discrete Mathematics Compulsory 15
08 MA199-4-FY Mathematics Careers and Employability Compulsory 0

Year 2 - 2021/22

Component Number Module Code Module Title Status Credits
01 CE203-5-AU Application Programming Compulsory 15
02 CE204-5-SP Data Structures and Algorithms Compulsory 15
03 MA201-5-AU Linear Algebra Compulsory 15
04 MA200-5-AU Statistics II Compulsory 15
05 MA203-5-AU Real Analysis Compulsory 15
06 MA205-5-SP Optimisation (Linear Programming) Compulsory 15
07 MA209-5-SP Numerical Methods Compulsory 15
08 MA202-5-SP Ordinary Differential Equations Compulsory 15
09 MA199-5-FY Mathematics Careers and Employability Compulsory 0

Exit awards

A module is given one of the following statuses: 'core' – meaning it must be taken and passed; 'compulsory' – meaning it must be taken; or 'optional' – meaning that students can choose the module from a designated list. The rules of assessment may allow for limited condonement of fails in 'compulsory' or 'optional' modules, but 'core' modules cannot be failed. The status of the module may be different in any exit awards which are available for the course. Exam Boards will consider students' eligibility for an exit award if they fail the main award or do not complete their studies.

Programme aims

The aims of this course are:

- to equip students with the knowledge and skills that are currently in demand in mathematically oriented employment in business, commerce, industry, government service, the field of education and in the wider economy;

- to provide students with a foundation for further study and research;

- to produce graduates who are mathematically literate and capable of appreciating a logical argument;

- to enable students to acquire a broad understanding of mathematics;

- to provide teaching which is informed and enhanced by the research activities of its staff;

- to encourage students to adopt an investigative approach and develop independent study skills in order to ensure their continuing professional development.

- The programme introduces the students to some of the ideas and underlying theory of computer science, in particular they will learn to program in languages such as JAVA and C++.

Learning outcomes and learning, teaching and assessment methods

On successful completion of the programme a graduate should demonstrate knowledge and skills as follows:

A: Knowledge and understanding

A1 Knowledge and understanding of the basic mathematical methods and techniques of linear mathematics, calculus and statistics that underpin the study of more advanced mathematical ideas.
A2 Knowledge and understanding of some of the ideas and methods used in mathematical proof of results in algebra, analysis, and discrete mathematics and familiarity with some specific examples.
A3 Knowledge and understanding of the principles of computer programming and computer packages, and experience in their use.
A4 Knowledge and understanding of the use of mathematics for modelling and as an investigative tool for the solution of practical problems. An appreciation of the importance of assumptions.
A5 Knowledge of some aspects of computer science and in particular programming additional to those specified in A3 above selected from a range of module
Learning Methods: Lectures are the principle method of delivery for the concepts and principles involved in A1-A5.

Students are also directed to reading from textbooks and material available online.

In some modules, understanding is enhanced through the production of a written report.

Understanding is reinforced by means of classes (A1-A5), laboratories (A3, A4) and assignments (A1-A5).
Assessment Methods: Achievement of knowledge outcomes is assessed primarily through unseen closed-book examinations and also, in some modules, through marked coursework, laboratory reports, statistical assignments, project reports and oral examinations.

Regular problem sheets provide formative assessment in most courses.

B: Intellectual and cognitive skills

B1 Identify an appropriate method to solve a specific mathematical or computing problem.
B2 Analyse a given mathematical problem and select the most appropriate tools for its solution.
Learning Methods: The basis for intellectual skills is provided in lectures and they are developed by means of recommended reading, guided and independent study, assignments and project work.

B1 and B2 are developed through exercises supported by classes.

B1-B2 are all-important aspects of the projects that constitute a part of some modules, and the optional final year project.
Assessment Methods: Achievement of intellectual skills is assessed primarily through unseen closed-book examinations, and also through marked assignments and project work.

C: Practical skills

C1 Use computational tools and packages.
C2 The ability to apply a rigorous, analytic, highly numerate approach to a problem.
Learning Methods: The practical skills of mathematics with computing are developed in exercise classes, laboratory classes, assignments and project work.

C1 is acquired through the learning of at least one programming language and the use of a number of computer packages, as a part of the teaching of modules for which they are relevant.

C2 is acquired and enhanced throughout the course.
Assessment Methods: Achievement of practical skills is assessed through marked coursework and project reports and presentations.

D: Key skills

D1 Communicate effectively, both mathematical arguments and textual accounts of ideas.
D2 Use appropriate IT facilities as a tool in the analysis of mathematical problems.
D3 Use mathematical techniques correctly.
D4 Analyse complex problems and find effective solutions.
D5 Organise activity and manage time in the course of study.
Learning Methods: D1 is practised throughout the course in the construction of solutions to mathematical and computing problems, both for assessment and as exercises, and (in some modules) writing reports and projects.

D1 and D2 are developed in group and individual project work.

D2 is also developed through the use of computer packages in a number of modules.

D3 -D5 are developed in exercises and assignments throughout the degree.
Assessment Methods: D1 is assessed through examinations, coursework and oral examinations.

D2 is assessed primarily through coursework.

Assessment of the key skills D3 - D5 is intrinsic to subject-based assessment.

The assessment of MA830, MA831 and MA832 includes specific allocations of credit for the quality of presentations (D1 and D2).


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 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 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.

Should you have any questions about programme specifications, please contact Course Records, Quality and Academic Development; email: