Fees and key information

Course type
Undergraduate
UCAS code
G100
Entry requirements
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Why study this course?

This intensive course has proven extremely popular with our students due to built-in opportunities for work placements, the balanced programme of both applicable and theoretical mathematics, and our enthusiastic, knowledgeable staff who help you develop both your problem-solving and IT skills.

Through this course, you’ll build your knowledge, understanding and expertise in a range of mathematical methods, and develop the career-focused, transferable skills that employers are looking for. You’ll learn to use mathematical reasoning in a variety of contexts and apply your knowledge in problem-solving situations.

You’ll begin by studying the fundamentals of mathematics, such as calculus and linear algebra, and proofs and structures. As the course goes on, you’ll have the opportunity to specialise in your areas of interest such as cryptography and coding, the mathematics of infinity and financial modelling.

You can get a taste for life at our School of Computing and Digital Media by taking a look at our showcase of recent student work.

We are accredited by the IMA

We are accredited by the Institute of Mathematics and its Applications (IMA) for the purpose of meeting in part the educational requirement for chartered status

Improve your career prospects

Through this course, you’ll build your knowledge, understanding and expertise in a range of mathematical methods, and develop the career-focused, transferable skills that employers are looking for

Choose your own mathematical specialities

As the course goes on, you’ll have the opportunity to specialise in your areas of interest such as cryptography and coding, the mathematics of infinity and financial modelling

Visit our next open day on Friday 5 July, 11am

Book your place

Course modules

The modules listed below are for the academic year 2023/24 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.

Year 1 modules

Year 2 modules

Year 3 modules

Calculus

(core, 15 credits)

The module covers basic mathematical techniques of differential and integral calculus. The module builds on and extends concepts learned in A-Level Mathematics. The contents covered and the skills developed are fundamental to the development of mathematical competence. Calculus forms an important foundation for further studies in Mathematics, Finance, Statistics and Engineering.

Data Analysis

(core, 15 credits)

This module introduces methods of analysing data using appropriate statistical software. Descriptive statistics and statistical techniques that are useful to present, analyse and make inferences about data are also introduced. A selection of suitable software (e.g. Excel, SPSS, R) will enable students to analyse data in order to make informed decisions.

Financial Mathematics

(core, 15 credits)

This module develops the mathematical and statistical tools that are used in the mathematics of finance. This module introduces the basic terminologies used in finance and develops the mathematical techniques to solve real-life problems in finance. The module will provide an introductory knowledge of Excel, and Excel built functions in financial computing. The application of suitable software (e.g. Excel) will enable students to solve financial problems in order to draw valid conclusions and make informed decisions.

Graph Theory

(core, 15 credits)

In this module, we introduce the basic concepts of graph theory, focusing on finite graphs. These include numerical invariants of graphs and methods for calculating them; how to navigate through graphs (including the method that lies behind the resolution of the Königsberg problem discussed above); vertex and edge colourings of graphs and other numerical invariants of graphs; the conditions under which a graph is planar.

IT for Mathematics

(core, 15 credits)

This module introduces a range of numerical approximation methods for solving a variety of mathematical problems, including iterative methods for solving nonlinear equations and systems of linear equations.

There is also an introductory course on LaTeX, which is a high-quality document preparation system commonly used for writing, editing, and designing mathematical documents and technical reports.

Linear Algebra

(core, 15 credits)

The module builds on and extends concepts learned in A-Level Mathematics such as complex numbers, vectors, and matrices. This module serves as an introduction to linear algebra methods, which are central in modern mathematics, having found applications in many other sciences and in our everyday life. The module covers basic mathematical techniques of linear algebra such as Systems of linear equations and Gaussian elimination, Matrices and Determinants, and Diagonalisation. The contents covered and the skills developed are fundamental to the development of mathematical competence. Linear algebra forms an important foundation for further studies in Mathematics, Finance, Statistics and Engineering.

MAPLE Programming

(core, 15 credits)

This module introduces a mathematical programming package that is commonly used for solving a variety of problems, where there is an expectation of some knowledge of calculus, linear algebra.

The application of these techniques, through the medium of mathematical problems enables the student to become proficient in the use of algebraic software which is used in most mathematical related jobs such as working in industry, financial markets, and teaching.

Mathematical Proofs

(core, 15 credits)

This module develops the skills necessary to support academic study at degree level. It will also develop reflective learning and action planning via the Personal Development Planning (PDP) process. The first term topics will look into history of mathematics, development of modern number system and introduce idea of mathematical proofs. Different proof techniques will be covered using examples from Set Theory and Number Theory.

Differential Equations

This module currently runs:
spring semester - Wednesday morning

(core, 15 credits)

The module extends the students’ knowledge of the techniques of calculus and introduces the concept of differential equations.

This module aims to give students a thorough understanding of the analytical techniques available to solve first and second order ordinary differential equations.

Read full details

Further Calculus

This module currently runs:
all year (September start) - Friday morning

(core, 30 credits)

The module extends the students’ knowledge of the techniques of calculus and introduces the concept of multivariable Calculus as well as calculus of vectors.

This module introduces Vector-Valued Functions and extends ideas of calculus of one dimension to Vector-Valued Functions.

Prior knowledge: MA4010 Calculus and Linear Algebra.

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Group Theory and Vector Spaces

(core, 30 credits)

The topics covered in the first part of this module is to introduce students to the abstract algebraic structures of groups, which arise from the ideas of symmetries and of vector and matrix calculus respectively. These two primary examples of algebraic structures have applications across science and engineering, and also provide a firm foundation of necessary basic algebraic notions for the student to further their study mathematical study.

The aim of the second part of the module is to introduce students to the abstract algebraic structures of vector spaces, developing on the material on linear algebra learnt previously. This primary example of algebraic structures has applications across science and engineering, and also provides a firm foundation of necessary basic algebraic notions for the student to further their mathematical study.

Project Management

This module currently runs:
autumn semester - Wednesday morning

(core, 15 credits)

This module introduces a selected range of Operational Research techniques that are commonly used for solving a variety of small to medium size problems, through the medium of spreadsheet and other suitable software. It also enables the student to investigate real-life problems of business and industrial problems of varied complexity.

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Statistical Methods and Modelling Markets

This module currently runs:
all year (September start) - Monday afternoon

(core, 30 credits)

The module covers mathematical and statistical modelling techniques that are applied in making decisions in areas of finance. It also enables the student to investigate real-life statistical data. This module introduces important financial concepts and develops statistical modelling techniques. Statistical regression models are applied to financial data (e.g., credit scoring, default time analysis) and mathematical modelling of stock and option prices is investigated. A selection of suitable software (e.g., Excel, R, SPSS) will enable students to analyse data in order to make informed decisions. The students will develop skills in statistical and mathematical modelling of real data to aid future employability

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Academic Independent Study

This module currently runs:
spring semester - Wednesday afternoon
autumn semester - Wednesday afternoon

(core, 15 credits)

This module serves as a core module for all maths students (and optional for Data Science students) to do a one-semester project in the broader sense. The feature of the module is summarised as follows.
1. Students will follow their own interest to pursue an individualised study independently under staff supervision.
2. Students taking this module with the same supervisor may study the same subject but the assessments should be individualised.
3. The allocation of supervisors to students should be done at the end of year two. Students can take this module in either autumn or spring period.
The programme of study is very much individualised and there is a variety of format. The following are just two typical examples: (a) Pursue an investigative study on a particular topic, with an assessment of written report plus viva, and (b) A self-negotiated study in any subject area following a printed textbook or online material, assessed by a coursework consisting of a mixture of solutions to exercise questions, a written report, and a viva (oral presentation). In the later case, there must be an “investigative and independent factor” in the study. Any other innovative format is encouraged.

The module aims to
1. Provide students with an opportunity to pursue an academic area of interest independently, subject to the availability of an appropriate supervisor, where a taught module is not available.
2. Develop students’ ability to search the internet and library for useful information.
3. Enrich students’ experience of self-negotiated study.
4. Improve students’ employability by enhancing their skills through report writing and reflection on independent learning.

Read full details

Analysis

This module currently runs:
autumn semester - Thursday morning

(core, 15 credits)
No module details availableRead full details

Career Development Learning

This module currently runs:
spring semester - Wednesday afternoon
autumn semester - Wednesday afternoon

(core, 15 credits)

The module enables students to undertake an appropriate, short professional activity related to their course at level 6 with a business or community organisation and to gain credit for their achievements. The activity can be professional training or certification, a volunteering activity, employment through internal or external work-based placements, research-related activities, business start-up projects, entrepreneurship programs and more. Please see the complete list of accepted activities on WebLearn.

Students are expected to engage in any one or combination of career development learning activities for a total of ~70 hours which should be recorded clearly in a tri-weekly learning log – part of the portfolio. The ~70 hours can be completed in ~30 working days in FT mode or spread over a semester in PT mode.

Students are expected to complete a total of ~150 hours, 70 hours of which is direct engagement in any one or combination of career development learning activities. Progress should be recorded clearly in tri-weekly learning logs which are part of the portfolio. The ~150 hours can be completed in ~35 working days in FT mode or spread over a semester in PT mode.

Students should register for the module to be briefed, undergo induction and module planning and have their career development learning activity approved before they take up the opportunity. Students must be made aware that both the "Learning Agreement" (LA) and relevant "Health and Safety (H&S) checklist", where applicable, must be approved before starting the learning activity. Activities started without prior explicit supervisor approval will not be accepted.

The module aims to provide students with the opportunity to:
• Gain a valuable experience of the working environment and the career opportunities available upon graduation.
• Sharpen critical thinking, creative problem-solving and the ability to articulate solutions correctly to decision-makers and budget-holders alike.
• Undertake a career development learning activity appropriate to their academic level to gain exposure and access to professional networks.
• Extend learning experience by applying and building on their academic skills and abilities by tackling real-life problems through enrichment and extracurricular programs related to student subject areas.
• Enhance existing skills and master new ones through a structured personal and Professional Development Plan (PDP).

Read full details

Category Theory

This module currently runs:
spring semester - Thursday morning

(core, 15 credits)
No module details availableRead full details

Mathematical Modelling

This module currently runs:
all year (September start) - Tuesday morning

(core, 30 credits)

This module develops a rigorous approach to the whole process of solving problems arising from real life scenarios and the module consists of providing solutions to a number of such problems. For each given problem, the process of dealing with it includes an initial analysis, identification of the main factors involved, establishment of a differential or difference equation as a mathematical model of the problem, analytical and/or numerical analysis to solutions of the equation, making predictions and drawing conclusions to the model, and feedback to solving the problem.

The module aims to
1. Introduce the process of model building from a non-mathematical description of a physical or industrial process or in a business application.
2. Introduce the idea of mathematical modelling as a means of solving real problems.
3. Present powerful tools of differential/difference equations to analyse the models in order to make appropriate predictions.
4. Develop the student's ability to work effectively in-groups.
5. Improve the student's communication skills through report writing and presentation.
Pre-requisite knowledge: MA5011 Further Calculus and MA5052 Differential Equations (studied or Co-requisite)

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Cryptography and Number Theory

This module currently runs:
spring semester - Friday afternoon

(option, 15 credits)

The module is an introduction to modern ideas in cryptography. It proves the background to the essential techniques and algorithms of cryptography in widespread use today, as well as the essentials of number theory underlying them.

The module looks at symmetric ciphersystems and their use in classical cryptography as well as public key systems developed to support internet commerce and deliver data security for private individuals.

The module will enable students to understand the mathematics underpinning key algorithms, how they operate using small values and how computer packages such as MAPLE allow us to apply them at a more realistic scale.

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Error Correcting Codes

This module currently runs:
autumn semester - Friday afternoon

(option, 15 credits)

The module is an introduction to modern ideas in error correcting codes. It provides the background to the essential techniques and algorithms in widespread use today, as well as the essentials of number theory and finite field theory underlying them.
Error correcting codes are an important part of the data communications theory and allow a message to be recovered even if errors have been introduced during transmission. The elegant mathematics of finite field theory is introduced to develop multiple error correcting codes with a wide range of communications applications.

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Financial Modelling and Forecasting

This module currently runs:
all year (September start) - Tuesday afternoon

(option, 30 credits)

The module introduces the students to financial forecasting using modern statistical modelling techniques. Its aim is to prepare the student for work in a quantitative commercial or scientific environment. Students will be developing problem solving skills. For each given problem, the process of dealing with it includes, searching for appropriate data sets, establishing the right statistical/financial techniques to use, fitting appropriate models, critically appraising the models using diagnostic model tools and finally interpreting the models and drawing conclusions.

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Mathematics of Infinity

(option, 15 credits)

The module is designed to be accessible to both mathematics and non-mathematics students alike. The prerequisite for this module is basic arithmetic and desire to think about abstract ideas.
This module is centred around Cantor’s theory of infinite sets. The historical background of the idea of infinity will be given from the ancient Greek philosophers up to Immanuel Kant. The main ideas behind the Cantor’s theory of transfinite numbers will be developed and then we will look at some of the consequences of Cantor’s work present in Mathematics, Computer Science and Philosophy.

Course details

In addition to the University's standard entry requirements, you should have:

  • a minimum of grades CCE in three A levels or minimum grades BB in at least two A levels, one of which must be from mathematics or numerate subjects (or a minimum of 80 UCAS points from an equivalent Level 3 qualification, eg BTEC Level 3 Extended Diploma/Diploma; or Advanced Diploma; or Progression Diploma; or Access to HE Diploma with 60 credits)
  • English Language and Mathematics GCSE at grade C (grade 4 from 2017) or above (or equivalent)

Applicants with relevant professional qualifications or extensive professional experience will also be considered on a case by case basis.

If you don't have traditional qualifications or can't meet the entry requirements for this undergraduate degree, you may still be able to gain entry by completing our Mathematics (including foundation year) BSc (Hons). You could also take a look out our Mathematical Sciences BSc (Hons) and Mathematical Sciences (including foundation year) BSc Hons course offerings if you have other previous experience.

Accelerated study

If you have relevant qualifications or credit from a similar course it may be possible to enter this course at an advanced stage rather than beginning in the first year. Please note, advanced entry is only available for September start. See our information for students applying for advanced entry.

Accreditation of Prior Learning

Any university-level qualifications or relevant experience you gain prior to starting university could count towards your course at London Met. Find out more about applying for Accreditation of Prior Learning (APL).

English language requirements

To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a Student visa (previously Tier 4) you may need to provide the results of a Secure English Language Test (SELT) such as Academic IELTS. This course requires you to meet our standard requirements.

If you need (or wish) to improve your English before starting your degree, the University offers a Pre-sessional Academic English course to help you build your confidence and reach the level of English you require.

You'll be assessed through tests, exams, essays, individual and group research projects, and a final year dissertation. You'll receive regular, supportive feedback throughout the course.

This degree will prepare you for a career in not just mathematics but in a number of fields where a good head for numbers is essential. You could go on to work in the computing, finance, scientific research and development or statistical industries to name but a few.

Many of our previous graduates have gone on to complete a PGCE in Secondary Mathematics and become mathematics teachers or tutors. Others have found work in related fields, such as international analysis and reporting at Time Inc UK, and accounting at Brackman Chopra LLP.

Please note, in addition to the tuition fee there may be additional costs for things like equipment, materials, printing, textbooks, trips or professional body fees.

Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.

Discover Uni – key statistics about this course

Discover Uni is an official source of information about university and college courses across the UK. The widget below draws data from the corresponding course on the Discover Uni website, which is compiled from national surveys and data collected from universities and colleges. If a course is taught both full-time and part-time, information for each mode of study will be displayed here.

How to apply

If you're a UK applicant wanting to study full-time starting in September, you must apply via UCAS unless otherwise specified. If you're an international applicant wanting to study full-time, you can choose to apply via UCAS or directly to the University.

If you're applying for part-time study, you should apply directly to the University. If you require a Student visa, please be aware that you will not be able to study as a part-time student at undergraduate level.

When to apply

The University and Colleges Admissions Service (UCAS) accepts applications for full-time courses starting in September from one year before the start of the course. Our UCAS institution code is L68.

If you will be applying direct to the University you are advised to apply as early as possible as we will only be able to consider your application if there are places available on the course.

To find out when teaching for this degree will begin, as well as welcome week and any induction activities, view our academic term dates.