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Mathematical Sciences - BSc (Hons)

Why study this course?

If you love mathematics but have missed out on formal qualifications, this course will help you develop knowledge and skills in your areas of interest. You’ll enhance your problem-solving, mathematical reasoning, statistics, research and IT skills. In the most recent (2015-16) Destinations of Leavers from Higher Education (DLHE) survey, 100% of graduates from this course were in work or further study within six months.

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This course gives you the chance to build on the areas of mathematical science that you’re interested in by offering a wide variety of optional modules. Choose from topics such as financial mathematics, coding theory, and algebra and analysis.

You’ll gain a broad knowledge of the fundamentals of mathematics, as well as the skills to apply your knowledge to a variety of contexts. You’ll develop problem-solving skills, IT proficiency and research techniques, as well as learning about the ways maths might be used in the workplace.

You’ll have the opportunity to gain hands-on experience through our World of Work (WoW) Agency, which provides services to external clients. You can earn while you learn through real, paid jobs – such as maths tutoring – and boost your CV at the same time.

Assessment

You're assessed through a variety of methods such as coursework, problem-solving case studies, essays, exams, group work in the form of oral presentation and written reports, an individual portfolio and a final dissertation.

Professional accreditation

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

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

  • a minimum of grades CDE in three A levels or BC in at least two A levels (or a minimum of 96 UCAS points from an equivalent Level 3 qualification, eg BTEC Level 3 Extended Diploma/Diploma, Advanced Diploma, Progression Diploma, Access to HE Diploma with 60 credits)
  • GCSE English and Mathematics 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.

Applicants with relevant professional qualifications or extensive professional experience will also be considered.

All applicants must be able to demonstrate proficiency in the English language. Applicants who require a Tier 4 student visa may need to provide a Secure English Language Test (SELT) such as Academic IELTS. For more information about English qualifications please see our English language requirements.

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.

The modules listed below are for the academic year 2017/18 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 include:

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

    This module develops the mathematical and statistical tools that are used in mathematics of finance. It also introduces methods of analysing data using appropriate financial and statistical software.

    Read full details.
  • This module currently runs:
    • all year (September start) - Thursday morning

    This module develops a range of mathematical techniques including set theory, logic, relations and functions,algebra, differentiation and integration. The techniques provide the foundation for further study of mathematics, computer science and computer games.

    Read full details.
  • This module currently runs:
    • all year (September start) - Monday morning

    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. This module also introduces a mathematical programming package that is commonly used for solving a variety of problems. The application of these techniques, through the medium of mathematical problems enables the student to become proficient in the use of algebraic software.

    Read full details.
  • This module currently runs:
    • all year (September start) - Thursday afternoon

    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.
    The topics covered in the second term part of this module is to introduces the main ideas of graph theory and includes a variety of algorithms.

    Read full details.

Year 2 modules include:

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

    The module covers basic mathematical techniques of differential and integral calculus and of linear algebra that will be of later use throughout Mathematics and related degree courses. 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 and linear algebra form an important foundation for further studies in Mathematics, Finance, Statistics and Engineering.

    Read full details.
  • This module currently runs:
    • all year (September start) - Thursday afternoon

    This module enables the student to further develop and apply numerical techniques to a range of problems including the solution of ordinary differential equations related to both physical and financial/economic models.

    Read full details.
  • This module currently runs:
    • spring semester - Tuesday afternoon

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

    Read full details.
  • This module currently runs:
    • autumn semester - Tuesday afternoon

    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.

    Read full details.
  • This module currently runs:
    • all year (September start) - Monday afternoon

    The topics covered in the first term of this module is to introduce formal inductive and recursive structure on the natural numbers. This structure underlies many aspects of program design and validation, and formal methods. An introduction to combinatorics and the generetaing functions are designed to enhance the students algorithmic tool set.

    The topics covered in the second term 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 repectively. 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.

    Read full details.
  • This module currently runs:
    • all year (September start) - Tuesday morning

    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 financial problems.

    Read full details.

Year 3 modules include:

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

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

    Read full details.
  • This module currently runs:
    • all year (September start) - Wednesday afternoon

    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 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.

    Read full details.
  • This module currently runs:
    • autumn semester - Wednesday afternoon
    • spring semester - Wednesday afternoon

    This module serves as a core module for all maths students to do a one-semester project in the broader sense and as an alternative to the Faculty’s 30 credit Project module. 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. Although students can take this module in either autumn or spring period, the majority are expected to take this in spring.
    4. The starting date of the module should be flexible; students may start the work during summer or winter vacation on mutual agreement with their supervisors though majority may start in January.

    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, just like our traditional one-semester project, 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.

    Read full details.
  • This module currently runs:
    • all year (September start) - Wednesday afternoon
    • spring semester - Wednesday afternoon
    • autumn semester - Wednesday afternoon

    The module enables students to demonstrate their acquired knowledge and skills through a systematic and creative investigation of a project work, either individually or as part of a group, in accordance with their course requirements. The topic of investigation will cover a broad spectrum of various analysis and techniques and will lead to a comprehensive and concise academic/industry-related report. Students will be assisted in exploring areas that may be unfamiliar to them and encouraged to develop innovative ideas and techniques. Students will be able to choose a project that may require the solution to a specific problem, creation of an artefact in a real-world environment or an investigation of innovative ideas and techniques related to an area within their field of study. Collaboration with outside agencies and projects with industrial, business or research partners/ sponsors will be encouraged.

    Read full details.
  • This module currently runs:
    • all year (September start) - Wednesday morning

    This module extends students’ knowledge of linear algebra and calculus, providing greater depth and rigour for these essential topics.

    Read full details.
  • This module currently runs:
    • all year (September start) - Friday afternoon

    The module is an introduction to modern ideas in coding and 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.
    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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  • This module currently runs:
    • all year (September start) - Thursday afternoon

    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 require developing problem solving skills. For each given problem, the process of dealing with it includes, searching for appropriate data set, establishing the right statistical/financial techniques to use, fitting appropriate models, critically appraise the models using diagnostic model tools and finally interpreting the models and draw conclusions.

    Read full details.
  • This module currently runs:
    • autumn semester - Wednesday afternoon
    • spring semester - Wednesday afternoon

    The module enables students to undertake an appropriate short period of 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 a professional training, a volunteering activity, employment activity, an activity within the School of Computing and Digital Media Virtual Business Environment (VBE), placement or business start-up activity.
    For the purpose of this module – the FOC VBE will be also be recognised as ‘the employer’.

    It is expected student should work for 150 hours which should be recorded clearly (in a learning log for instance) in the portfolio. The 150 hours can be completed in 25 working days in a FT mode, or spread over a semester in a PT mode.

    Students should register with the module leader to be briefed on the module, undergo induction and Work Based Learning planning and to have the Work Based Learning approved, before they take up the opportunity. It is essential that students are made aware that both the “Work Based Learning agreement” and relevant “health and safety checklist” where applicable need to be approved before starting the learning activity.

    Read full details.

If you're studying full-time, each year (level) is worth 120 credits.

Year 1 (Level 4) modules include:

  • Financial Mathematics with Statistics 1
  • Logic and Mathematical techniques
  • Mathematical Proof and Structures
  • Mathematical Programming

Year 2 (Level 5) modules include:

  • Calculus and Linear Algebra
  • Computational Mathematics
  • Differential Equations
  • Project Management
  • Discrete Mathematics and Group Theory (option)
  • Financial Mathematics with Statistics 2 (option)

Year 3 (Level 6) modules include:

  • Academic Independent Study
  • Further Calculus
  • Mathematical Modelling
  • Project
  • Algebra and Analysis (option)
  • Financial and Statistical Modelling (option)
  • Cryptography and Coding Theory (option)
  • Work-related Learning 2 (optional)

“I have decided to do this course because I love mathematics and this course has given me the opportunity to deepen this love. I am able to study modules that I enjoy with other students who share the same interests as me. There are friendly teachers, well-equipped labs and the library staff are very helpful and encourage me to explore more fields of mathematics.”

“At London Met I don’t feel as though I only study mathematics, I feel like I’m part of a community of people who share the passion I feel for the subject and the drive to do well. If I could give any advice to anyone thinking of joining the mathematics subject area at London Met it would be stop thinking and secure your place - you will never look back.”

You'll graduate this course with skills in mathematics, statistics, operational research and IT – all of which are highly sought after by employers in a number of sectors. Our previous graduates have gone on to roles such as analysts and financial advisors.

You'll also have the opportunity to study modules that are particularly relevant in the workplace, such as mathematical modelling, simulation and data mining.

This course is also excellent preparation for postgraduate study. Previous students have gone on to enrol on the PGCE in Secondary Mathematics Teaching course, and become secondary school teachers.

Between 2016 and 2020 we're investing £125 million in the London Metropolitan University campus, moving all of our activity to our current Holloway campus in Islington, north London. This will mean the teaching location of some courses will change over time.

Whether you will be affected will depend on the duration of your course, when you start and your mode of study. The earliest moves affecting new students will be in September 2018. This may mean you begin your course at one location, but over the duration of the course you are relocated to one of our other campuses. Our intention is that no full-time student will change campus more than once during a course of typical duration.

All students will benefit from our move to one campus, which will allow us to develop state-of-the-art facilities, flexible teaching areas and stunning social spaces.

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.

Unistats is the official site that allows you to search for and compare data and information on university and college courses from across the UK. The widget(s) below draw data from the corresponding course on the Unistats website. If a course is taught both full-time and part-time, one widget for each mode of study will be displayed here.

How to apply

Applying for September 2017

UK/EU students wishing to begin this course studying full-time in September 2017 should apply by calling the Clearing hotline on .

Applicants from outside the EU should refer to our guidance for international students during Clearing.

Part-time applicants should apply direct to the University online.

If you're a UK/EU applicant applying for full-time study you must apply via UCAS unless otherwise specified.

UK/EU applicants for part-time study should apply direct to the University.

Non-EU applicants for full-time study may choose to apply via UCAS or apply direct to the University. Non-EU applicants for part-time study should apply direct to the University, but please note that if you require a Tier 4 visa you are not able to study on a part-time basis.

All applicants applying to begin a course starting in January must apply direct to the University.

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.

Fees and key information

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