BSc (Hons) Mathematical Sciences Bachelor's degree at London Metropolitan University
BSc (Hons) Mathematical Sciences at LMU. You'll study across core theory, research and methods, applied practice, specialist options, an independent project, and professional skills.
About this course
If you love maths but have missed out on formal qualifications, this degree course at London Met will help you develop your skills and knowledge. Apply now. From the provider’s course page.
BSc (Hons) Mathematical Sciences is a Bachelor's degree (BSc (Hons)) at LMU, based in North. It runs 3 years, studied full-time.
For Mathematical sciences graduates from this provider, 95% were in work or further study 15 months after graduating, typical earnings around £31,500. (HESA Graduate Outcomes / LEO, via Discover Uni.)
For the typical curriculum, specialisations, career paths and graduate earnings for Mathematics, see the sections below.
Course evidence score
The arithmetic mean of the official measures available for this course: NSS satisfaction, graduate activity and continuation.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Stronger evidence Published sample: 3,990. Cohort 2021-22. Graduate Outcomes work or further study 95% (2021-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 75% (2022-23; Discover Uni snapshot 2026-06-21)
Curriculum & modules
Real modules published for this course, grouped only where the source gives a year, stage or level.
Year 1 7 modules
- Data Analysiscore15 credits
Module details
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 Mathematicscore15 credits
Module details
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 mak
- Graph Theorycore15 credits
Module details
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 Mathematicscore15 credits
Module details
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.
- Logic and Mathematical Techniquescore30 credits
Module details
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 and related applications in Computer Science, Computer Games Programming, Computer Systems Engineering and Robotics and Electronics and Internet of Things.
- MAPLE Programmingcore15 credits
Module details
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 Proofscore15 credits
Module details
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.
Year 2 7 modules
- Algebracore15 credits
Module details
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 a
- Differential Equationscore15 credits
Module details
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.
- Further Mathematical Techniquescore15 credits
Module details
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.
- Project Managementcore15 credits
Module details
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.
- Computational Mathematics30 credits
Module details
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. The aims are: To enable students to apply approximation techniques to problems of both theoretical and practical importance and understand the cause of and interpret the degree of error involved. To prepare students with the tools necessary for solving a range of problems in situa
- Group Theory and Vector Spaces30 credits
Module details
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 introdu
- Statistical Methods and Modelling Markets30 credits
Module details
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 sof
Year 3 10 modules
- Academic Independent Studycore15 credits
Module details
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
- Career Development Learning
- Integral and Vector Calculus
- Mathematical Modelling
- Analysis
- Category Theory
- Cryptography and Number Theory
- Error Correcting Codes
- Forecasting
- Mathematics of Infinity
Source: provider course page. Modules can change; required/optional status, credits, descriptions and assessment are shown only when explicitly published.
Course in depth
What this course covers, who it suits and where it leads.
What you'll study
This degree is designed for students who have passion for mathematics but may lack formal qualifications, offering you the chance to develop your mathematical skills and knowledge from the ground up. You'll usually begin with foundational modules in calculus, linear algebra, and probability & statistics. In your second year, you'll progress to deeper theory through real and complex analysis, abstract algebra, and differential equations with modelling. By your final year, you'll choose specialist options, such as pure mathematics, statistics and data, financial mathematics, applied and modelling, operational research, or an actuarial pathway, alongside numerical methods and computation, culminating in a project or advanced topics. A course like this typically balances rigorous theory with practical problem-solving.
Who it's for
This course suits students with strong mathematical foundations. Most accepted students held A-levels or equivalent qualifications, typically with a UCAS tariff of 80–95 points. You should be prepared for rigorous theoretical study alongside practical application and independent research.
University & format
This BSc (Hons) Mathematical Sciences is delivered full-time over 3 years at London Metropolitan University, a public university located in North London. Instruction is in English. The degree is awarded by a recognised UK degree-awarding body, so your qualification is nationally recognised. The university received a Silver award for teaching quality in the Office for Students' TEF 2023.
Student satisfaction
How students on this course answered the National Student Survey, by theme.
Share of students responding positively.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Applicant information
The next application dates for this course, followed by facts the provider publishes.
- 2027 entryCompleted applications can be submitted
Your application needs a reference before you can send it.
- 2026 entryFinal date for 2026 applications
Applications must reach UCAS by 18:00 UK time.
- 2026 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
- 2027 entryEqual-consideration deadline
18:00 UK time for most undergraduate courses.
Show 5 later dates
- 2027 entryUCAS Extra opens
Applicants who used all five choices and hold no offer may be able to add another choice.
- 2027 entryLast day applications go directly to providers
Applications received after 18:00 UK time are entered into Clearing.
- 2027 entryClearing opens
Eligible applicants can see vacancies and release themselves into Clearing.
- 2027 entryFinal date for 2027 applications
Applications must reach UCAS by 18:00 UK time.
- 2027 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
See and book current events. Dates can fill or change.
Entry & how to get in
Who gets in
What recently admitted students actually held, official admissions data, not a stated requirement.
UCAS tariff of entrants
Grades are the A-level equivalent of each points band. Tap a band to check your own chances below.
Qualifications held on entry
| Qualification | Share |
|---|---|
| A-levels or equivalent | 80% |
| another higher-education qualification | 10% |
| a previous degree | 5% |
| No / unknown prior qualifications | 5% |
Entry & your chances
An honest read from the official entry data, plus your personal match.
Accepted students came in with a broad spread of qualifications and UCAS points. If you're worried about grades, this course has historically taken a wide range, and contextual offers may apply.
Will you get in? Plot your grades
Pick your predicted A-levels and watch your UCAS points land on the real spread of students admitted to this course.
Each bar is the share of admitted students in that UCAS-points band (lower → higher). Grades show the A-level equivalent.
Based on the official admitted-student tariff distribution. Many universities make contextual (reduced-grade) offers, so a result below the range doesn’t rule you out.
How to apply
Undergraduate applications go through UCAS. Here’s what matters for this course, the right deadline, the grades to aim for, and the steps in order.
- 1Register on UCAS Hub
Create your UCAS application and add this course (code G101). One application covers up to five choices.
- 2Write your personal statement
A single statement covers all your choices, so keep it broad enough for similar courses while showing genuine interest in this subject.
- 3Submit by 13 January 2027, 18:00 UK time
UCAS equal-consideration deadline for most undergraduate courses. Source: UCAS 2027 dates.
- 4Reply to your offers
When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.
- 5Results day & confirmation
On results day (mid-August) your place is confirmed if you meet the offer. Just missed? Talk to the university, or find a place through Clearing.
Fees & funding
What this course costs and how UK student finance covers it.
Tuition per year
Standard capped home fee at English providers (2026/27); Scotland, Wales & NI differ.
Check fees at LMU →For students who normally live in England
2026/27 Student Finance England figures. Maintenance support is means-tested and this two-point view is not an entitlement calculator. The course total uses its published length and home fee where both are available; a missing full-time fee uses the clearly labelled England-cap scenario, while part-time fees and unknown lengths are never guessed. Use the official calculator. Scotland, Wales and Northern Ireland use separate systems: SAAS, Student Finance Wales, and Student Finance NI.
Starting on or after 1 January 2027?
The Lifelong Learning Entitlement is a separate system. A new learner’s tuition entitlement is currently stated as £39,160 (about 480 credits at 2026/27 fee levels), subject to prior study and eligibility. Check the official LLE guide.
Paying for it
- Tuition Fee Loan: can cover eligible tuition up to the applicable limit and is paid straight to the provider.
- Maintenance Loan: up to £10,830/yr away from home outside London (England, 2026/27), means-tested on household income.
- Repayment: 9% of income above £25,000, nothing below it; written off after 40 years.
- Earn alongside: most students work part-time in term, part-time roles on the StudySmarter job board.
England figures shown; Scotland, Wales & NI run their own schemes, check gov.uk.
Scholarships & bursaries you could qualify for
That does not mean no funding exists. Check the university directory for current amounts, eligibility and application dates.
We only display a named award when its provider source identifies the award and who it is for.
Still deciding what to study?
StudyKit brings course choice, applications and funding together in one place, with a personal AI assistant. Find what really fits you and start your UCAS application step by step.
Careers & earnings
What Mathematics graduates actually earn, from real outcome data, 15 months, 3 years and 5 years after graduating.
Graduate earnings: this course
| When | Median | Typical range | Graduates |
|---|---|---|---|
| 15 months after | £31,500 | £27,000 – £37,000 | 3990 |
| 3 years after | £26,500 | £18,500 – £32,000 | 40 |
| 5 years after | £34,000 | £23,500 – £39,500 | 40 |
Nominal earnings for graduates of this course/subject at this provider. Stronger evidence. Published sample: 3,990. Cohort 2021-22.
Graduate outcomes, 15 months on: this course
- 1Graduate roleFirst role after the degree · 0–2 yrs
- 2Specialist / PractitionerWorking in mathematics · 2–5 yrs
- 3Senior / LeadLeading work and people · 5–10 yrs
- 4Head of / ExpertSenior leadership or deep expertise · 10+ yrs
How pay grows: this course vs Mathematics nationally
National figures for Mathematics graduates, HESA Graduate Outcomes (15 months) and the Longitudinal Education Outcomes (LEO) dataset (3 & 5 years). These are national, not university-specific; actual pay varies by employer, region, role and experience. Different cohorts, so the bars are not one group over time.
Work out your pay
Headline figures hide a lot. Calculate realistic take-home pay for this field by role, region and experience, then check your CV before you apply.
What happened to 100 students?
Choose an outcome to translate the published percentage into a simple 100-person view. Each dot represents one percentage point, not an individual tracked student.
were in work or further study
15 months after graduation
Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2021-23. Stronger evidence. Published sample: 3,990. Cohort 2021-22. Each tab is a separate published measure; categories can overlap and should not be added together.
Value compared with similar courses
How this course’s 5-year median earnings compare with Mathematics courses at the same study level.
Compared with 421 courses with compatible official earnings data. This is a course-value comparison, not a quality ranking.
Job market & outlook
How Mathematics graduates fare in the labour market, and how AI is reshaping the work.
How AI is changing the work
AI doesn't replace the profession, it shifts it: routine tasks get automated, while judgement, working with people and using AI well become more valuable.
What AI takes off your plate
- Routine information gathering
- First-draft writing and summaries
- Standard analysis and admin
- Repetitive processing tasks
More human than ever
- Judgement and original thinking
- Working with and leading people
- Owning and sense-checking AI output
- Ethics and accountability
The strongest graduates pair subject depth with the ability to use AI tools critically.
Roles & employers
Where Mathematics graduates typically go, indicative destinations from graduate career data. Each role links to live openings on the StudySmarter job board.
Roles graduates go into
Where they work
- Banks & insurers
- Consultancies
- Government statistics
- Tech companies
Jobs after this course
Current roles from the StudySmarter job board that suit Mathematics graduates.
Mathematics Expert - 34877TuringMathematics Academic Mentor (Secondary School)Ribbons and Reeves LimitedMathematics Graduate Get into IT and Data Analytics Royston HertsProxime LimitedMathematics Department Lead for Strategic ExcellenceSupply Star Recruitment LimitedMathematicsHaysIs this course right for you?
The essentials UK applicants ask about: finance, outcomes, entry and quality.
Student finance
For comparison, the standard full-time England tuition cap is up to £9,790 per year in 2026/27; the actual fee varies by course and provider. If you normally live in England, eligible students can apply for a Tuition Fee Loan, plus a Maintenance Loan for living costs. Under Plan 5 you repay 9% of income above £25,000, nothing below that, and the balance is written off after 40 years.
Where graduates go
95% were in work or further study 15 months after graduating, with a median salary of £31,500. See the full breakdown in Careers & earnings above.
Your entry chances
Use the UCAS points calculator above to see how your predicted grades compare with admitted students, and whether a contextual offer could apply.
Official-data snapshot
Averaging the official measures published for it, this course scores 8.8 out of 10: NSS 92.9% · in work or study 95% · continued 75%.
Who studies here and in this subject?
Provider- and UK subject-level context.
London Metropolitan University
Mathematical sciences across the UK
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around North
5,613 street-level reports returned within roughly one mile across 2026-04 to 2026-06.
Police.uk street-level API. Approximate locations, not confined to campus. England, Wales and Northern Ireland; not Scotland.
Is Mathematics right for you?
Tick what applies to you and see how good a fit it is.
International students
What applying to LMU from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by LMU; international fees are typically £12,000–£30,000/year for classroom subjects and higher for lab/clinical ones. You’re not eligible for UK Tuition Fee or Maintenance Loans, so plan for fees plus living costs upfront.
English language
Most UK undergraduate courses ask for around IELTS 6.0–6.5 (no band below 5.5–6.0), or an accepted equivalent. If you’re just short, most universities run a pre-sessional English course that counts towards the requirement.
Student visa
You’ll usually need a Student visa (Student Route). After you accept an offer the university issues a CAS; you then show funds for fees plus about £1,023–£1,334/month living costs and pay the Immigration Health Surcharge for NHS access.
Scholarships & funding
Many universities offer international/global scholarships (often £2,000–£6,000/yr), check LMU’s funding pages.
Living costs
Budget roughly £1,100–£1,400/month outside London and £1,400–£1,800/month in London for rent, food and travel; the figure also matters for your visa.
Working while you study
A Student visa usually allows up to 20 hours/week in term time and full-time in holidays, useful alongside study, though not something to rely on for fees.
Visa rules and fees change. Always confirm the current requirements with LMU and gov.uk before you apply.
Related courses
More at LMU
Common questions
How competitive is entry?
What are the entry requirements?
What do graduates go on to do?
What will it cost me?
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