BA (Hons) Mathematics with Philosophy (Placement Year) Bachelor's degree at Lancaster University
BA (Hons) Mathematics with Philosophy (Placement Year) at Lancaster University integrates mathematical theory with philosophical enquiry, allowing you to develop rigorous analytical skills across both disciplines.
About this course
Find out more about studying Mathematics with Philosophy (Placement Year) BSc Hons (GV16) at Lancaster University From the provider’s course page.
BA (Hons) Mathematics with Philosophy (Placement Year) is a Bachelor's degree (BA (Hons)) at Lancaster University, based in Bailrigg Campus, Lancaster. It runs 4 years, studied full-time.
For Mathematics graduates from this provider, 87% were in work or further study 15 months after graduating, 80% in highly skilled roles, typical earnings around £30,000. (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)
Limited evidence Published sample: 25; treat comparisons cautiously. Cohort 2022-23. Graduate Outcomes work or further study 87% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 93% (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 6 modules
- History of Philosophy: Ideas that Shaped the WestCore
Module details
From questions about truth, justice, and knowledge to debates over freedom, power, and human purpose - how has philosophical inquiry shaped cultural, political, and scientific life across centuries? In this module you will explore the major ideas and traditions that have guided the development of Western thought. Specific thinkers examined will vary from year to year, but they will include philosophers whose ideas have helped shape philosophical viewpoints, categories and boundaries in the western philosophical tradition. You will be encouraged to think about the problems and limitations of different thinkers’ approaches, and their impact on the way we practice and understand the boundaries
- Knowledge and Reality in a Complex WorldCore
Module details
What is real, how can we know, and how can we check our reasoning? In this module you will study philosophical tools for reasoning and arguing (critical thinking) and discover fundamental philosophical questions about knowledge (epistemology) and the nature of reality (metaphysics). In studying critical thinking, you will learn methods of constructing and analysing arguments and acquire basic logical terminology. In exploring epistemology, you’ll discuss questions such as: what exactly is it to ‘know’ something? Can we know anything at all? Are there alternative knowledges? In metaphysics, you will consider questions such as: what is the fundamental nature of reality? How are we to understan
- Logic and Discrete MathematicsCore
Module details
At university, emphasis is placed on understanding general mathematical theorems. They apply in many different cases, and understanding why a result is true enables us to creatively use the underlying ideas to tackle new problems. Study the language and structure of mathematical proofs, illustrated by results from number theory. You will see the concept of congruence of integers, which is a simplified form of arithmetic where seemingly impossible problems become solvable. In relation, you’ll encounter the abstract idea of an equivalence relation. Sets and functions form the basic language of mathematics. You will study functions of a real variable and abstract functions between arbitrary set
- Matrices and CalculusCore
Module details
Interested in how mathematicians build theories from basic concepts to complex ideas, like eigenvalues and integration? Journey from polynomial operations to matrices and calculus through this module. Starting with polynomials and mathematical induction, you will learn fundamental proof techniques. You will explore matrices, arrays of numbers encoding simultaneous linear equations, and their geometric transformations, which are essential in linear algebra. Eigenvalues and eigenvectors, which characterise these transformations, will be introduced, highlighting their role in applications including population growth and Google's page rankings. Next, we will reintroduce you to calculus, from its
- Probability and StatisticsCore
Module details
An introduction to the mathematical and computational toolsets for modelling the randomness of the world. You will learn about probability, the language used to describe random fluctuations, statistics and the mathematical techniques used to extract meaning from data. You will explore how computing tools can be used to solve challenges in scientific research, artificial intelligence, machine learning and data science. You will develop the axiomatic theory of probability, discover the theory and uses of random variables and investigate how theory matches intuitions about the real-world. You will then dive into statistical inference, learning to select appropriate probability models to describ
- Symmetry and SequencesCore
Module details
Symmetry is central to our understanding of a range of subjects, from the structure of molecules to the roots of polynomials. In this module, you will see how group theory naturally appears whenever we look at symmetry. Using familiar examples, including symmetries of regular polygons, rotations and reflection matrices, roots of 1 in the complex plane, and permutations, you will define what makes a group and how this can provide a unifying language, highlighting connections between seemingly different subjects. You will then transition into mathematical analysis, developing an approach to sequences, limits, and continuity that provides the foundation for calculus. Examining a range of exampl
Year 2 9 modules
- Abstract AlgebraCore
Module details
Ever wondered about the hidden structures that govern mathematics? Algebra is more than just equations, it's the language of symmetry and structure, underpinning subjects ranging from geometry and quantum mechanics to number theory and cryptography. The main frameworks for modern algebra are group theory and ring theory. Group theory topics include classifying symmetries, the symmetric group, Lagrange's theorem and the first isomorphism theorem. Similarly, ring theory explores the notions of subrings, ideals, and homomorphisms in an example-driven methodology, using abstract number systems, polynomial structures, and matrices. This module introduces the essential theory and techniques for al
- Complex AnalysisCore
Module details
The success of Newton/Leibniz’s calculus raises the question: what happens if we replace the real numbers with the complex numbers? After all, their arithmetic structure is similar, and we can measure distances between points in both. You will learn how to define the derivative of a complex function as usual and explore the behaviour of functions that are complex differentiable. Everything resembles the real case, ultimately leading to the astonishing result that if a complex function can be differentiated once, it can be differentiated infinitely often and is expressed by its Taylor series. Integral calculus for complex functions opens a route towards evaluating definite integrals that cann
- Linear AlgebraCore
Module details
Building on your knowledge of vectors and matrices, this module explores the elegant framework of linear algebra, a powerful mathematical toolkit with remarkably diverse applications across statistical analysis, advanced algebra, graph theory, and machine learning. You'll develop a comprehensive understanding of fundamental concepts, including vector spaces and subspaces, linear maps, linear independence, orthogonality, and the spectral decomposition theorem. Through individual exploration, small-group collaboration, and computational exercises, you'll gain both theoretical insight and practical skills. The module emphasises how these abstract concepts translate into powerful problem-solving
- Real AnalysisCore
Module details
Continuing with your study into real numbers, you will explore their completeness (the idea that there are no ‘gaps’, unlike in the rationals). This completeness will be used to understand the limits of sequences, convergence of series, and power series. This framework will allow for precision when exploring continuity, differentiability, and integrability of functions of a real variable, providing an improved foundation for calculus. That will enable you to understand when it is appropriate to use calculus; for instance, in proving theorems in other areas of mathematics, such as mathematical physics, probability and number theory. The cornerstone of mathematical analysis is the construction
- Continental PhilosophyOptional
Module details
In the nineteenth and twentieth centuries, a new approach to philosophy began to emerge that questioned and interrogated the inherited western philosophical tradition from Plato to Kant. This new approach was later described as ‘continental’ philosophy. In this module, you will discover some of the key thinkers from this continental tradition of philosophy. The particular philosophers will vary from year to year, but will include pioneering thinkers who have been particularly influential on later continental philosophers (for example, Hegel, Kierkegaard, Nietzsche and Wittgenstein) as well as more recent continental thinkers themselves (for example, Lyotard, Derrida, Levinas, Badiou, Žižek,
- Language, Communication and KnowledgeOptional
Module details
Critically engage with questions and debates about our socially connected lives and the ways in which we interact and act on the world through language and communication, individually and as a society, to shape knowledge and reality. In this module you will gain the skills and insight to ask questions which change each year but may include: How does communication work in our individual and collective lives? How might certain kinds of communication bring about ethical and political change (for example, by making something permissible or changing the boundaries of acceptable political discourse)? Are lying and other kinds of deception permissible, and if so, when and for whom? What does freedo
- Mind, World and ScienceOptional
Module details
What does it take to have a mind? How does science work? Does human reason equip us to understand the external world? In this module we explore the nature of consciousness and reality, and the methods by which we understand them, focussing on key debates in the philosophy of mind and philosophy of science. In the first part of the module, you will explore what it takes to have a mind, examining and critiquing some of the wide range of answers philosophers have offered to this intractable problem. Questions you will investigate include: What is the relationship between the mind and the brain? How do animal minds or artificial intelligence fit into our understanding of thought and consciousnes
- Philosophy Guided ProjectOptional
Module details
Create a portfolio of investigative and critical writing which explores a particular philosophical topic in depth. In this module you will be guided with expert support from Lancaster philosophers to develop your philosophical and independent study skills. Through deep engagement with a specific topic you will develop your ability to assess philosophical arguments and make independent judgements, informed by reasoning and evidence. You will engage with a text, problem, figure or body of work chosen by an academic within the philosophy team at Lancaster who is a specialist on the topic and work with their expert support, in groups and independently. Project topics offered each year will be dr
- Applied Philosophy: Decisions that Change the WorldOptional
Module details
Explore how philosophical thinking can tackle real-world problems, from personal dilemmas to global challenges, by linking abstract ideas to concrete decisions. In this module you will engage with an applied philosophical challenge, using your philosophical skills to provide compelling reasons in favour of your solution. Through production of a short podcast or in-person presentation, you will also develop your ability to engage in philosophical argumentation beyond the written word. And along the way, you’ll gain the tools to think clearly, act responsibly, and engage thoughtfully with the complex world around you. Specific topics studied each year draw on Lancaster’s wide range of applied
Year 3 1 modules
- PlacementCore
Module details
You will spend this year working in a graduate-level placement role. This is an ideal opportunity to gain experience in an industry or sector that you might be considering working in once you graduate. Although it's up to you to find your placement we'll support you all the way. Our Careers Service will provide guidance on CVs, applications, interview techniques and creating a digital profile.
Year 4 13 modules
- Commutative AlgebraOptional
Module details
Commutative rings generalise both integers and polynomials and they play a very important role in a wide area of mathematics. As well as being important in algebra, they sit at the heart of algebraic approaches including geometry and number theory, in part because rings of functions occur so naturally there, as they do in analysis. At this stage, you will already know how to factor and divide integers and polynomials. Therefore, a crucial question is to understand the factorisability and divisibility properties in more general commutative rings. For example, what is the analogue of the set of prime integers, or which are the invertible elements? You will seek to answer these questions, begin
- Graph Theory and AlgorithmsOptional
Module details
The study of graphs (mathematical objects used to model networks and pairwise relations between objects) is a cornerstone of discrete mathematics. Graphs can represent important real-world situations, and the study of algorithms for graph-theoretical problems has strong practical significance. You will learn about structural and topological properties of graphs, including graph minors, planarity and colouring. We will introduce several theoretical tools, including matrices relating to graphs and the Tutte polynomial. We will also study fundamental algorithms for network exploration, routing and flows, with applications to the theory of connectivity and trees, considering implementation, proo
- Hilbert SpacesOptional
Module details
An inner product space is a real or complex vector space, equipped with certain extra structure that formalises the geometrical notion of orthogonality. It turns out that each inner product space has an intrinsic notion of distance, allowing us to discuss convergence and completeness. Complete inner product spaces are known as Hilbert spaces. The theory of Hilbert spaces blends linear algebra and (real) analysis. It is a natural and powerful tool for studying problems of quantitative approximation. Furthermore, it provides an abstract framework that can be applied to diverse areas of maths, from differential equations and spectral theory to quantum mechanics and stochastic processes. This mo
- Knots and GeometryOptional
Module details
Knots play a fundamental role in many areas of mathematics, from pure topology and algebra through to quantum field theory and protein-folding. Develop tools to measure knottedness, including geometrical ideas like curvature, knot invariants like the Jones polynomial, and the crucial concept of the fundamental group, which has applications in topology far beyond detecting knots.
- Linear SystemsOptional
Module details
Linear systems of differential and integral equations provide a mathematical model for a wide range of real-world devices, including communication systems, 5G networks, electrical circuits, heating systems and economic processes. Mathematical analysis of these models gives insight into the behaviour of these devices, with applications in automatic control, signal processing, wireless communications and numerous other areas. Linear systems are considered in continuous time that reduce to a standard (A,B,C,D) state space representation. Via the Laplace transform, these are reduced further to rational transfer functions. Linear algebra enables us to classify and solve (A,B,C,D) models, while we
- Mathematical CryptographyOptional
Module details
The module commences by looking at classical methods of encryption, discussing their advantages, disadvantages and efficiency. You will also investigate statistical attacks on these methods of encryption and the need for better methods. After this, you will explore modern methods of encryption that are used in the real-world and rely on the robustness of modular arithmetic. While most encryption methods are still considered secure, you will review potential attacks on these systems (e.g. factorisation algorithms) and situations where bad key generation or implementation has occurred. Production of a big enough quantum computer renders the above schemes useless. Therefore, you will dive into
- Metric Spaces and TopologyOptional
Module details
A metric space consists of a set, whose elements are called points, and a notion of distance between points governed by three simple rules, abstracted from basic properties of Pythagorean distance in the Euclidean plane. In examples, ‘points’ may be functions where uniformity of convergence can be captured, or binary sequences with applications in computer science, or even subsets of a Euclidean space delivering fractal sets as limits. Topology goes further, abstracting the notions of continuity and convergence, rendering a teacup and doughnut indistinguishable. A topological space equips each of its ‘points’ with its so-called ‘neighbourhoods’. The few simple principles governing these unlo
- Philosophy and Popular CultureOptional
Module details
From music, film, and television to sports, fashion, and digital media, explore how cultural texts raise philosophical questions about identity, morality, power, and meaning, and examine how popular culture both reflects and shapes the way we understand ourselves and the world around us. In this module you will look at how philosophers have understood the production, circulation and reception of popular culture, and how it bears on our own autonomy, agency, power, and identity. You will study themes which may include: Philosophical approaches to mass culture, cultural value, art, and aesthetic judgement Authorship, mass production, genre, kitsch, remix, and the ontology of reproducible artwo
- Philosophy For Times of Global CrisisOptional
Module details
Interconnected global crises and states of ‘polycrises’ or ‘wicked problems’ impact upon the daily lives of millions of people across the globe. Environmental, financial, security, diplomatic, political and military concerns all pose acute problems of knowledge and understanding, require individual and collective action, and raise questions around duties and rights for addressing multi-faceted complex problems. Philosophical reasoning can play a key role in helping individuals, politicians, states and societies navigate these challenges, and in shaping and critiquing the principles for taking action. In this module you will actively work on developing your own philosophical contributions to
- Philosophy Independent ProjectOptional
Module details
In this module you will develop either a single extended piece or a portfolio of independent philosophical work. This may take the form of either (1) a philosophical dissertation or (2) a communication and engagement portfolio of outward-facing philosophical work targeting a diverse range of audiences. 1) Dissertation Independent research and sustained long-form writing making up the core of professional academic philosophical study. With the Dissertation option, you have the opportunity to demonstrate your research and writing ability via completion of an independent dissertation project. You will identify a specific philosophical topic from the wide range of research specialisms within Phi
- Questions at the Frontiers of PhilosophyOptional
Module details
Engage with cutting-edge philosophical research, working with an academic philosopher on the topic of their live philosophical project and expertise. In this module you may be: Reviewing and critically commenting on the chapters of a manuscript Reading an academic’s recent publications and coming up with further questions and challenges to build on their ideas Discussing your module supervisor's new research and it's relevancy to contemporary philosophical debates In student-led and discussion-based workshops you will present your own summaries and arguments, take part in guided debates, and work on the challenge of your final written piece: a paper which is not only informed by, but may its
- Representation TheoryOptional
Module details
Study the structure of intricate mathematical objects, such as groups and rings, by looking at linear approximations of them. Linear approximation is such a fundamental idea that it extends throughout mathematical sciences, cropping up in quantum physics and topological data analysis. Explore representations of finite groups before passing to algebras and modules, which are ‘vector spaces’ over rings. You will look at the atomic theory of representations: the simple and indecomposable representations that are their building blocks. Can we describe all the building blocks? Attempting to answer this leads us to complete reducibility for representations of finite groups (Maschke's theorem) and
- Textual Explorations in PhilosophyOptional
Module details
Engage with a significant philosophical text or collection of texts, working with an academic philosopher on the topic of their live philosophical project and expertise. In this module you will: Read deeply Develop interpretations Make reasoned assessments Find and engage with secondary literature Contribute to contemporary understanding and critique of your text(s) In student-led and discussion-based workshops, you will present your own philosophical interpretations and arguments, take part in guided debates, and work on a portfolio of critical readings. In doing so you will be joining the practice, shared by all professional philosophers, of contributing to the understanding and developmen
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
You'll study both mathematics and philosophy, with a placement year embedded in your degree. A typical mathematics course progresses from foundational theory, calculus, linear algebra and probability, through to advanced analysis, abstract algebra and differential equations. From year 2 onwards, you'll usually specialise in areas such as pure mathematics, statistics and data, financial mathematics, applied and modelling, operational research, or an actuarial pathway. Alongside this, philosophy modules will develop your critical thinking and reasoning skills in dialogue with mathematical concepts. You'll typically undertake numerical methods, independent projects, or research-level options in your final year. Your placement year provides practical experience in industry or research, then you'll return to complete your degree.
Who it's for
This course suits students with strong analytical abilities and curiosity about both mathematical structures and philosophical questions. Most entrants held A-levels or equivalent qualifications; accepted students typically had a UCAS tariff of 144–159 points. You should be comfortable with abstract thinking and enjoy exploring how mathematical reasoning intersects with philosophical inquiry. The placement year makes this particularly valuable if you're considering careers that value both technical and critical thinking skills.
Careers & job market
Nationally, 89% of mathematics graduates are in work or further study within 15 months of graduating. Of those working, 75% are in highly skilled roles or pursuing further study. Starting salaries across mathematics graduates range from £27,000 to £34,000 at 15 months post-graduation, rising to £32,300–£45,600 after five years. These are national figures from Graduate Outcomes and Longitudinal Education Outcomes data, not guaranteed individual salaries. The placement year strengthens your CV and professional network, supporting transition into graduate roles or postgraduate study.
University & format
Lancaster University is a public university founded in 1964, based at Bailrigg Campus in Lancaster. This is a full-time, 4-year course taught in English, including a dedicated placement year. Lancaster's degrees are recognised as UK degree-awarding qualifications. The university received a Silver rating for teaching quality in the Office for Students' TEF 2023 and is.
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.
Provider-published requirement; check the linked course page before applying.
Placement year. Availability, selection and pay can vary.
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 | 95% |
Entry & your chances
An honest read from the official entry data, plus your personal match.
Accepted students typically held strong UCAS tariffs. Check how your predicted grades compare and whether a contextual offer applies.
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 GV16). 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 Lancaster University →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 | £30,000 | £27,000 – £34,000 | 25 |
| 3 years after | £29,500 | £24,500 – £37,000 | 175 |
| 5 years after | £38,500 | £30,000 – £48,000 | 185 |
Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 25; treat comparisons cautiously. Cohort 2022-23.
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: 2022-23. Limited evidence. Published sample: 25; treat comparisons cautiously. Cohort 2022-23. 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.
UK occupations graduates enter
Published graduate destinations, joined conservatively to UK SOC 2020, ONS pay and Skills England demand.
- Business, Research and Administrative ProfessionalsSOC 2020 243 · 30% of published destinations · ASHE median £48,746
- Finance ProfessionalsSOC 2020 242 · 15% of published destinations · ASHE median £47,173
- Teaching and Childcare Support OccupationDiscover Uni category · 15% of published destinations
- Business and public service associate professionalsSOC 2020 35 · 10% of published destinations · ASHE median £38,760
- Information Technology ProfessionalsSOC 2020 213 · 10% of published destinations · ASHE median £55,357
Discover Uni JOBLIST/JOBTYPE; ONS ASHE 2025 provisional, all employee jobs; Skills England Occupations in Demand 2025. SOC is shown only for an exact normalised label match; demand is shown only at exact four-digit SOC. Published sample: 35; response rate: 65%. Pay describes the occupation across workers, not a guaranteed graduate salary.
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.
Is 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
87% were in work or further study 15 months after graduating, with a median salary of £30,000. 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 8.9 out of 10: NSS 86.4% · in work or study 87% · continued 93%.
Who studies here and in this subject?
Provider- and UK subject-level context.
The University of Lancaster
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 Bailrigg Campus, Lancaster
28 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 Lancaster University from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by Lancaster University; 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 Lancaster University’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 Lancaster University and gov.uk before you apply.
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