BSc (Hons) Mathematics Bachelor's degree at Edge Hill University
BSc (Hons) Mathematics at Edge Hill University was founded in 2006 and is a nationally recognised UK degree. Edge Hill holds Silver for teaching quality in the Office for Students' TEF 2023.
About this course
BSc (Hons) Mathematics is a Bachelor's degree (BSc (Hons)) at Edge Hill University, based in Ormskirk. It runs 3 years, studied full-time.
For Computer science graduates from this provider, 85% were in work or further study 15 months after graduating, 70% 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 Computer Science, 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: 20; treat comparisons cautiously. Cohort 2022-23. Graduate Outcomes work or further study 85% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 88% (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
- Calculus 1Compulsory20 credits
Module details
Covers a wide range of topics, building a strong foundation in this branch of maths. You'll look at core theorems such as the Mean-Value Theorem and the Fundamental Theorem of Calculus. Essential concepts such as limits, continuous and differentiable functions will enable you to gain a deep understanding of functions' behaviours. You'll study hyperbolic functions and their identities, and how these can be applied in areas such as physics and engineering. Problem-solving exercises and real-world
Assessment: 100% Coursework
- Calculus 2Compulsory20 credits
Module details
Extends your awareness of the different types of first order differential equations, and explores methods of solving them. You'll learn essential tools and techniques to solve problems in calculus, approximation, integration, differentiation, differential equations, and error analysis. The module explores the concept of interpolation, approximation and delves into numerical integration, exploring methods that provide numerical approximations for definite integrals. We'll cover numerical differen
Assessment: 100% Coursework
- Discrete MathematicsCompulsory20 credits
Module details
Prepares you for your future career by addressing real-world challenges. Topics such as critical path analysis will provide an insight into project management, allowing you to identify the most critical tasks and optimise project timelines. You'll also look at modern-day problem solving, including applications in technologies like Google Maps and navigators. This module introduces you to game theory, which is a powerful tool for decision-making and strategy analysis in competitive situations. Yo
Assessment: 100% Coursework
- Introduction to StatisticsCompulsory20 credits
Module details
Provides you with a solid understanding of statistical methods and their practical application in data analysis. You'll use statistical software for data analysis, and explore various data sampling and collection techniques. We'll cover the modelling of both discrete and continuous data, providing insights into time series analysis to examine trends and patterns over time. You'll also explore concepts of skewness and kurtosis for understanding data distribution characteristics. A crucial aspect
Assessment: 100% Coursework
- Linear AlgebraCompulsory20 credits
Module details
Delves into the connections between algebra and geometric transformations. You'll explore vectors, matrices, and linear equations. Matrix transformations and determinants will be covered, which enhances your ability to manipulate complex transformations and reveal intrinsic matrix properties. We'll use Gaussian elimination to solve systems of linear equations, as well as highlighting eigenvectors and eigenvalues for understanding linear transformation behaviour. This module prepares you to advan
Assessment: 100% Coursework
- Professional Practice ICompulsory20 credits
Module details
Focuses on developing the academic skills necessary for higher education. We'll help you gain transferable skills to use in multiple scenarios, including collaborative work, communication and presenting information in written and verbal formats. You'll be encouraged to reflect and ask questions as you learn, helping you to reach your potential in your future learning experiences.
Assessment: 100% Coursework
Year 2 8 modules
- Advanced CalculusCompulsory20 credits
Module details
Will build on what you've learnt in Calculus 1 and Calculus 2. You'll delve into the concepts of double integrals and their practical applications, including determining centres of mass in two dimensions. The module provides a deeper understanding of infinite sums and their convergence, along with De Moivre's Theorem and it's relevance in physics and engineering. The study of partial derivatives and higher order partial derivates equips you to analyse and optimise multivariable functions, which
Assessment: 100% Coursework
- Computational Applied MathematicsCompulsory20 credits
Module details
Introduces you to mathematical methods commonly used in computer programming and uses Python to demonstrate these. You will have the opportunity to apply the mathematical concepts learnt during your programme to real-world scenarios, using state-of-the-art computational tools focusing on the Python language. Python is widely used in maths research, as well as in the majority of industry applications, increasing your employability.
Assessment: 100% Coursework
- Professional Practice IICompulsory20 credits
Module details
Is designed to prepare you for the world of employment through facilitating self-reflection and analysis. Subject specific content is a key focus of this module. You will develop and use a range of skills, such as research and analysis. These skills will be used to complete a subject-related group project, including the development of strategies to help determine solutions to a given scenario. You will be encouraged to become a reflective and questioning learner, enabling you to maximise any pot
Assessment: 100% Coursework
- Statistical InferenceCompulsory20 credits
Module details
Explores fundamental concepts in statistical analysis. You'll gain the skills to draw meaningful conclusions from data, while delving into the powerful world of hypothesis testing. Learn how to formulate hypotheses, calculate test statistics, and assess the significance of results using critical values and p-values. This module also introduces contingency tables and the Chi-squared distribution, which provide valuable insights into the relationships between categorical variables.
Assessment: 100% Coursework
- Complex AnalysisOptional20 credits
Module details
Can be defined as calculus applied to functions of a complex variable. This is a powerful and useful theory with a large number of applications spanning from fractals and dynamical systems, to mathematical modelling. This module will enhance your skills in understanding complex mathematical texts, working with abstract concepts, designing solutions to problems logically and communicating mathematical ideas effectively.
Assessment: 100% Coursework
- Groups, Rings and FieldsOptional20 credits
Module details
Are important maths concepts that play a crucial role in mathematics. Their origin stems from algebraic properties of numbers, sets, and other basic mathematical entities. You will focus on the understanding of groups of small order, their classification and the construction of subgroups of given order including the Sylow's Theorem. You will explore a wide range of theories and investigate relevant real-world applications, such as encryption, internet algorithms and methods.
Assessment: 100% Coursework
- Probability TheoryOptional20 credits
Module details
Explores advanced probability and statistical concepts. You will cover a wide array of topics, including probability distributions such as uniform, exponential, gamma, normal, and chi-squared, emphasizing their interrelationships and real-world applications. You will delve into the realm of random variables, understanding their probability spaces, expected values, and practical implications, even in contexts like gambling games. You will be introduced to Bayesian probability, conditional probabi
Assessment: 100% Coursework
- Number TheoryOptional20 credits
Module details
Introduces you to a branch of mathematics that delves into the unique characteristics and relationships of whole numbers. You'll be provided with essential skills in performing division operations and understanding the concepts of quotient and remainder. Classical theorems like Fermat's theorem, Wilson's theorem, and Euler's theorem will be explored. You'll be able to understand the significance of these and witness their application in diverse mathematical contexts.
Assessment: 100% Coursework
Year 3 5 modules
- Multivariable CalculusCompulsory20 credits
Module details
Offers an exciting journey into the world of vectors, integrals and coordinate systems in three-dimensional space. You'll develop a deeper understanding of the multivariable calculus concepts that underlie numerous real-world applications, in fields such as physics, engineering and computer graphics. Through a combination of theoretical study and practical applications, you'll gain proficiency in working with vectors, integrals, and various coordinate systems.
Assessment: 100% Coursework
- Research ProjectCompulsory40 credits
Module details
Gives you the opportunity to complete your own research and development project. You'll use the transferable skills you have learned throughout your degree, such as problem-solving, communication and time management. Under the guidance of a supervisor, you'll conduct in-depth work on a substantial problem, which includes researching and analysing the problem, and finding a solution.
Assessment: 100% Coursework
- Statistical ModellingCompulsory20 credits
Module details
Is designed to prepare you for the demands of statistics as an ever-growing subject area. We'll enhance your employability skills through exploring essential statistical techniques and methods used in data analysis and inference. You'll be equipped with a diverse skill set to tackle a wide range of research questions and data analysis challenges in various professional settings.
Assessment: 100% Coursework
- Dynamical & Chaotic SystemsOptional20 credits
Module details
Will focus on the theory and applications of mathematical models of dynamical systems (discrete and continuous). You will study topics such as linear and non-linear equations, linear and non-linear systems of equations, bifurcation, chaos, fractals and fixed points.
Assessment: 100% Coursework
- Financial MathematicsOptional20 credits
Module details
Will equip you with the mathematical tools required to tackle complex real-world financial challenges. You will explore investment analysis, risk mitigation, portfolio optimisation, and the pricing of financial derivatives, all of which are pivotal in the finance sector. Financial mathematics serves as a universal language underpinning the global finance landscape, making it an essential and versatile area of study for your
Assessment: 100% Coursework
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 core computer science concepts, beginning with programming fundamentals in languages such as Python and Java, alongside computer systems architecture and discrete mathematics. Year 2 typically progresses to algorithms, data structures, databases and software engineering methods, introducing artificial intelligence and machine learning. In Year 3, you'll choose from specialisations such as cybersecurity, data science, software engineering, artificial intelligence, systems and networks, or human-computer interaction, complete security and networks study, and undertake an individual software project. This structure moves you from foundational coding and theory through practical system design to applied specialism and independent technical work.
Who it's for
Most entrants hold A-levels or equivalent qualifications; 89% of accepted students came in with these. The typical UCAS tariff band among accepted students is 112–127 points. The course suits those interested in mathematics and its applications across computing and technology.
University & format
This degree is studied full-time over 3 years at Edge Hill University, a public university in Ormskirk. The course is taught in English. Edge Hill is a recognised UK degree-awarding body, so your BSc (Hons) Mathematics is nationally recognised. The university received a Silver award for teaching quality in the Office for Students' TEF 2023 assessment.
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.
Year in industry. 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 | 89% |
| an Access course | 8% |
| another higher-education qualification | 2% |
| a previous degree | 1% |
Entry & your chances
An honest read from the official entry data, plus your personal match.
Entry is set by the university and based on your offer. Use your predicted grades to see how you compare, then check the university's stated requirements.
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 G100). 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
Provider fee page (England 2026/27 cap where not stated).
Check fees at Edge Hill 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 Computer Science 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 | £24,000 – £38,000 | 20 |
| 3 years after | £23,500 | £19,500 – £28,000 | 185 |
| 5 years after | £28,500 | £23,500 – £36,000 | 190 |
Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 20; treat comparisons cautiously. Cohort 2022-23.
Graduate outcomes, 15 months on: this course
- 1Graduate / Junior DeveloperFirst engineering role · 0–2 yrs
- 2Software EngineerShipping features end-to-end · 2–5 yrs
- 3Senior / Lead EngineerOwning systems and mentoring · 5–9 yrs
- 4Principal / Engineering ManagerArchitecture or leading teams · 9+ yrs
How pay grows: this course vs Computer Science nationally
National figures for Computer Science 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: 20; 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 Computer Science courses at the same study level.
Compared with 1,820 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.
- Information Technology ProfessionalsSOC 2020 213 · 35% of published destinations · ASHE median £55,357
- Science, engineering and technology associate professionalsSOC 2020 31 · 20% of published destinations · ASHE median £34,828
- Elementary occupationsSOC 2020 9 · 10% of published destinations · ASHE median £19,087
- Business and public service associate professionalsSOC 2020 35 · 10% of published destinations · ASHE median £38,760
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: 80; response rate: 65%. Pay describes the occupation across workers, not a guaranteed graduate salary.
Job market & outlook
How Computer Science 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
- Boilerplate and scaffolding code
- First-pass tests and docs
- Routine debugging and refactors
- Standard data wrangling
More human than ever
- System design and architecture trade-offs
- Reviewing and owning correctness & security
- Translating fuzzy problems into software
- Leading delivery and mentoring
The strongest graduates pair subject depth with the ability to use AI tools critically.
Roles & employers
Where Computer Science 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
- Tech companies
- Banks & fintech
- Consultancies
- Government (GDS) & startups
Jobs after this course
Current roles from the StudySmarter job board that suit Computer Science graduates.
Software Developer Placement Programme No experience neededIT Online LearningSoftware Developer - .NET & Azure for Green Energy ProjectsOfgemSoftware Developer Backend (SFIA5)ZaiziSoftware Developer (Mobile Apps) in Guildford - ECM Selection (Holdings) LimitedJava Script WorksSoftware Developer (Contract) – Higher Education Projects (UK)Burman RecruitmentSoftware Developer – Distributed Scheduling & Workload OrchestrationCGG Services (UK) LimitedIs 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
85% 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 8.5 out of 10: NSS 81% · in work or study 85% · continued 88%.
Who studies here and in this subject?
Provider- and UK subject-level context.
Edge Hill University
Computing across the UK
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around Ormskirk
220 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 Computer Science right for you?
Tick what applies to you and see how good a fit it is.
International students
What applying to Edge Hill University from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is £14,500 / year for this course (from the provider’s fee page). 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 Edge Hill 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 Edge Hill University and gov.uk before you apply.
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Common questions
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