Mathematics

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Mathematics Degree BSc (Hons) | Edge Hill University

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Mathematics

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Mathematics BSc (Hons)

UCAS code: G100

Enjoy problem solving, logical thinking and analytical skills? Deepen your understanding of mathematical concepts and their applications with our BSc (Hons) Mathematics degree.

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Overview

Course length:

3 years full-time

Start dates:

September 2027

Location:

Edge Hill University

Example offers:

BBC-BBB (A Level) or DMM (BTEC)112-120 UCAS Tariff points View full entry criteria

Subject(s):

Faculty:

Arts and Sciences

Department:

Maths is a universal language with global recognition in industry and academic environments. Having a mathematics degree will open doors to many different careers and provides you with many different skills including analytical thinking, problem solving skills, critical reasoning, attention to detail, persistence, abstract thinking, curiosity, and logical structure.

Ignite your passion for mathematical exploration and its real-world applications. Through hands-on applications of maths, you’ll gain practical experience using software tools and data analysis techniques that are sought after in today’s data-driven world.

Develop a deep understanding of mathematical concepts and their significance in diverse fields. Study areas such as calculus, algebra, statistics, and discrete mathematics. You will cover advanced topics such as differential equations, and linear algebra, providing a robust foundation for both theoretical exploration and practical problem-solving.

This programme hones your attention to detail and accuracy. You will develop your communication skills, enabling you to articulate complex mathematical concepts with clarity and precision.

BSc (Hons) Mathematics will also enhance your quantitative skills and critical reasoning abilities, regardless of your specific career goals. Grow your passion for mathematics and develop your intellectual, practical, and transferable skills which are essential for employment.

You’ll also get the chance to shape your mathematics degree around your interests and career goals. In your final year, you’ll specialise in exciting areas such as financial mathematics, medical mathematics, or operational research in mathematics and develop skills and expertise that set you apart.

We’ll also give you the chance to spend a year in industry, gaining hands-on experience with leading employers. Or you may choose to study abroad with one of our international university partners, expanding your academic horizons and immersing yourself in a new culture. These experiences will not only help you build valuable professional skills but also broaden your network, giving you the edge in a competitive job market.

An accredited degree

This course will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications (IMA), when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.

Institute of Mathematics & ITS Applications

Course features

International students can apply

Studying abroad option available

Sandwich year option available

Professional accreditation

What you'll study

Teaching and assessment

In Year 1 of your maths undergraduate degree, you will delve into a wide array of essential calculus topics, covering core theorems such as the Mean-Value Theorem and the Fundamental Theorem of Calculus. We’ll cover a diverse range of topics that hold significant relevance in modern-day problem-solving, including applications in technologies like Google Maps and navigators. You will also study an employability-focused module, focusing on topics such as professional development, job-seeking skills, and effective communication.

Compulsory modules:

Expand all

Calculus 1

Calculus 1 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 applications will be key in developing your critical thinking and analytical skills in this module.

Module code: MMT1001

Credits: 20 Assessment:

100% Coursework

Calculus 2

Calculus 2 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 differentiation techniques to approximate derivatives of functions, and introduce techniques that enable you to approximate solutions to differential equations, which are crucial in modelling various scientific and engineering phenomena.

Module code: MMT1002

Discrete Mathematics

Discrete Mathematics 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. You'll be empowered to navigate complex scenarios, from economics and business to social and political interactions.

Module code: MMT1004

Introduction to Statistics

Introduction to Statistics 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 of this module is dealing with outliers and missing data, which provides you with the techniques to handle data discrepancies effectively.

Module code: MMT1003

Linear Algebra

Linear Algebra 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 advance your study of linear algebra, and confidently apply your skills across scientific and engineering domains.

Module code: MMT1005

Professional Practice I

Professional Practice I 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.

Module code: MMT1000

On the second year of your degree, you will study four compulsory modules and be given the opportunity to select two out of four optional modules. You’ll build on your understanding of calculus and statistical analysis, while learning the fundamentals of number theory.

Advanced Calculus

Advanced Calculus 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 is essential in various scientific and engineering fields.

Module code: MMT2001

Computational Applied Mathematics

Computational Applied Mathematics 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.

Module code: MMT2006

Professional Practice II

Professional Practice II 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 potential learning experiences, and be supported in your preparation for assessment and future employment.

Module code: MMT2000

Statistical Inference

Statistical Inference 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.

Module code: MMT2003

Complex Analysis

Complex Analysis 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.

Module code: MMT2007

Groups, Rings and Fields

Groups, Rings and Fields 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.

Module code: MMT2004

Probability Theory

Probability Theory 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 probability, and stochastic processes, providing a holistic understanding of advanced statistical methods.

Module code: MMT2005

Number Theory

Number Theory 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.

Module code: MMT2002

In Year 3, you’ll be given the opportunity to work on a research project and complete two compulsory modules as well as choose two out of four optional modules. The research project will be a unique project of your choice while the two compulsory modules include multivariable calculus and statistical modelling.

Multivariable Calculus

Multivariable Calculus 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.

Module code: MMT3001

Research Project

Research Project 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.

Module code: MMT3000

Credits: 40 Assessment:

Statistical Modelling

Statistical Modelling 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.

Module code: MMT3003

Dynamical & Chaotic Systems

Dynamical & Chaotic Systems 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.

Module code: MMT3006

Financial Mathematics

Financial Mathematics 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 degree.

Module code: MMT3004

Medical Statistics

Medical Statistics explores key concepts and methodologies crucial to the field of health research. You will become equipped with the analytical tools necessary for understanding, conducting, and critically evaluating medical studies. You will delve into the fundamental objectives of health research, which include disease detection, control, prevention, and understanding causality. You will develop a strong foundation in medical statistics, essential for deciphering the intricate landscape of health research and will be empowered to contribute meaningfully to the advancement of medical knowledge and the improvement of healthcare practices.

Module code: MMT3005

Operational Research

Operational Research delves into the diverse range of mathematical and analytical techniques essential for solving complex real-world problems. You will study linear and dynamic programming, graph theory, recurrence relations, decision analysis and various optimisation methods. You will gain a hands-on experience with operational research software packages and engage in case studies for practical application. This comprehensive module equips you with valuable skills for data-driven decision-making across various industries.

Module code: MMT3002

How you'll study

The delivery of your maths degree is based on a combination of lectures and tutorials. Lectures will cover the theoretical background of the subject matter, enabling you to gain a systematic understanding of the theoretical concepts outlined on each module. Tutorial sessions will be used to develop and reinforce your understanding of the theoretical methods and mathematical concepts covered in lectures, as well as develop your maths skills and knowledge of the topics covered on each module.

Lectures and tutorials will be delivered on campus. Corresponding lecture notes and supporting material will be made available on the Institutional Virtual Learning Environment (VLE), which will be accessible to you through the Web.

How you'll be assessed

Your assessments will take the form of assessed coursework, small group presentations, and class tests depending on each module.

You’ll also receive written and verbal feedback throughout your modules. This includes classroom discussions on key mathematical concepts introduced during the formal weekly lectures, and feedback on draft submissions of your assessed work. It is designed to promote your participation and engagement throughout the programme as well as facilitate an in-depth understanding of the summative assessment criteria. You will complete weekly exercises, partly in the weekly tutorial sessions and during your independent study. Feedback will be given on your work on these exercises to monitor your progress and provide early support, if needed.

Who will be teaching you

You will be taught by staff who are passionate about student learning and development, while also benefitting from guest lectures delivered by industry experts. The mathematics team are specialists in various branches of maths and computing and are active researchers. Their research feeds directly into the teaching of the programme, ensuring that you will learn about the latest developments within the subject while gaining the skills and knowledge required to meet industrial needs.

Timetables for your first week are normally available at the end of August prior to enrolment in September. You can expect to receive your timetable for the rest of the academic year during your first week. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week. Wednesday afternoons are normally reserved for sports and cultural activities.

Where your course includes optional modules, these are to provide an element of choice within the course curriculum. The availability of optional modules may vary from year to year and will be subject to minimum student numbers being achieved. This means that the availability of specific optional modules cannot be guaranteed. Optional module selection may also be affected by timetabling requirements. Some restrictions on optional module choice or combinations of optional modules may apply.

Entry criteria

Typical offer 112-120 UCAS Tariff points. This must include A Level Mathematics at Grade B or above, or equivalent.

Example offers

Qualification

Requirement

BBC-BBB.

UCAS Tariff points

112-120 points.

BTEC Extended Diploma (or combination of BTEC QCF qualifications)

Distinction, Merit, Merit (DMM).

Overall grade of Merit.

International Baccalaureate (IB)

We are happy to accept IB qualifications which achieve the required number of UCAS Tariff points. Subject-specific requirements at Higher Level (HL) Grade 5 may apply.

Access to Higher Education Diploma

45 credits at Level 3, for example 15 credits at Distinction and 30 credits at Merit or 24 credits at Distinction and 21 credits at Merit. The required total can be attained from various credit combinations.

Please note, the above examples may differ from actual offers made. A combination of A Level and BTEC awards may also be accepted.

If you have a minimum of two A Levels (or equivalent), there is no maximum number of qualifications that we will accept UCAS points from. This includes additional qualifications such as Extended Project Qualification (EPQ), AS Levels that haven't been continued to A Level, and General Studies AS or A Level awards.

English language requirements

International students require IELTS 6.0, with a score no lower than 5.5 in each individual component, or an equivalent English language qualification.

Fair Entry Criteria

Our new Fair Entry Criteria is a Contextual Admissions Policy that takes an applicant’s personal and educational background into account. This policy will allow eligible applicants to receive up to a two-grade reduction in their entry requirements for this course. Find out more and see if you qualify.

For further information on how you can meet the entry requirements

International

If you don't meet the entry criteria, you might be interested in...

STEM Foundation Year

How to apply

Apply full-time

Apply online through UCAS

Read our guide to applying through UCAS to find out more about the application process.

Apply as an international student

This course is now closed to international applicants for September 2026 entry.

Should you accept an offer of a place to study with us and formally enrol as a student, you will be subject to the provisions of the regulations, rules, codes, conditions and policies which apply to our students. These are available at www.edgehill.ac.uk/studentterms.

Did you know?

If you join a full time undergraduate degree at Edge Hill University, we will guarantee you the offer of a room in our halls of residence for the first year of your course.

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Facilities

Mathematics is based in the state-of-the-art £13m Tech Hub. This purpose-built development offers outstanding contemporary facilities including our Harvard style lecture theatre. With specialist modern laboratories containing comprehensive test and measurement equipment, you’ll find high-specification computers, high-resolution screens and the latest hardware and software.

As a mathematics student you will have access to a variety of mathematics software to support your learning, including Microsoft EXCEL, SPSS software, Autograph and Microsoft Mathematics. Graphics Calculators will also be available to loan from the Catalyst building, home to our library and learning spaces that’s open 24/7 in term-time.

Where you'll study

Classroom 360 View

Tech Hub

Tuition fees

UK Full-Time

For the academic year 2027/28, the UK Full-Time tuition fee is currently set to £10,050. Please note this is subject to Parliamentary approval and is likely to be increased in line with inflation (RPIX). There may be further inflationary increases in your subsequent years of study. Further details can be found at ehu.ac.uk/fees.

EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme, as well as Irish nationals, may be eligible for the UK tuition fee rate.

Financial support

Subject to eligibility, UK students joining this course can apply for a Tuition Fee Loan from the Government to cover the full cost of tuition fees. UK students enrolling on the course may also be eligible to apply for additional funding to help with living costs.

Scholarships

We offer a range of scholarships, which celebrate the determination, commitment and achievement of our students. Many of our scholarships are awarded automatically. There are some however, where you will need to be involved in an application or nomination process. To find out more about our scholarships and check your eligibility, please visit our dedicated scholarships pages.

Money Matters

Please view the relevant Money Matters guide for comprehensive information about the financial support available to eligible UK students.

EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme may be eligible to apply for financial support. Irish nationals can ordinarily apply to Student Universal Support Ireland (SUSI).

If you are an EU student who does not have settled or pre-settled status, or are an international student from a non-EU country, please see our international student finance pages.

For the academic year 2026/27 the UK Full-Time tuition fee is currently set to £9,790. Please note this is subject to Parliamentary approval and is likely to be increased in line with inflation (RPIX). There may be further inflationary increases in your subsequent years of study. Further details can be found at ehu.ac.uk/fees.

Your future career

Graduating with a maths degree will ensure you have a versatile skill set that enhances your employability. BSc (Hons) Mathematics opens doors to a range of career opportunities and provides you with the tools to excel in a wide range of careers. Many maths graduates pursue careers in fields such as science, engineering, finance, data analysis, teaching and various other areas where a solid foundation in mathematics holds utmost importance.

Careers in maths offer competitive salaries due to the specialised nature of the skills acquired. The types of roles available to a graduate with a BSc Mathematics include:

Statistician and mathematical modeller

Actuary operational researcher

Management consultant

Data analyst

Computer scientist

Commodity trading adviser

Teacher of mathematics, following a one year PGCE course

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