School of Engineering, Computing and Mathematics

BSc (Hons) Mathematics with Education

Are you ready to make the difference? Discover the formula to teaching mathematics with our expert staff and world leading researchers. You’ll gain a solid foundation in mathematical and statistical modules, while the final year combines educational theory and school experience. Time spent in the classroom will give you the skills, knowledge and confidence to progress to a teacher training course such as a PGCE, or move into one of many careers where high-level mathematical skills are essential.

Mathematical sciences degrees

This is one of the suite of mathematics undergraduate degrees that we offer. You can find out more about the various options at the link below.

Which mathematics degree is right for me?

Opportunities available...

  • A course-specific scholarship scheme is available: for more information, see the 'Fees, costs and funding' section, below.
  • Excellence schemes: we may make you a personalised offer if you are a strong candidate – visit our webpage for details.
Key features

  • Gain classroom experience in a placement module, supporting mathematics teaching in a secondary or primary school for one morning a week throughout your final year. This will help you become an effective communicator.
  • When our new engineering and design facility is launched, students in engineering, science and the arts will have access to a range of specialist equipment and innovative laboratories.
  • Dr Jenny Sharp who leads the Education modules has worked with schools in many different capacities, and is regularly invited to run workshops and masterclasses all around the country, including at the Royal Institution, other universities and in schools.
  • An in-depth individual project gives you an introduction to mathematical educational theory, an ideal preparation for teacher training courses.
  • Help others and gain hands on expertise by taking part in our Mathematics Enrichment Programme activities. You can gradually develop a workshop for a Mathematics masterclass.
  • Gain high level understanding of modern pure and applied mathematics, and statistics; this knowledge base opens up many mathematical careers to you.

Course details
  • Year 1

  • In the first year you’ll study the same modules as students on BSc (Hons) Mathematics. This gives you both the expertise required to be confident in the classroom and also flexibility in your future career choices. Modules include calculus, linear algebra, numerical methods and probability. There is also a module on proof and reasoning that includes more surprising material such as the mathematics of cryptography. You'll also use professional software. The flexibility of the course allows you to change to other mathematics degrees at the end of the first and second years.

    Core modules

    • Stage 1 Mathematics Placement Preparation (BPIE113)

      The route to graduate-level employment is found easier with experience. These sessions are designed to assist students in their search for a year-long placement and in their preparation for the placement itself. Such placements are optional but strongly recommended.

    • Mathematical Reasoning (MATH1601)

      This module introduces the basic reasoning skills needed to develop and apply mathematical ideas. Clear logical thinking is central to the understanding of mathematics. The module explores fundamental properties of prime numbers, their random generation and use in modern cryptography.

    • Linear Algebra and Complex Numbers (MATH1603)

      This module explores the concepts and applications of vectors, matrices and complex numbers. The deep connection between algebra and geometry is explored. The techniques that are presented in this module are at the foundation of many areas of mathematics, statistics, physics, and several other applications.

    • Probability with Applications (MATH1605)

      An understanding of uncertainty and random phenomena is becoming increasingly important nowadays in daily life and for a variety of fields. The aim of this module in probability is to develop the concept of chance in a mathematical framework. Random variables are also introduced, with examples involving most of the common distributions and the concepts of expectation and variance of a random variable.

    • Numerical and Computational Methods (MATH1610)

      This module provides an introduction to appropriate mathematical software, computational mathematics and creating simple computer programs. Students will use mathematical software interactively and also write programs in an appropriate computer language. The elementary numerical methods which underlie industrial and scientific applications will be studied.

    • Calculus (MATH1702)

      Calculus underpins mathematical modelling in science, finance and industry. This module gives students the ability to calculate accurately and efficiently. Key results are proven and calculus is extended to higher dimensions through partial differentiation and multiple integration. The methods covered in this module will be used by students throughout the rest of their degree.

    • Analysis and Group Theory (MATH1704)

      In this module we explore two fundamental areas of pure mathematics. Analysis provides a rigorous foundation of calculus, while group theory introduces important algebraic structures that are used in many branches of pure mathematics and their applications. A rigorous approach will be taken in both topics, with emphasis on proof. Python will be used to illustrate and investigate cutting edge applications.

  • Year 2

  • In Year 2 you'll study a range of modules from real and complex analysis to differential equations giving you further high level mathematical and statistical skills. You’ll also have the opportunity to work with school children as part of our programme of mathematics enrichment activities, or help first year students through our peer assisted learning scheme.

    Core modules

    • Stage 2 Mathematics Placement Preparation (BPIE213)

      These sessions are designed to help students obtain a year-long placement in the third year of their programme. Students are assisted both in their search for a placement and in their preparation for the placement itself.

    • Advanced Calculus (MATH2601)

      In this module the geometrical and dynamical concepts needed to describe higher-dimensional objects are introduced. This includes vector calculus techniques and new forms of integration such as line integration. Students also explore the relations between integration and differentiation in higher dimensional hyperspaces. This knowledge is applied to various real world problems.

    • Statistical Inference and Regression (MATH2602)

      The module provides a mathematical treatment of statistical inference, including confidence intervals and hypothesis testing. Methods of estimation are explored, focusing on maximum likelihood estimation. The module also demonstrates the underlying mathematical theory of the general linear model, through a variety of applications, using professional software.

    • Ordinary Differential Equations (MATH2603)

      The module aims to provide an introduction to different types of ordinary differential equations and the analytical and numerical methods needed to obtain their solutions. Extensive use is made of computational mathematics packages. Applications to mechanical and chemical systems are considered as well as the chaotic behaviour seen in climate models.

    • Mathematical Methods and Applications (MATH2604)

      Vector calculus is extended to higher dimensions and applied to a range of important scientific problems primarily from classical mechanics and cosmology. Differential and integral calculus is applied to the solution of differential equations and the orthogonal functions bases are constructed. The crucial mathematical concepts of integral transforms (Fourier and Laplace) and Fourier series are introduced.

    • Operational Research and Monte Carlo Methods (MATH2605)

      This module gives students the opportunity to work on open-ended case studies in operational research (OR) and Monte Carlo methods, both of which are important methods in, for example, industry and finance. It allows students to work on their own and in teams to develop specific skills in OR and programming as well as refining their presentation and communication skills. The skills in computational simulation developed in this module have many applications.

    • Real and Complex Analysis (MATH2606)

      This module deepens the student’s understanding of real analysis and introduces complex analysis. The important distinction between real and complex analysis is explored and the utility of the complex framework is demonstrated. The central role of power series and their convergence properties are studied in depth. Applications include the evaluation of improper integrals and the construction of harmonic functions.

  • Optional placement year

  • An optional placement in Year 3 to gain valuable paid professional experience and help make your CV stand out. You will be better able to advise your future students on careers.

    Optional modules

    • Mathematics and Statistics Placement (BPIE331)

      A 48-week period of professional training is spent as the third year of a sandwich programme while undertaking an approved placement with a suitable company. This provides an opportunity for the student to gain experience of how mathematics is used in a working environment, to consolidate their previous study and to prepare for the final year and employment after graduation. Recent placement providers include GSK, the Office for National Statistics, NATS (air traffic control) and VW Group.

  • Final year

  • In the final year you'll carry out a year long placement module offering you experience working alongside a mathematics teacher in a primary or secondary school for one morning a week over two terms. Together with our tutorial system, the school placement will strengthen your oral and written communications skills and greatly enhance your employability. You'll also carry out an individual mathematics education project on a topic of your choice. The placement and project combination gives you an ideal start for PGCE teacher training. The degree also gives you excellent prospects in other mathematical careers through a wide choice of final year modules.

    Core modules

    • Professional Experience in Mathematics Education (MATH3603)

      This module provides an opportunity for final year students to gain experience in teaching and to develop their key educational skills by working in a school environment for one morning a week over two semesters.

    • Project (MATH3628)

      Students who have identified a topic of particular interest have the opportunity to study it in a final year project. Students work individually and independently, with help and advice from a supervisor, on the chosen topic. The project is assessed through presentations and the preparation of a dissertation. This is a major piece of work and the project counts as two modules

    Optional modules

    • Geometry and Algebra (MATH3604)

      A review of group theory leads into an exploration of plane affine, hyperbolic, and projective geometries, all from the Kleinian point of view. Then an introduction to rings and fields is given with applications in geometry emphasised. These topics are key ideas in the study of pure mathematics.

    • Partial Differential Equations (MATH3605)

      This module introduces partial differential equations using real-life problems. It provides a variety of analytic and numerical methods for their solution. It includes a wide range of applications including heat diffusion and the Tsunami wave.

    • Classical and Quantum Mechanics (MATH3606)

      All of physics and a large part of applied mathematics is based on classical mechanics and its extension to quantum theory. This module introduces key ideas of these topics to students with a mathematics background. An overarching theme is the key role of symmetry, both for classical motion and quantum behaviour.

    • Optimisation, Networks and Graphs (MATH3609)

      This module introduces the mathematics of continuous and discrete optimisation. It provides the theoretical background and practical algorithmic techniques required to model and solve a diverse range of problems.

    • Electrodynamics and Relativity (MATH3611)

      This module introduces Maxwell's theory of electromagnetism and Einstein's theory of special relativity. It includes a wide range of applications of electromagnetism, the Lorentz transformations and some of the apparent paradoxes of relativity together with their resolution. It also explains why E = mc^2.

    • Data Modelling (MATH3613)

      This module provides an employment relevant tool box of statistical modelling techniques and a rigorous treatment of the underlying mathematics. The Bayesian framework for statistical inference is developed and compared with the classical approach. Important computational algorithms, including Markov Chain Monte Carlo, are described. Application-rich modelling problems are considered.

    • Medical Statistics (MATH3614)

      The content includes the design and analysis of clinical trials, including crossover and sequential designs and an introduction to meta-analysis. Epidemiology is studied, including case-control and cohort studies. Survival analysis is covered in detail. Computer packages are used throughout.

    • Financial Statistics (MATH3623)

      This module introduces students to the concepts and methods of financial time series analysis and modelling and to a variety of financial applications. The module reviews the necessary univariate and multivariate time series models and inferential techniques. Model selection, forecasting and the ‘curse of dimensionality’ problem for high dimensional modelling are treated both analytically and computationally. The R programming language is widely used in this module.

    • Fluid Dynamics (MATH3629)

      Fluid flow problems are at the heart of systems ranging from weather forecasting and climate models to hydroelectricity generation and aerodynamics. They are all formulated mathematically as systems of partial differential equations. These are then solved and the results interpreted for a mixture of theoretical and practical examples of both inviscid and viscous fluid flows. Applications studied include: aeronautics, ocean waves and a variety of industrial topics.

Every undergraduate taught course has a detailed programme specification document describing the course aims, the course structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

The following programme specification represents the latest course structure and may be subject to change:

BSc (Hons) Mathematics with Education programme specification_1202

The modules shown for this course are those currently being studied by our students, or are proposed new modules. Please note that programme structures and individual modules are subject to amendment from time to time as part of the University’s curriculum enrichment programme and in line with changes in the University’s policies and requirements.

In light of the Coronavirus (COVID-19) pandemic, the changeable nature of the situation and any updates to government guidance, we may need to make further, last minute adjustments to how we deliver our teaching and learning on some or all of our programmes, at any time during the academic year. We want to reassure you that even if we do have to adjust the way in which we teach our programmes, we will be working to maintain the quality of the student learning experience and learning outcomes at all times.
Entry requirements

UCAS tariff

112 - 128

A level
112-128 points, to include a minimum of 2 A levels, including B in Mathematics or Further Mathematics. (Pure Maths, Pure and Applied Maths, Maths and Statistics, Maths and Mechanics are also accepted as they are considered the same as the Maths A level). Excluding General Studies.

We do not run an unconditional offer scheme but may make personalised, lower offers to selected candidates.

BTEC
18 Unit BTEC National Diploma/QCF Extended Diploma: DDM to include a distinction in a mathematics subject: individual interview/diagnostic test will be required.

BTEC National Diploma modules
If you hold a BTEC qualification it is vital that you provide our Admissions team with details of the exact modules you have studied as part of the BTEC. This information enables us to process your application quickly and avoid delays in the progress of your application to study with us. Please explicitly state the full list of modules within your qualification at the time of application.

Access
Pass Access to HE Diploma (e.g mathematics, science, combined) with at least 33 credits at merit and/or distinction and to include at least 12 credits in mathematics units with merit. Individual interview/diagnostic test will be required please contact admissions@plymouth.ac.uk for further information.

International Baccalaureate
30 overall to include 5 at Higher Level mathematics. 

Other qualifications are also welcome and will be considered individually, as will be individuals returning to education, email maths@plymouth.ac.uk

Students may also apply for the BSc (Hons) Mathematics with Foundation Year. Successful completion of the foundation year guarantees automatic progression to the first year of any of our mathematics courses.

We welcome applicants with international qualifications. To view other accepted qualifications please refer to our tariff glossary.

Fees, costs and funding

The UK is no longer part of the European Union. EU applicants should refer to our Brexit information to understand the implications.

New Student 2021-2022 2022-2023
Home £9,250 £9,250
International £14,200 £14,600
Part time (Home) £770 £770
Full time fees shown are per annum. Part time fees shown are per 10 credits. Please note that fees are reviewed on an annual basis. Fees and the conditions that apply to them shown in the prospectus are correct at the time of going to print. Fees shown on the web are the most up to date but are still subject to change in exceptional circumstances. More information about fees and funding.

The Plymouth Mathematics Scholarship

Up to £1,000. 

Students are automatically paid £500 for an A in Mathematics A level and/or a further sum of £500 for an A in Further Mathematics. This is awarded to home applicants who put us as their firm choice before the 1 August 2022. The scholarship is paid during your first year.

There are additional prizes and awards to reward high achievement in later years of the degree.

Undergraduate scholarships for international students

To reward outstanding achievement the University of Plymouth offers scholarship schemes to help towards funding your studies.

Find out whether you are eligible and how you can apply

Additional costs

This course is delivered by the Faculty of Science and Engineering and more details of any additional costs associated with the faculty's courses are listed on the following page: Additional fieldwork and equipment costs.

How to apply
All applications for undergraduate courses are made through UCAS (Universities and Colleges Admissions Service). 

UCAS will ask for the information contained in the box at the top of this course page including the UCAS course code and the institution code. 

To apply for this course and for more information about submitting an application including application deadline dates, please visit the UCAS website.

Support is also available to overseas students applying to the University from our International Office via our how to apply webpage or email admissions@plymouth.ac.uk.

Progression routes

International progression routes

The University of Plymouth International College (UPIC) offers foundation, first-year and pre-masters programmes that lead to University of Plymouth degrees. Courses are specially designed for EU and international students who are missing the grades for direct entry to the University, and include full duration visa sponsorship. You can start in January, May or September, benefitting from small class sizes, top-quality tuition and 24/7 student support.


Find out more at plymouth.ac.uk/upic or contact our team at info@upic.plymouth.ac.uk

  • 6 Benefit from outstanding teaching: in the National Student Survey 2021, 93% agreed that, "Staff are good at explaining things", placing us in the top 10 of universities for Mathematics.*
  • r Accredited by the Institute of Mathematics and its Applications

Discover mathematics at Plymouth

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Mathematics with education students working on outreach as part of the Mathematics Enrichment Project

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Studying mathematics with education
Graduates are prepared for teacher training and for other mathematical careers.

Studying mathematics at Plymouth
This short film will help you discover what studying one of the range of mathematics degrees at Plymouth is like.

Welcome to mathematics and statistics at University of Plymouth

Mathematics: supporting you to succeed
You are supported by an open door policy, a personal tutor system, peer assisted learning and much more

Join in our conversation on Twitter:

Why mathematics matters

Student Thomas Woodland-Scott tells us why children should learn about mathematics, and the opportunities that come from pursuing a mathematics degree.

Paul Gerry: why choose to study mathematics with education?

The reason why I chose mathematics with education is that the specialism of the education comes in the final year. I wanted to get a feel for if teaching is the right thing for me. The course is the reason why I came to Plymouth.
Rebecca Dodge: PGCE student and winner of IMA Scholarship

Rebecca Dodge: PGCE student and winner of IMA scholarship

Having the support of a project mentor throughout my final year project meant that I could further my understanding of mathematics within education and how to research literature, analyse it and draw conclusions, all within the confines of a word limit. 
<p>Callum Patmore – BSc (Hons) Mathematics<br></p>

Student profile: Callum Patmore

I would highly recommend taking a mathematics degree as it opens your eyes to the language of the universe and how things truly work. 
The most important factor to any student's journey is having lecturers that positively love the subject they teach. Plymouth provides this in so many ways. In the last year of my degree, I undertook a project on the applications of quantum entanglement. I delved into quantum cryptography and used a method called Schmidt decomposition to determine if a state in quantum mechanics is entangled. My project supervisor was Professor David McMullan and he was the greatest, helping me academically and personally through the ups and downs of the final year of my studies. I truly couldn’t have finished the last year without his guidance. Going forward from my degree at Plymouth I am looking into a career as a mathematics educator.

 

Let our graduates inspire you

Luke Cole - Mathematics teacher in Abu Dhabi

"One of my favourite parts of the course was my education project. This allowed me to focus on a key aspect of education that interested me, and through research and analysis produce a document which I have seen have an impact on provision for students. 
The course prepared me for the PGCE in both research and practical skills, putting me in a significantly stronger position than people who had not completed the Mathematics with Education modules.
I am just about to enter my third year in teaching, now in a school in Abu Dhabi. I am truly living my dream life; combining my passion for teaching maths with my love of travelling. Without a doubt, this opportunity has come from completing the BSc (Hons) Mathematics with Education degree and I am incredibly thankful to the course staff who supported me through it and continue to support me to this day.”

<p>Luke Cole, BSc Mathematics graduate<br></p>
 

New engineering and design facility

"The building will provide a state-of-the-art setting to inspire the engineers and designers of tomorrow, making it the ultimate place to bring together students, academics and industry in an environment that not only benefits them but also society as a whole." – Professor Deborah Greaves OBE
Situated on the western edge of our city centre campus, the landmark new facility will provide a home for the School of Engineering, Computing and Mathematics and additional space for the School of Art, Design and Architecture .

<p>New Engineering and Design Facility</p>

Advice on personal statements

"Your personal statement should paint a picture of why you want to study mathematics — use it to show me your enthusiasm for the subject. For example, tell me which topics have particularly excited you, and why."

"Outside interests and work experience can show more about you – have you been a trusted person at work? Have you volunteered to help others learn at school? Have you trained people in a sport? Any of these things makes you a stronger applicant, so do mention them, but remember to keep the focus on your studies."

Dr Nathan Broomhead, Admissions Tutor in Mathematical Sciences

Equations in the mathematics laboratory
<p>athena swan bronze</p>

Athena Swan Bronze

The School of Engineering, Computing and Mathematics was awarded an Athena Swan Bronze award in October 2020 which demonstrates our ongoing commitment to advancing gender equality and success for all.

People

  • Associate Head of School - School Outreach & Admissions
    Associate Head of School - Outreach and Admissions, Admissions Tutor
  • Lecturer in Pure Mathematics
    Admissions Tutor
  • Associate Head of School
    Associate Head of School for Mathematical Sciences, Pure Mathematician
  • Deputy Head of School
    Teaching and Learning, Statistician, Senior Fellow of the HE Academy
  • Lecturer in Statistics
    Mathematical Sciences Employability Lead
  • Lecturer in Mathematics
    Programme Manager, Applied Mathematician
  • Lecturer in Mathematics Education
    Mathematics Education Lead
  • Associate Professor of Statistics
    First Year Tutor, Royal Statistical Society South West Local Group Secretary
  • Associate Professor of Theoretical Physics
    Final Year Tutor, Otto Hahn Medal winner
  • Visiting Professor
    High Performance Computing Lead, Associate Member CERN theory group
  • Professor in Theoretical Physics
    Professor of Theoretical Physics
  • Associate Professor of Data Science and Statistics
    MSc Programme Manager, Data Analytics
  • Lecturer in Statistics
    Financial Statistics lecturer
  • Lecturer in Theoretical Physics
    Member HPQCD collaboration
  • Associate Professor in Mathematics and Statistics
    Royal Statistical Society South West Chair, Senior Fellow of the HE Academy
  • Visiting Researcher
    Applied Mathematician
  • Lecturer in Mathematical Sciences
    Applied Mathematician
  • Lecturer in Applied Mathematics
    Foundation Year Programme Manager, Lead of the Plymouth GPU Research Centre
  • Associate Professor in Theoretical Physics
    Theoretical Physicist, Member User Forum of the UK Central Laser Facility
  • Lecturer in Theoretical Physics
    Associate Member CERN theory group
  • Visiting Researcher
    Emeritus Professor

*These are the latest results from the National Student Survey. Please note that the data published on Discover Uni is updated annually in September.