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School of Engineering, Computing and Mathematics

BSc (Hons) Mathematics

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UCAS tariff 112 - 128 Contextual offers
A contextual offer is an offer to study at university that takes personal circumstances that may affect grades into account.
UCAS course code G100
Institution code P60
Duration

3 years

(+ optional placement)
Course type

Full-time
Study location Plymouth

Whether you are drawn to it because of the exhilaration of solving problems, the beauty of an elegant or unexpected result, or its power and adaptability to model the world around us, studying mathematics at Plymouth trains you to think both systematically and creatively. These are skills that are valued in today’s economy, and mathematics graduates are sought after by a wide range of employers.

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.

Opportunities available...

  • A scholarship scheme is available: for more information, see the 'Fees, costs and funding' section, below.

Our specialist pathways allow you to tailor your degree to suit your interests and career goals

Dr Ben King teaching vector calculus and the evidence for dark matter
Time to develop your interests

As your knowledge and understanding deepen you may choose to continue along the core BSc (Hons) Mathematics pathway or select one of our specialist pathways – BSc (Hons) Mathematics with Education or BSc (Hons) Mathematics with Finance.
Mathematics with education students working on outreach as part of the Mathematics Enrichment Project
BSc (Hons) Mathematics with Education

Discover the formula for teaching mathematics. An ideal preparation for a career in mathematics teaching, this pathway will also prepare you for many careers where high-level mathematical skills and communication of ideas are essential.
Modelling financial data
BSc (Hons) Mathematics with Finance

Learn to understand the financial sector and model financial products. As well as thorough mathematical training, you will be introduced to the financial world through modules in accountancy, financial institutions and investment management.

Careers with this subject
A Plymouth Mathematics degree opens the door to a rewarding career in many sectors including science, engineering, finance, government, medicine and education. Employers value work experience, and we offer a varied programme of student placements. Our graduates progress to a wide range of interesting jobs or postgraduate study. Recent employers include KPMG, GCHQ, Lloyds Banking Group, the Met Office, Oxford Clinical Trials Research Unit, and Siemens.

Key features
  • 94% of University of Plymouth Mathematics students think the course prepares them with skills for the future (National Student Survey 2023).
  • This course offers modules in all key areas of mathematics, statistics and theoretical physics, including a wide choice of final-year options. This allows you to follow your interests and shape your future career.
  • You will acquire skills which are highly sought after by employers: problem-solving skills, knowledge of computing languages and mathematical software packages as well as presentation and communication skills.
  • Enjoy new facilities – state-of-the-art lecture theatres, computer laboratories, study and social spaces – in our £50 million teaching and research building that opened in 2023.
  • Benefit from being part of the close knit, collaborative and supportive family that is Mathematical Sciences at Plymouth. This includes small group tutorials, study space next to staff offices, our lecturers’ open-door policy, student-led learning sessions and the Maths Society.
  • Meet the mathematics of sustainability and climate change in our Mathematics of Planet Earth module.
  • An optional but recommended paid placement year primes you for the career you want. Students who have taken a placement tend to attract multiple job offers.
  • You have an opportunity in the final year to carry out an in-depth research project on a mathematical topic of your choice, supervised by an expert in that field. This involves producing a 50-page report and presenting your work at a poster session.

Course details

  • Year 1

  • Learn the underlying mathematics that underpins the rest of your degree and master coding in the industrial software Python, right from the start. You’ll begin by building on the mathematical skills and topics you learnt at school, studying six core modules including calculus, linear algebra, numerical methods, pure mathematics, and probability. We’ve structured the curriculum so that all of our students acquire a common mathematical expertise, so you’ll also have the flexibility to move between courses as you progress.

    Core modules

    BPIE113
    Stage 1 Mathematics Placement Preparation 0 credits

    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.

    MATH1702
    Calculus 20 credits

    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.

    60% Examinations

    40% Coursework

    MATH1704
    Analysis and Group Theory 20 credits

    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.

    60% Tests

    40% Coursework

    MATH1701
    Mathematical Reasoning 20 credits

    This module will introduce the basic reasoning skills needed for the development and applications of modern mathematics. It also introduces Python as a new tool for exploring and applying mathematics to real world problems. The importance of logical thinking will be investigated in various mathematical topics. This will include fundamental properties of prime numbers, their random generation and use in cryptography.

    60% Coursework

    40% Tests

    MATH1703
    Linear Algebra 20 credits

    Vectors and matrices are fundamental in mathematics, and central to its applications in statistics, physics, data science, and engineering. This module develops practical skills in handling vectors and matrices, explores the mathematical structure of linear spaces, and elucidates their deep connections with analytic geometry.

    60% Examinations

    40% Coursework

    MATH1705
    Probability 20 credits

    An understanding of uncertainty and random phenomena is becoming increasingly important in daily life and in the modern workplace. The aim of this module is to develop the concept of chance in a mathematical framework. Random variables are introduced, with examples involving some common distributions, and the concepts of expectation, variance and correlation are investigated using mathematical tools.

    60% Examinations

    40% Coursework

    MATH1706
    Numerical Methods 20 credits

    In mathematics, solving most real world problems requires the use of computers. This module introduces computational mathematics and algorithms . Students will use mathematical software interactively and write programs in Python. The numerical methods which underlie industrial, scientific and financial applications will be studied.

    60% Examinations

    40% Coursework

  • Year 2

  • You'll expand your knowledge with topics including vector calculus, complex analysis, differential equations, transform theory, algebra and mathematical statistics. You'll also have a case study-based introduction to operational research, the branch of mathematics developed for better management and decision making, and powerful Monte Carlo methods for simulating complex problems.

    Core modules

    BPIE213
    Stage 2 Mathematics Placement Preparation 0 credits

    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.

    MATH2701
    Advanced Calculus 20 credits

    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 relationships between integration and differentiation in higher dimensions. We apply advanced calculus to problems from areas such as mechanics and electromagnetism.

    70% Examinations

    30% Coursework

    MATH2704
    Differential Equations 20 credits

    Differential equations are used to describe changes in nature. This module introduces methods to find exact solutions to ordinary differential equations, and numerical solutions to ordinary and partial differential equations. Extensive use will be made of computational tools. The behaviour of higher dimensional systems will be analysed using the theory of continuous dynamical systems.

    70% Examinations

    30% Coursework

    MATH2705
    Operational Research 20 credits

    This module gives students the opportunity to work on open-ended case studies in Operational Research (OR) and Monte Carlo methods, both of which play an important role in many areas of industry and finance. Students work both on their own and in teams to develop expertise in Operational Research and programming. They will refine their presentation and communication skills, so enhancing their employability.

    75% Coursework

    25% Practicals

    MATH2707
    Data Modelling 20 credits

    We study statistical methods for learning about the parameters of mathematical models from data, including likelihood-based estimation and hypothesis testing. We present classical and Bayesian treatments of regression and of general and generalised linear models, using R and Stan software. We describe Markov chain Monte Carlo algorithms. We work with multiple data sources using state-of-the art data handling tools.

    100% Coursework

    Optional modules

    MATH2703
    Algebra and Transforms 20 credits

    This module introduces mathematical structures called rings and fields, which capture properties of objects such as integers, real numbers or polynomials. These structures are used to explore error-correcting codes for data transmission. Calculus is used to introduce Laplace and Fourier transforms, and Fourier series. They are applied to solve differential equations and uncover identities involving irrational numbers.

    70% Examinations

    30% Coursework

    MATH2706
    Complex Analysis and Vector Calculus 20 credits

    This module explores fundamental relationships between dimensionality and integration. Vector integration theorems for circulation, vorticity and divergence are introduced and vector calculus is applied to real-world examples, such as classical mechanics and orbital dynamics. The mathematics of complex numbers and functions are studied, revealing deep results with applications throughout mathematics.

    70% Examinations

    30% Coursework

    EDST518
    Learning Matters 20 credits

    A module that builds students’ capacity to recognise and evaluate learning as it occurs in educational, work and recreational settings. It draws upon established, current and critical theory on learning and human development, and focuses on applying these theories to examples of educational practice from existing research and the students’ experiences.

    100% Coursework

    ACF5010
    Financial Institutions and Markets

    This module deals with financial markets, instruments, and institutions. You will examine the bond market, stock market, and foreign exchange market, and explore topics such as investment banking and mutual funds.

  • Optional placement year

  • You'll have the opportunity to participate in an optional but highly recommended placement year, providing valuable paid professional experience and helping make your CV stand out. Typically students are paid around £17,000 and placement providers have included the Department for Communities and Local Government, Fujitsu, GSK, Vauxhall Motors, VirginCare, Visteon and Jagex Games Studio.

    Optional modules

    BPIE331
    Mathematics and Statistics Placement 20 credits

    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.

    80% Coursework

    20% Practicals

  • Final year

  • Choose from a wide range of modules covering pure and applied mathematics, and operational research, as well as theoretical physics and statistics. A choice of small group case studies and the additional option of an individual project offer you the chance to study an interest in depth. You may opt to study a school-based placement module.

    Optional modules

    COMP3003
    Machine Learning 20 credits

    This module introduces machine learning, covering unsupervised, supervised and reinforcement learning from a Bayesian perspective. This includes theory behind a range of learning techniques and how to apply these representations of data in systems that make decisions and predictions.

    100% Coursework

    COMP3008
    Big Data Analytics 20 credits

    The key objective of this module is to familiarise the students with the most important information technologies used in manipulating, storing and analysing big data. Students will work with semi-structured datasets and choose appropriate storage structures for them. A representative of recent non-relational trends is presented—namely, graph-oriented databases.

    100% Coursework

    MATH3701
    Partial Differential Equations 20 credits

    This module deepens students’ understanding of partial differential equations and applies them to real world problems. It provides a variety of analytic and numerical methods for their solution. It includes a wide range of applications such as transport, heat diffusion, wave propagation and nonlinear phenomena.

    70% Examinations

    30% Coursework

    MATH3704
    Fluid Dynamics 20 credits

    In this module, students will learn how to use mathematics to model a variety of fluid flows. Fluid flow problems are described mathematically as ordinary or partial differential equations. These equations are then solved and the results interpreted for a mixture of theoretical and practical examples of both inviscid and viscous fluid flows. Applications from environmental and industrial modelling will be studied.

    70% Examinations

    30% Coursework

    MATH3705
    Quantum Computing 20 credits

    Quantum mechanics describes physical systems at the atomic and molecular scale. This allows properties of matter and its interactions with light to be modelled, and these models underpin the rapid development of quantum technologies. This module introduces the principles of quantum mechanics and applies them to quantum computing. Students will study quantum algorithms and techniques to program quantum computers.

    50% Coursework

    50% Examinations

    MATH3706
    Industrial Placement 20 credits

    This module provides an opportunity for final year students to gain experience of applying mathematics in a professional environment. Students can carry out a placement in a wide variety of areas, including data science, finance, management, research, and software development. As part of this, they develop a range of skills that considerably increase future employment opportunities.

    80% Coursework

    20% Practicals

    MATH3707
    Relativity and Cosmology 20 credits

    This module introduces the basic concepts of special and general relativity, such as the Lorentz transformations, time dilation, and the curvature of space-time. These ideas help students to understand the basic concepts of modern cosmology, including the standard model of the expanding universe (FLRW model) and its extensions using dark matter and dark energy.

    70% Examinations

    30% Coursework

    MATH3708
    Modelling and Numerical Simulation 20 credits

    Simulations and modelling are crucial tools that support industrial research and innovation. Students will learn to analyse mathematical models and develop programs to solve them. They will investigate algorithms and discuss their performance. Students will code and run numerical programs on a high performance computer. These forward-looking skills are highly sought after by many employers.

    100% Coursework

    MATH3709
    Optimisation, Networks and Graphs 20 credits

    Optimisation and graph theory are related branches of mathematics with applications in areas as diverse as computer science and logistics. Graphs are used to capture relationships between objects, while optimisation studies algorithms that search for optimal solutions. This module provides both the theory and modern algorithms, including those used in artificial intelligence, required to solve a broad range of problems.

    100% Coursework

    MATH3710
    Medical Statistics 20 credits

    This module equips students with the skills to plan and analyse clinical trials, including crossover and sequential designs, and to perform sample size calculations. The principles of meta-analysis are introduced. Epidemiology is studied, including case-control and cohort studies. Survival analysis is covered in detail. Students gain experience with computer packages that are used in health and medicine.

    70% Examinations

    30% Coursework

    MATH3712
    Mathematics of Planet Earth 20 credits

    Students work in small groups to research problems directly related to sustainability and the protection of the environment, so addressing some of the most serious problems faced by humanity. This can involve the solution of mathematical, statistical, computational, industrial or economic problems, or challenges in renewable energy engineering. Students present their conclusions orally and in a professional report.

    70% Coursework

    30% Practicals

    MATH3713
    Project 20 credits

    In this module, students perform individual independent research into a topic in Mathematical Sciences, or Mathematics Education. Students choose a subject to explore in depth, which they are particularly interested in, and receive regular advice and feedback from an expert supervisor. The outputs of the project are a dissertation and a presentation. This module is an ideal preparation for progressing to further study.

    80% Coursework

    20% Practicals

    MATH3714
    School Placement 20 credits

    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 both semesters. Students typically progress from assisting in the classroom to teaching a starter activity over the academic year.

    80% Coursework

    20% Practicals

    ACF6004
    Financial Modelling 20 credits

    The module covers financial modelling for bonds and rates, equities, currencies and options. While analysing and modelling each category of securities with specific and pertinent approaches, it stresses the underlying principles governing all valuation processes. The module also equips the students with the skills to use software, such as Excel, for implementing models and perform analysis.

    60% Examinations

    40% Coursework

    ACF6008
    Investment Management 20 credits

    In this module, you will develop a broad understanding of the portfolio management with the focus on portfolio building and evaluation, portfolio risk and diversification. You will explore portfolio concepts such as: investors risk aversion, efficient frontier, capital asset pricing model. In addition, you will learn and discuss market efficiency, behavioural finance and fintech.

    60% Examinations

    40% Tests

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.

Entry requirements

UCAS tariff

112 - 128

Contextual offers: Typically, the contextual offer for this course is 8 points below the advertised tariff. A contextual offer is an offer to study at university that takes into account individual circumstances that are beyond your control, and that can potentially impact your learning and your exam results, or your confidence in applying to university.

Check your eligibility for a contextual offer

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.) Must have GCSE English and Maths at grade C/4 or above.
We do not run an unconditional offer scheme but may make personalised, lower offers to selected candidates.
Furthermore, applicants attending one of our spring offer holder days may also be given a lower offer after we have met you on the day.
BTEC: 18 Unit BTEC National Diploma/QCF Extended Diploma: DDM to include a distinction in a mathematics unit: 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 with 33 level 3 credits with at least 12 Level 3 credits at distinction in Mathematics including a unit introducing calculus, plus, GCSEs: English and Maths at grade C/4.
International Baccalaureate: 28–30 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
2024-2025 2025-2026 *
Home £9,250 £9,535
International £18,100 £18,650
Part time (Home) £770 £795
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.

*UK Government announcement on tuition fees

Following an announcement in November, the government has confirmed its intention to increase undergraduate tuition fees for the 2025/26 academic year.

Subject to final Parliamentary approval (expected in early March 2025), the tuition fee for UK students is increasing to a maximum of £9,535 from 1 August 2025. This change applies to current and new students at the University of Plymouth. The Student Loans Company (SLC) has confirmed loans for tuition fees will be increased accordingly.

Undergraduate scholarships for international students

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

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 .

Tuition fees for optional placement years

The fee for all undergraduate students completing any part of their placement year in the UK in 2024/2025 is £1,850.
The fee for all undergraduate students completing their whole placement year outside the UK in 2024/2025 is £1,385.
 Learn more about placement year tuition fees

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

Featured modules

Maths featured module - ordinary differential equations
Differential equations

Did you know that the differential equation which describes the change in price of stock market options is, in disguise, the same equation that describes how heat diffuses through materials?
Maths featured module mathematical reasoning
Mathematical reasoning

Understand how your credit-card details are kept secure when you shop online and the amazing maths behind it.
Zener. Maths featured module real and complex analysis
Real and complex analysis

Based on the ideas of analysis this module introduces the notions of convergence and divergence and hence allows the study of trends in sequences of numbers and data.
Featured module: Operational research and Monte Carlo Methods
Operational research

In this module you will work on an open-ended case study inspired by real-life problems and developed in cooperation with companies such as Babcock International.
Featured module: fluid dynamics
Fluid Dynamics

Fluid dynamics is everywhere – from the air we breathe, to the oceans that sustain our planet, to the industries that power our economy. Explore one of the most vibrant areas of modern applied mathematics.
Featured module: Data modelling centered
Statistical data modelling

Recent coursework in this module has involved fitting models to COVID-19 cases, comparing engine performance under different environmental conditions, and using historic data to assess how life expectancy has increased over time.

People

  • Head of School and substantive Professor of Mathematics
  • Lecturer in Pure Mathematics
    Admissions Tutor for Mathematical Sciences
  • Associate Professor in Mathematics
    Pure Mathematician
  • Associate Professor of Theoretical Physics
    High Performance Computing Unit Director, Associate Member CERN theory group
  • Lecturer in Mathematics
    Programme Manager, Applied Mathematician
  • Associate Head of School (UG Education)
    Lead of the Plymouth GPU Research Centre
  • Lecturer in Applied Mathematics/Theoretical Physics
    Foundation Year Programme Manager
  • Associate Professor in Theoretical Physics
    Theoretical Physicist, Member User Forum of the UK Central Laser Facility
  • Associate Professor of Theoretical Physics
    Final Year Tutor, Otto Hahn Medal winner
  • Emeritus Professor
    First Year Tutor, Professor of Theoretical Physics
  • Lecturer in Theoretical Physics
    Mathematical Sciences Employability Lead, Member HPQCD collaboration
  • Lecturer in Data Science/Statistics
    First Year Tutor
  • Lecturer in Mathematics Education
    Senior Personal Tutor, Mathematics Education Lead
  • Associate Professor in Mathematics and Statistics
    Senior Fellow of the HE Academy
  • Lecturer in Mathematical Sciences
    Applied Mathematician
  • Associate Head of School (Resources)
    Programme manager, MSc Health Data Science and Statistics

Meet our school technical staff

Our technical staff are integral to the delivery of all our programmes and bring a diverse range of expertise and skills to support students in laboratories and workshops.

Discover mathematics at Plymouth

Explore profound and beautiful ideas and understand how they can be applied to the key challenges facing us today and tomorrow.

Our Maths Lab is a dedicated space for students to solve problems, practise presentations and talk about mathematics

Studying mathematics
This research-led mathematics degree equips you with a solid base in pure and applied mathematics.

Welcome to mathematics and statistics at University of Plymouth

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

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

Our graduate success stories

Choose Plymouth

Exciting career opportunities, passionate academics and state-of-the-art facilities

Opening doors with mathematics
Graduating with a mathematics degree can open the door to many employment opportunities, learn how Plymouth can help you stand out from the crowd.

Nathan Broomhead

The truth and perfection of mathematics
To those who have studied it, mathematics is like a language. A language that allows complex ideas to be expressed with precision and clarity.

Exterior of Babbage Building

Babbage Building: where engineering meets design
A state-of-the-art space to inspire creativity and collaboration on our campus.

  • 6In the 2024 National Student Survey, 100% of our final year students said that ‘Staff are good at explaining things’.*

  • ,The Institute of Mathematics and its Applications (IMA) accredited degree

Mathematics videos

What it is like to carry out a final year project. Edward Evans talks about his final year project on Fermat’s Last Theorem.

2nd year student Dhru Shah shows you how to prove that sine squared plus cosine squared equals one for an arbitrary angle, theta.

Mathematics student Jonathan Ong shows that the ratio of the long edge to the short edge of sheets of A-series paper is the square root of two.

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."
Equations in the mathematics laboratory
Callum Patmore – BSc (Hons) Mathematics

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.

Develop your skills, knowledge and confidence with a work placement

Katie Hardman – industrial experience to a job offer
"I found that the skills I had already gained at the University prepared me well for the experience and also for future jobs."
After her industrial internship with Babcock, Katie was offered a full-time graduate position by them after the completion of her degree. Read Katie's story.
Katie Hardman, BSc (Hons) Mathematics student at the University
*These are the latest results from the National Student Survey. Please note that the data published on Discover Uniis updated annually in September.