School of Engineering, Computing and Mathematics

BSc (Hons) Mathematics with Theoretical Physics

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 G1F3
Institution code P60
Duration

3 years

(+ optional placement)
Course type

Full-time
Study location Plymouth
Register for open day
Apply at UCAS.com

Acquire a deep insight into modern theories of nature using powerful mathematical techniques. Providing you with the necessary mathematical language to be able to describe, analyse and predict natural phenomena. Lectured by world-leading researchers in theoretical physics, who have strong links to CERN, the European Light Infrastructure, and the UK’s Central Laser Facility. Choose your project modules where you can work with our researchers to explore aspects of modern physics in depth.

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.

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.

Dr Ben King teaching vector calculus and the evidence for dark matter

Studying mathematics with theoretical physics
Find out in detail about the course

Watch University of Plymouth lecturer Dr Antonio Rago giving a Tedx talk
Have you ever wondered what a particle physicist means when they talk about dark matter, or dark energy?

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

Key features
  • Study the foundation of modern theoretical physics in modules such as Relativity and Cosmology, and Quantum Computing.
  • Learn from world-leading researchers in theoretical physics, who will show you how the mathematics you study underpins and connects directly to modern research topics at the frontiers of physics; your first year course in linear algebra, for example, is taught by a collaborator of a 2018 Nobel Prize winner.
  • Carry out an in-depth final year project in theoretical physics on topics such as quantum computers, black holes, teleportation or the quark model, supervised by a leading academic: our theoretical physicists have research connections across the globe, including at CERN and the Rutherford Appleton Laboratory.
  • Enjoy new facilities – state of the art lecture theatres, computer laboratories, study and social spaces – in our £50 million teaching and research building.
  • Learn high-level programming skills and master industry software including Python, R and parallel programming on a supercomputer.
  • Increase your employability with an optional, paid, industry placement between the second and final years.
  • Progress, like our previous graduates, into careers in research, work in the Met Office, GCHQ, finance, industry and medicine or postgraduate degrees in applied mathematics and theoretical physics.

Course details

  • Year 1

  • Build strong mathematical foundations to support future investigations in theoretical physics. Topics include probability and randomness, which are key ideas in quantum theories, and tools such as group theory, which are used to describe fundamental symmetries in nature. Calculus and analysis plus linear algebra, essential for studying higher dimensional theories are also introduced along with an introduction to programming.

    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

  • Review the evidence for the existence of dark matter and describe Newtonian cosmology using vector calculus. Acquire the mathematical language of quantum mechanics by learning about real and complex analysis. A case studies module introduces the powerful Monte Carlo technique which lies at the heart of statistical mechanics and is used to extract precision results from the Standard Model of particle physics.

    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

    MATH2702
    Statistical Inference and Regression 20 credits

    This module provides a mathematical treatment of statistical methods for learning from the data abounding in the modern world. Confidence intervals and hypothesis testing are studied. Methods of estimation are explored, focusing on the maximum likelihood method. The module demonstrates the underlying theory of the general linear model. Applications are implemented using the professional statistical software, R.

    70% Examinations

    30% Coursework

    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

    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

    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

  • Optional placement year

  • An optional, but highly recommended placement provides you with valuable paid professional experience to help make your CV stand out. Typically students are paid around £17,000 and employers have included the Fujitsu, GlaxoSmithKline, Liberty Living, Vauxhall Motors, VirginCare, Visteon and Jagex Games Studio.

    Core 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

  • In your final year the focus is on modern physics and you have a choice of modules. Topics include classical mechanics, quantum mechanics, electrodynamics and special relativity. The mathematical language of the core partial differential equations module is essential. You can conduct a final year theoretical physics project with a supervisor from our theoretical physics research group. Projects have included general relativity and black holes, the gravitational super highway, quantum algorithms, quantum field theory and the quark model.

    Core modules

    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

    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

    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

    Optional modules

    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

    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

    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

    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

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). 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 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 a Grade C/4.
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
Student 2024-2025 2025-2026 *
Home £9,250 £9,250
International £18,100 £18,650
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.

* UK Government announcement on tuition fees

On Monday 4 November 2024 the UK Government announced a proposal to increase tuition fees for home undergraduate students from £9,250 to £9,535 per annum from September 2025 onwards. The University of Plymouth intends to apply this new fee from September 2025. However, implementation of this increase will be subject to Parliamentary procedure. The University will give further details to both prospective and current students as soon as more information becomes available.

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.

  • <Accredited by the Institute of Mathematics and its Applications and recognised for membership by the Institute of Physics

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

Work placements

  • ?A placement year will give you the opportunity to experience working life, and can lead to a job offer upon graduation

Work placements

A ‘placement year’ is an excellent way to gain a competitive edge. It will set you up for when the graduate schemes launch and help you make better career decisions.
Elizabeth Goult gained important skills and career-defining experiences working for Plymouth Marine Laboratory as a student programmer.
Elizabeth Goult - BSc (Hons) Mathematics
James Mitrussis sat at a desk with laptop

Research

The Theoretical Physics group comprises eight permanent members of staff, as well as four postdocs and a number of research students. Research interests in the group include lattice QCD, laser-matter interactions, QFT in external fields, physics beyond the Standard Model, and infra-red effects in gauge theories. The Doctoral Programme in Theoretical Physics is STFC credited, giving further PhD students.
The group currently holds research grants from the Engineering and Physical Sciences Research Council (EPSRC), the Leverhulme Trust and the Royal Society. Together these grants are worth around a million pounds, and fund the group's research into a wide range of topics in fundamental physics. The group also holds time on UK supercomputers in Leicester, Cambridge and Edinburgh accounting for 22.7 million core hours of supercomputer time.
string theory theoretical physics 

People

  • Associate Professor of Theoretical Physics
    High Performance Computing Unit Director, Associate Member CERN theory group
  • 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
  • Lecturer in Theoretical Physics
    Mathematical Sciences Employability Lead, Member HPQCD collaboration
  • Head of School and substantive Professor of Mathematics
  • Lecturer in Pure Mathematics
    Admissions Tutor for Mathematical Sciences
  • Associate Professor in Mathematics
    Pure Mathematician
  • Associate Head of School (UG Education)
    Lead of the Plymouth GPU Research Centre
  • Lecturer in Data Science/Statistics
    First Year Tutor
  • Emeritus Professor
    First Year Tutor, Professor of Theoretical Physics
  • 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
  • Lecturer in Statistics
    Mathematical Sciences Employability Lead
  • Lecturer in Mathematics
    Programme Manager, Applied Mathematician

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.

Graduate journeys

Graeme Winter
Graeme Winter
Scientist, Diamond Light Source

Featured modules

Abstract network connection background. getty
Electrodynamics and Relativity
Electrodynamics describes the classical theory of electric and magnetic fields and how they interact with electric charges. It is one of the four fundamental interactions of Nature
Quantum computing
Quantum Computing
Quantum mechanics describes systems at molecular distance scales and below, where ideas such as uncertainty principles, superposition and entanglement are required to describe the dynamics. Quantum computers use quantum mechanics to solve complex problems
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
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

Babbage Building: where engineering meets design

“The building provides 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 is home to the School of Engineering, Computing and Mathematics
and offers additional space for the School of Art, Design and Architecture .
Exterior of Babbage Building

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

What it is like to carry out a project on our mathematics degrees

Your final year project is an opportunity to explore an area of mathematics in depth. In this video our graduate Edward Evans talks about his final year project on Fermat’s Last Theorem.
“It was difficult concepts to get my head around, but closer and closer to the end everything came together and I understood everything more. By the hand in date I had this document that I could be really proud of.”
Athena SWAN Silver Award logo

Athena Swan Silver

The School of Engineering, Computing and Mathematics was awarded an Athena Swan Silver award in September 2024 which demonstrates our ongoing commitment to advancing gender equality and success for all.

Studying mathematics at Plymouth

Professor David McMullan and a final year student discuss what it’s like to study here, and show you some of our facilities.
*These are the latest results from the National Student Survey. Please note that the data published on Discover Uni updated annually in September.