Physics with Artificial Intelligence (Industrial) MPhys, BSc

Course overview

Physics is the most fundamental of all sciences, delving into the way the world around us works to provide technological advances and innovations for centuries.

From developing cancer treatments and artificial intelligence to answering the foundational questions of the universe, physics and physicists have had a significant impact across a variety of different industries – which is why it’s still such a sought-after and relevant discipline today.

Studying a physics degree at Leeds gives you the opportunity to delve into the fundamental laws of nature, building a solid foundation in core physics topics alongside experience in conducting your own project work based on current research areas – including a collaborative research project in your final year. Throughout your degree, you’ll have access to excellent facilities right here on campus, including laboratories and teaching spaces in the Sir William Henry Bragg Building. Explore more of our facilities through our 360° Virtual Experience.

This course is also highly flexible, with a range of optional and discovery modules to choose from so you can tailor the course to what interests you the most. Our close industry links and innovative research activity ensure our physics courses reflect the latest advancements and applications of the subject. You'll graduate with the specialist knowledge, skills, and experience necessary to launch a successful career in this highly valued profession, with a wide range of career options available to you.

Physics with AI: Shaping the Future of Science

Now, with the power of Artificial Intelligence (AI), the way we explore and innovate in physics is evolving faster than ever before.

At Leeds, we’re facing these innovations head on with this course.

This programme uniquely integrates core physics principles with cutting-edge AI and machine learning, equipping you with all the tools you’ll need to revolutionise this field.

Industrial placement year

This programme gives you the opportunity to undertake a paid industrial placement year as part of the course. Our close industry links give you the platform to apply to a number of major organisations such as Elder Studios Ltd, Vodafone Ltd and Renishaw.

Why study at Leeds:

• Our School’s globally-renowned research in quantum computing, theoretical astrophysics, and experimental physics will play a pivotal role in shaping this programme, ensuring that you’re learning the latest groundbreaking research at the intersection of physics and AI.
• Enhance your career prospects and give your CV that competitive edge before you graduate with a paid industrial placement year.
• Career Prospects: graduate with the relevant skills for careers in diverse fields, including data science and AI development, computational physics and scientific research, aerospace, telecommunications and energy industries, quantum technologies and materials science, finance and risk modelling.
• Access specialist facilities including laboratories and teaching spaces right here on campus.
• Get hands-on experience and put theory into practice through exciting project work.

Benefits of an integrated Masters

Learn more about what an integrated Masters is and how it can benefit your studies and boost your career.

View this video on Bilibili.

Course details and modules

We've designed this course to enable you to develop your physics knowledge, alongside the mathematical, computational and experimental methods that are needed to become qualified as a physicist.

As you move through the programme, you'll increasingly build on your solid foundation in physics to learn about and work on the latest developments in the subject, based on our research expertise. You’ll also cover topics such as ethics, philosophy and career options in physics.

You progress through Years 1 and 2 by building a solid foundation in the subject. As you study each topic and develop new skills, your understanding is checked through assessments that take place during the course. Completing all these successfully shows that you have reached the required standard across all areas, allowing you to move on to the next year of your degree. Your later exams and assessments then give you the opportunity to demonstrate your deeper knowledge and growing mastery of the subject.

We take a competency-based approach to assessment, to enable you to demonstrate your skills and knowledge across a range of activities.

Advanced AI techniques are integrated throughout giving you the tools to tackle complex scientific challenges through a combination of theoretical knowledge and practical application.

By combining a deep understanding of physics with cutting-edge AI expertise, this programme equips graduates with the interdisciplinary skills to excel in scientific research, industry, and emerging fields where AI and physics intersect.

From analysing vast datasets to enhancing simulations and automating experiments, AI transforms how physicists model, predict and interpret physical phenomena. You'll explore how machine learning and neural networks accelerate discoveries in quantum mechanics, astrophysics, and material science while improving the accuracy and efficiency of computational models.

AI also revolutionises data analysis in modern physics, enabling researchers to sift through massive datasets from large-scale experiments such as those at CERN or astronomical observatories. By applying AI techniques, you’ll develop the skills to identify anomalies, refine theoretical models, and extract valuable insights from complex data. Additionally, AI enhances experimental design by automating processes and optimising setups, allowing physicists to focus on analysis and innovation.

The programme also explores the exciting intersection of AI and quantum computing, where AI can optimize quantum algorithms and quantum-inspired techniques can improve AI efficiency. This synergy opens new frontiers in cryptography, materials science, and fundamental particle research.

Each academic year, you'll take a total of 120 credits.

Course structure

The list shown below represents typical modules/components studied and may change from time to time. Read more in our terms and conditions.

For more information and a full list of typical modules available on this course, please read Physics with Artificial Intelligence (Industrial) MPhys, BSc in the course catalogue

Years 1 and 2

Throughout your first two years, you'll gain knowledge and skills and learn how to apply them to solve problems across the fundamental areas of physics including: electrodynamics, thermal physics, classical mechanics, quantum physics, solid state physics, waves, optics, contemporary physics and physics for sustainable development.

Our degree programmes highlight the interconnected nature of physics, both in the way we teach and in how you are assessed. In your first two years, in-course assessments allow you to demonstrate the solid understanding needed to progress. End of semester exams, together with a portfolio of other assessments and transferable skills, then give you the opportunity to show your full mastery of the subject.

Mathematics is integrated into the Physics modules throughout years 1 and 2, to ensure it is delivered at the time it is required, and with the appropriate context from the physics, enhancing the link between the learnt skill and its application.

Computer programming is an integral part of physics, and during the first two years you'll be taught the programming skills that you need, using Python.

Year 1 core Physics modules (100 credits)

All of our physics programmes share a common core of 100 credits, taught across five modules that cover physics, mathematics, and essential practical skills. Throughout your first year, both our teaching and assessment are designed to help you make meaningful connections between these areas, reflecting the inherently interconnected nature of physics as a subject.

Mechanics, Relativity and Astrophysics

In mechanics, you’ll learn how to describe motion through physical space, together with the general causes of that motion: forces and energies. You'll also learn about using appropriate co-ordinate systems and the synergies between linear and circular motions. You’ll develop the mathematical skills to describe mechanical processes, including vectors, unit vectors, scalar and vector products, calculus and summations.

In special relativity, you'll extend your knowledge of co-ordinate systems to study motion as it appears to observers moving at different speeds. You'll also cover the theories originally developed by Einstein to describe this motion at speeds approaching the speed of light, and how the forces and energies of classical mechanics extend into the regime.
In Astrophysics, you'll learn how to apply basic physical principles to objects in the Universe and explore the basics of radiation and how we observe these phenomena.

Thermodynamics

Explore the underpinning theories and concepts of thermodynamics. Examples and applications will be used to allow you to build your understanding and application of this branch of physics, including in sustainable energy, which governs the behaviour of the universe we live in.

Electronics, Solid State and Introduction to Quantum Physics

In solid state and quantum physics, you’ll cover the underpinning theories and concepts including mechanics of solids, Bohr atom, atomic electron states, elementary bonding, elasticity, Photoelectric effect, Compton scattering, De Broglie relation, Wave-particle duality Crystal structure and X-ray diffraction.

In addition, you’ll analyse and design simple electric circuits using fundamental circuit elements, such as resistors, capacitors and inductors.

You’ll also learn the principles of Boolean algebra and its application in digital logic design.

Vibrations, Waves and Optics

Vibrations and waves are ubiquitous phenomena, occurring in widely different physical systems, from molecules to musical instruments to tectonic plates. Nevertheless, they can be described by a common mathematical approach, which this module provides.

In vibrations and waves, you’ll learn about oscillators, energy and resonance, different types of waves, energy/power transfer, reflection and transmission, impedance, superposition and interference, the wave-like behaviour of light, mirrors, lenses, nonlinear optics and lasers, the solution of 2nd order partial differential equations, complex numbers, Fourier series and an introduction to Fourier transforms.

Coding and Experimental Physics

Develop practical experimental, computational, communication and employability skills. You’ll build experimental skills through a range of laboratory tasks undertaken throughout the year and be introduced to programming using the Python computer programming language. You’ll also undertake tasks and assessments designed to improve your teamwork and presentation skills, as well as reflective practice. 

Year 1 compulsory module

Artificial Intelligence for Scientists (10 credits)

This module introduces key concepts in artificial intelligence (AI), exploring the differences between narrow AI, which excels at specific tasks, and general AI, which aims to replicate human-like cognitive abilities.

Through real-world examples from scientific applications, you’ll gain insight into the various classes of AI systems, such as expert systems, neural networks, and reinforcement learning models. The module emphasises how AI is transforming scientific fields, including physics and chemistry, and highlights the ethical considerations and limitations associated with AI technologies.

By the end of the module, you’ll have a foundational understanding of AI systems and their applications across science.

Optional modules

You can choose either one the following optional modules, or you may choose a Discovery modules.

Discovery modules give you the chance to apply your physics toolkit in real-world scenarios whilst expanding out into different areas, broadening your knowledge and giving you that competitive edge in the jobs market.

Please note: The modules listed below are indicative of typical options.

Introduction to Nanotechnology (10 credits)

The smallest possible devices that can be fabricated are on the nanometre length scale. Miniaturisation of devices offers many new technological opportunities, which are only just starting to be implemented in our lives. The physical properties of nanomaterials differ from both the constituent atoms and the bulk material. These can be unique and surprising. This module aims to introduce the physics behind nanotechnology in a semi-quantitative manner, without requiring knowledge of quantum mechanics or Maxwell’s equations. To understand nanotechnology, we will describe the physics of atoms and molecules, before moving on to discuss nano and bulk properties. We will cover a number of nanotechnological applications currently adopted and on the horizon, including nanomedicine.

Planets and the Search for Life (10 credits)

Explore the multitude of planets that are currently being discovered around other stars and compare them to those in our solar system. This module will concentrate on the concepts involved and is non-mathematical, and therefore amenable to students of the arts, humanities and sciences. We will examine the origin and evolution of the solar system and how it is likely to have produced the range of planets, moons and minor bodies that we see today. This will be contrasted with the range of extra-solar planets, their detection, properties, and how they challenge our understanding of how planets are formed. Finally, the conditions for life to emerge will be discussed and the prospects and techniques for finding life elsewhere in the solar system and on exo-planets will be explored.

Year 2 core Physics modules (80 credits)

Quantum Mechanics

Learn how to describe quantum systems using wavefunctions, operators and linear algebra and how to predict outcomes of measurements on quantum systems. You’ll also learn to solve the Schrodinger equation for simple model systems and understand the structure of atoms and molecules using the exclusion principle and spin.

In addition, you’ll learn about the structure of the atomic nucleus, predict various forms of radioactive decay and nuclear reactions, describe scattering processes between elementary particles and understand the key components of the Standard Model of particle physics.

Statistical Mechanics and Computation

Explore the concepts and applications of statistical mechanics, which are key to understanding the behaviour of small-particle systems.

This module will also enable you to translate descriptions of physical problems and data analysis processes into short programs to read and manipulate data, analyse and present the results for problems relevant to physics using a programming language.

Condensed Matter Physics

During this module, you’ll learn about the use of the density of states to explain some of the differences between metals, semiconductors and insulators. You’ll also cover how to derive the free-electron density of states, perform straight-forward calculations based on the free-electron theory and how a periodic potential modifies the free-electron dispersion relation, solving problems on the transport properties of semiconductors, and calculating the magnetic properties (consistent with the syllabus) of paramagnets and ferromagnets.

You’ll also build skills in communicating physics in preparation for projects/dissertations and research a topic of physics and communicate it in various formats whilst considering the importance of professional ethics and scientific conduct.

Electromagnetism

Learn how to use the integral versions of Maxwell's equations and to calculate fields in cases of simple symmetric geometry, calculate the force and energy in electric and magnetic fields, Maxwell's equations in both integral and differential form and discuss their derivation from the physical laws of electromagnetism. You’ll analyse simple AC circuits containing resistors, capacitors and inductors and apply logic principles to real-world scenarios in electronics and emerging technologies, developing the knowledge and skills needed to navigate the evolving landscape of electronic systems, from classical to quantum. As part of this module, you’ll also consider future career plans and complete a CV, LinkedIn profile and job application forms.

Year 2 compulsory modules

Foundation of AI: Machine Learning for Scientists (20 credits)

We'll introduce basic techniques from statistical machine learning for classification and regression using Python.

Throughout the module, you may cover areas like loss functions, optimisation, gradient decent, linear regression, logistic regression, support vector machines, decision trees, Bayesian learning and basic neural networks.

You could also learn how to assess the error of a fitted model and explain the fitting algorithm. You’ll also use software packages to perform classification and regression tasks, as well as carrying out a simple statistical model analysis of data in science and engineering.

Physics with Artificial Intelligence Laboratory (20 credits)

This module further develops key computational experimental and research skills. This includes understanding the appropriate use of experimental and measuring equipment and computational techniques, being able to draw conclusions from results obtained as well as understand the accuracy of those results to critically analyse the obtained data, as well as presenting those results in an appropriate fashion for different audiences.

Year 3

You’ll have the opportunity to apply to spend a year in industry. A work placement is an invaluable opportunity to transfer your learning into a practical setting, applying the knowledge and skills you’ve been taught throughout your degree to real-world challenges – in a working environment. The Faculty Employability team will provide support in your search for a placement. It’s important to note, work placements are not guaranteed.

You can, alternatively, take up the industrial placement in your fourth year, in which case years 3 and 4 would be swapped.

Year 4

In your fourth year, you’ll have a chance to choose from a range of specialist optional module topics. You will also continue to build your experimental skills in preparation for your final year project. You’ll extend your understanding of machine learning in both practical and theoretical modules.

Compulsory modules

Advancing AI: Deep Learning for Scientists (20 credits)

The module introduces the field of deep learning, giving you the practical skills and expertise to use neural networks to solve problems in science and engineering.

Throughout this module, you may cover areas such as cover perceptron in Python, using Tensorflow/PyTorch, computation graphs, multilayer neural networks, using GPU’s, hyperparameter tuning and convolutional neural networks.

Once you’ve finished the module, you’ll understand fundamental concepts and methods of deep learning – and its current limitations. You’ll also be able to critically evaluate systems using standard performance metrics and apply your learned knowledge to solve real-world scientific or engineering problems.

Advanced Techniques in Physics with AI (40 credits)

This module offers students the opportunity to solve problems in physics through a series of short, focused projects.

You’ll be given projects that will cover diverse challenges such as using machine learning to analyse experimental data, optimising simulations of physical systems and developing AI models to identify patterns in complex datasets. Projects may explore areas like quantum mechanics, astrophysics and materials science, providing hands-on experience with AI tools and computational methods. Emphasis is placed on critical thinking, problem-solving and effective communication of results, equipping you with both technical expertise and the ability to apply AI in innovative ways across various branches of physics.

Optional modules

You can choose up to three courses from the following core options:

Advanced Quantum Physics (20 credits)

You will study how quantum 'rules' work, and apply them to real situations. You will also use perturbation theory to study more complex, and non-linear, problems and understand how to study electron spins using Pauli matrices.

Quantum Matter (20 credits)

Study how the theory of phonons (lattice vibrations) can be used to study condensed matter and advanced semiconducting devices. Delve into the physics of nanoscale structures and introductory superconductivity.

Advanced Optics with Photonics (20 credits)

An introduction to basic photonics, leading into the study of optical anisotropy, non-linear optics and lasers, and find out how to manipulate materials using optical tweazers.

Magnetism and Ferroic Materials (20 credits)

Magnetic and ferroelectric materials underpin much of modern technology and thus our everyday lives, from electric motors and dynamos to energy and data storage, sensors and computing. This course will show you the physics underpinning these materials and systems.

Theoretical Elementary Particle Physics (20 credits)

Gain an understanding of our current models for theoretical particle physics, including the use of symmetry and relativistic quantum mechanics in the Standard Model, as well as how to calculate complex interactions using Feynman diagrams.

Advanced Mechanics (20 credits)

Study how Lagrangian and Hamiltonian methods can be applied to complex advanced mechanical problems, and why symmetry and conservation laws are so closely interlinked.

Molecular Simulation with Machine Learning: Theory and Practice (20 credits)

The module will provide an introduction to the theory and practical implementation of Monte Carlo and Molecular Dynamics simulations of materials, including biomolecules, and will also provide practical experience of using standard software packages to perform these simulations on high performance computing facilities.

Star and Planet Formation (20 credits)

You will study the physical processes underpinning the formation of stars and planets, learning how stars form, but also how exo-planets form around them.

Cosmology (20 credits)

Gain the fundamental knowledge for understanding the basis for both observational and theoretical cosmology, from the first 10-43 seconds through to the present day.

If you choose fewer than three of these then you may also choose instead one of:

Physics in Schools (20 credits)

Group Innovation Project (20 credits)

or:

One or two courses from options offered in Medical Physics, the School of Earth and Environment, Nuclear Operations from the School of Chemical and Process Engineering or the Philosophy of Modern Physics (the total allowed is equivalent to 20 credits).

Year 5

In your final year, you’ll have a range of research-led topics to study at an advanced level. In addition, you will undertake a research project, which allows you to follow your interests and investigate an area at the cutting edge of physics, as well as further develop transferable skills such as communication and time management. You’ll work collaboratively with your supervisors throughout the project, who’ll be experts in your particular research area.

Compulsory modules

Integrated Masters Research Project (60 credits)

In this final-year project, you’ll apply your knowledge of physics to conduct an original research on a topic of your choice. You'll undertake projects that address a significant research challenge, integrating advanced computational techniques with physical principles.

Projects may involve using machine learning to analyse data from a broad range of physics area, applying AI models to enhance simulations in quantum mechanics and astrophysics. You’ll develop and refine your technical, analytical and research skills, while gaining hands-on experience with AI tools and methodologies.

This project gives you the chance to build skills in independent problem solving, critical thinking and the ability to apply AI in innovative ways to advance understanding in various areas of physics.

Advanced topics of AI (15 credits)

This module introduces advanced topics of AI such as handling of sequential data, Recurrent neural networks, graph neural networks, the transformer architecture, self-attention and large language models, combination of multiple input modalities (images, text, structured data). Examples will be drawn from simple studies in science and engineering.

Optional modules

Please note: The modules listed below are indicative of typical options and some of these options may not be available, depending on other modules you have selected already.

Soft Matter Physics: Liquid Crystals (15 credits)

Soft matter physics and liquid crystals are important states of matter that have an intermediate order between the liquid and crystal solids. They are relevant to many aspects of science and technology, from display devices to biological. This module will provide you with the background physics behind the principal liquid crystal phases.

Quantum Field Theory (15 credits)

Learn how to explain and apply to simple problems all the basic principles, building blocks, tools and concepts of QFT.

Winds, Bubbles and Explosions (15 credits)

Massive stars inject radiative and mechanical energy into the interstellar medium via their intense photon fluxes, powerful winds, and SN explosions. This “feedback” is at least partially responsible for dispersing the molecular gas from massive star-forming regions. On larger scales, the energy injected from groups of massive stars powers galactic fountains and superwinds. This module covers the theory behind these processes and the necessary background to understand them.

Advanced Bionanophysics Research (15 credits)

Learn about and discuss current research topics in experimental bionanophysics. The module will have a strong emphasis on the emerging applications of bionanophysics and the development of new tools and technologies for biomedical and biomaterials applications.

Quantum Information Science and Technology (15 credits)

On completion of this module, you should be able to describe the applications and limitations of classical information theory and the processes of quantum communications. You’ll be able to solve numerical examples of problems in transmission of quantum information through noisy channels and explain, quantitatively, the fundamental processes of quantum entanglement. You'll also be able to describe the application of quantum measurements and entanglement to quantum key distribution and quantum metrology and appreciate the hardware and algorithmic requirements for quantum computation.

Current Research Topics in Physics (15 credits)

Attend research seminars given by internal and external speakers across a wide range of physics topics. This will allow you to critically analyse these results, applying your physics knowledge. You’ll also research and write about current research in physics using relevant online resources.

Physics of Biological Systems (15 credits)

This module illustrates through a set of examples at the forefront of the discipline how concepts from physics help understand how biological systems function. The range of systems sizes covered spans from molecules and their nanoscale assemblies to cells and tissues. These will be introduced at a level necessary to reveal salient physical phenomena at play and you’ll explore experimental techniques to analyse their physical properties. The physics of the systems will be treated quantitatively making use of mathematical techniques and physics concepts acquired in foundational physics courses.

Exoplanetary Systems (15 credits)

Explore observational techniques in the detection of exoplanets, the physics of exoplanet atmospheres and planet formation, and the principles of habitability. You’ll be taught the underlying theories and techniques and then work through several examples, learning how to apply the taught concepts to solve problems in this area.

Quantum Many-Body Physics (15 credits)

Build foundational knowledge in quantum many-body systems, based on the mathematical formalism of second quantisation and the ideas from quantum information such as entanglement. The module will take you to the cutting edge of research into quantum many-body systems, highlighting their fundamental role in condensed matter and high-energy physics, but also their promising applications in quantum computing.

Soft Matter Physics: Polymers, Colloids and Glasses (15 credits)

You'll explore and develop your understanding of the structure of polymers, dynamics and viscoelasticity of polymer melts and solutions, glass-formation in soft matter, colloids and colloidal interactions and phase separation in soft matter.

General Relativity (15 credits)

Learn how to utilise techniques appropriate to differential geometry for familiar problems from Special Relativity before moving on to the study of how these methods can be used to derive the optimal means of studying particle dynamics in a curved space-time, and how physical laws can be translated into the same framework. The module will conclude with a study of applications of general relativity including cosmology and black holes.

Superconductivity (15 credits)

Explore the phenomenological properties and theories of superconductivity, including the principal features of superconducting tunnel junctions and contacts. You’ll also build an understanding of superconductivity using appropriate mathematical tools.

Advanced Physics in Schools (15 credits)

Build your experience in teaching, whilst also using a critical eye to write a literature review of current issues in physics teaching. You’ll then deliver a presentation, with demonstration, to showcase a research topic adapted for teaching purposes.

Group Innovation Project in Sustainability (15 credits)

Learn about the UN’s Sustainable Development Goals, working in a team to develop a business plan around an idea for an enterprise based on current scientific research that will address these goals. The module will lead you through the various stages of setting up a new enterprise, from the inception and development of the idea itself, through preparation of a business plan and pitch to potential investors. Throughout the module, you’ll further develop your skills in teamwork, project and time management, commercial awareness and self-reflection while providing valuable insight into the commercial side of science.

Summer internships

As a student in our Faculty, you’ll have the unique opportunity to do a paid summer internship. It’s your chance to get involved in the real-world research projects happening in and around the University – and advance your own professional skills in research and experimentation.

Want to find out more? Check out what our recent students got up to on their summer internships.

Learning and teaching

On this course, you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

Entry requirements

A-level: AAA including Physics and Mathematics

Where an A Level science subject is taken, we require a pass in the practical science element, alongside the achievement of the A Level at the stated grade.

Extended Project Qualification (EPQ), International Project Qualification (IPQ): We recognise the value of these qualifications and the effort and enthusiasm that applicants put into them, and where an applicant offers an A in the EPQ, IPQ or ASCC we may make an offer of AAB at A-level including A in Physics and Mathematics.

GCSE: English Language grade 4 (C) or higher, or an equivalent English language qualification. We will accept Level 2 Functional Skills English instead of GCSE English.

Alternative qualification

Alternative entry

We’re committed to identifying the best possible applicants, regardless of personal circumstances or background.

Access to Leeds is a contextual admissions scheme which accepts applications from individuals who might be from low income households, in the first generation of their immediate family to apply to higher education, or have had their studies disrupted.

If you live in a neighbourhood where there is low participation in higher education, we may be able to give priority to your application.

Find out more about Access to Leeds and contextual admissions.

We’re committed to identifying the best possible applicants, regardless of personal circumstances or background.

Access to Leeds is a contextual admissions scheme which accepts applications from individuals who might be from low income households, in the first generation of their immediate family to apply to higher education, or have had their studies disrupted.

If you live in a neighbourhood where there is low participation in higher education, we may be able to give priority to your application.

Find out more about Access to Leeds and contextual admissions.

Typical Access to Leeds A Level offer: ABB including physics and mathematics and a pass in the Access to Leeds scheme.

Alternative Entry Scheme for Mature Students

If you are a mature applicant (over 21) and you don’t have the required A Levels or GCSE English and maths qualifications, you can complete our Alternative Entry Scheme (subject to meeting the eligibility criteria for the scheme). As part of this, you may be asked to take tests in English and maths and to write an essay.

Further information on the support available for mature students can be found at https://www.leeds.ac.uk/mature-students.

Foundation years

If you do not have the formal qualifications for immediate entry to one of our degrees, you may be able to progress through a Foundation Year. A Foundation Year is the first year of an extended degree. We’ve designed these courses for applicants whose backgrounds mean they are less likely to attend university and who don’t meet the typical entry requirements for an undergraduate degree.

We offer a Studies in Science with Foundation Year BSc for students without science and mathematics qualifications.

You could also study our Interdisciplinary Science with Foundation Year BSc which is for applicants whose background is less represented at university.

On successful completion of your Foundation Year, you will be able to progress onto your chosen course.

International

We accept a range of international equivalent qualifications. For more information, please contact the Admissions Team.

International Foundation Year

International students who do not meet the academic requirements for undergraduate study may be able to study the University of Leeds International Foundation Year. This gives you the opportunity to study on campus, be taught by University of Leeds academics and progress onto a wide range of Leeds undergraduate courses. Find out more about International Foundation Year programmes.

English language requirements

IELTS 6.0 overall, with no less than 5.5 in any one component.. For other English qualifications, read English language equivalent qualifications.

Improve your English
If you're an international student and you don't meet the English language requirements for this programme, you may be able to study our undergraduate pre-sessional English course, to help improve your English language level.

Fees

UK: £10,050

International: To be confirmed

The amount of tuition fees you pay is based on whether you are classified as a home (UK) or international student. Find out how we assess your fee status.   

Tuition fees for UK students 
Tuition fees for UK undergraduate students starting in 2026/27 are £9,790 and £10,050 for students starting in 2027/28.  

Subsequent years 
The UK government sets the maximum tuition fee caps that universities can charge UK students. This means your tuition fee in future academic years will reflect any changes set by the government.   

From 2028/29 onwards, tuition fees are likely to increase annually, at least in line with inflation, and may rise further if the government increases the fee cap.   

Tuition fees for international students 
The international fee applies for each year of full-time study and will remain the same for the duration of your course.    

Read more about tuition fees.

Tuition fees for a study abroad or work placement year
If you take a study abroad or work placement year, you’ll pay a reduced tuition fee during this period. For more information, see Study abroad and work placement tuition fees and loans.

Additional cost information

There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more on our living costs and budgeting page.

Scholarships and financial support

If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There is help for students in the form of loans and non-repayable grants from the University and from the government. Find out more in our Undergraduate funding overview.

Scholarships are also available to help fund your degree. Find out more and check your eligibility below:

• Scholarships for International students
• Scholarships for UK students
• Your subject area may also offer scholarships

Applying

Apply to this course and check the deadline for applications through the UCAS website.

We may consider applications submitted after the deadline. Availability of courses in UCAS Extra will be detailed on UCAS at the appropriate stage in the cycle.

Admissions guidance

Read our admissions guidance about applying and writing your personal statement.

What happens after you’ve applied

You can keep up to date with the progress of your application through UCAS.

UCAS will notify you when we make a decision on your application. If you receive an offer, you can inform us of your decision to accept or decline your place through UCAS.

How long will it take to receive a decision

We typically receive a high number of applications to our courses. For applications submitted by the January UCAS deadline, UCAS asks universities to make decisions by mid-May at the latest.

Offer holder days

If you receive an offer from us, you’ll be invited to an offer holder event. This event is more in-depth than an open day. It gives you the chance to learn more about your course and get your questions answered by academic staff and students. Plus, you can explore our campus, facilities and accommodation.

International applicants

International students apply through UCAS in the same way as UK students.

We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.

Read about visas, immigration and other information here.

If you’re unsure about the application process, contact the admissions team for help.

Academic Technology Approval Scheme (ATAS)

The UK Government’s Foreign and Commonwealth Office (FCO) operates a scheme called the Academic Technology Approval Scheme (ATAS). If you are an international (non-EU/EEA or Swiss citizen) applicant and require a student visa to study in the UK then you will need an ATAS certificate to study this course at the University of Leeds.

To apply for an ATAS certificate online, you will need your programme details and the relevant Common Aggregation Hierarchy (CAH) code and descriptor. For this course, the CAH code is: CAH07-01-01 and the descriptor is: Physics.

More information and details on how to apply for your ATAS certificate can be found at GOV.UK.

Admissions policy

University of Leeds Admissions Policy 2026

This course is taught by

School of Physics and Astronomy

Contact us

School of Physics and Astronomy Undergraduate Admissions Enquiries

Email: physics.admissions@leeds.ac.uk

Career opportunities

There are extensive employment opportunities in the field of physics across numerous industries, which is why physics graduates are in demand for some of the highest paid and most satisfying roles in employment.

Plus, University of Leeds students are among the top 5 most targeted by top employers according to The Graduate Market 2024, High Fliers Research, meaning our graduates are highly sought after by some of the most reputable companies in the field.

The skills and knowledge you’ll develop on this programme in both AI and chemistry will equip you with these industrially-relevant expertise, and will provide career opportunities in a variety of roles across a wide range of sectors, including:

• Data science and AI development
• Computational physics and scientific research
• Aerospace, telecommunications, and energy industries
• Quantum technologies and materials science
• Finance and risk modelling

Careers support

At Leeds, we help you to prepare for your future from day one. We have a wide range of careers resources — including our award-winning Employability Team who are in contact with many employers around the country and advertise placements and jobs. They are also on hand to provide guidance and support, ensuring you are prepared to take your next steps after graduation and get you where you want to be.

• Employability events — we run a full range of events including careers fairs in specialist areas and across broader industries — all with employers who are actively recruiting for roles.
• MyCareer system — on your course and after you graduate, you’ll have access to a dedicated careers portal where you can book appointments with our team, get information on careers and see job vacancies and upcoming events.
• Qualified careers consultants — gain guidance, support and information to help you choose a career path. You’ll have access to 1-2-1 meetings and events to learn how to find employers to target, write your CV and cover letter, research before interviews and brush up on your interview skills.
• Opportunities at Leeds — there are plenty of exciting opportunities offered by our Leeds University Union, including volunteering and over 300 clubs and societies to get involved in.

We’re also an active partner in the White Rose Industrial Physics Academy, where we hold the UK’s largest annual Physics Careers Fair, with employers looking exclusively for physicists.

Explore more about your employability opportunities at the University of Leeds.

Work placements

This programme gives you the opportunity to undertake a paid industrial placement year as part of the course.

It’s important to note, work placements are not guaranteed. The job market is competitive – and there may be competition for the placement you want. You’ll have to apply the same way you would for any job post, with your CV and, if successful, attend an interview with the organisation.

Our Employability Team will help you every step of the way. They run a number of placement sessions to discuss opportunities and support you with CV writing and interview preparations. Plus, they’ll be there to answer any questions you may have and offer guidance throughout the process, too.

Benefits of a work placement year:

• 100+ organisations to choose from, both in the UK and overseas
• Build industry contacts within your chosen field
• Our close industry links mean you’ll be in direct contact with potential employers
• Advance your experience and skills by putting the course teachings into practice
• Gain invaluable insight into working as a professional in this industry
• Improve your employability

Here are some examples of placements our students have recently completed:

• RF, IT, Secure Networks & Communications 2021 Year in Industry, QinetiQ
• Industrial Placement - Technology Network Engineering, Vodafone Limited
• Pricing and Supply Chain Analyst, Solidigm
• QA Engineer, Elder Studios Ltd
• Software Engineer, Renishaw

Find out more about Industrial placements.

Study abroad

This degree does not offer the option to study abroad. However, the Physics with Artificial Intelligence (International) MPhys, BSc degree does have this option.