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University of Leeds · Undergraduate
MPhys (Hons) Physics with Artificial Intelligence (International) Integrated Master's degree at the University of Leeds
MPhys (Hons) Physics with Artificial Intelligence (International) at University of Leeds. You'll combine rigorous physics foundations with practical AI and machine learning expertise, preparing you for roles that demand both disciplines.
MPhys (Hons)
Award
4
Years
Full-time
Study mode
82%
in work/study (15m)
About this course
MPhys (Hons) Physics with Artificial Intelligence (International) is an Integrated Master's degree (MPhys (Hons)) at the University of Leeds. It runs 4 years, studied full-time.
For Physical sciences graduates from this provider, 82% were in work or further study 15 months after graduating, 79% in highly skilled roles, typical earnings around £30,000. (HESA Graduate Outcomes / LEO, via Discover Uni.)
For the typical curriculum, specialisations, career paths and graduate earnings for Computer Science, see the sections below.
Course evidence score
The arithmetic mean of the official measures available for this course: NSS satisfaction, graduate activity and continuation.
8.4
/ 10
Excellent
3 of 3 official measures
Student satisfaction
What students say in the National Student Survey
Excellent83
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Graduate outcomes
In work or further study 15 months after graduating
Excellent82
Moderate evidence Published sample: 45; avoid reading small differences as meaningful. Cohort 2021-23. Graduate Outcomes work or further study 82% (2021-23; Discover Uni snapshot 2026-06-21)
Continuation
Students who continue past their first year
Excellent88
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 88% (2022-23; Discover Uni snapshot 2026-06-21)
Curriculum & modules
Real modules published for this course, grouped only where the source gives a year, stage or level.
Year 1 8 modules
- Mechanics, Relativity and AstrophysicsCore
Module details
Learn to describe motion through physical space, forces and energies, coordinate systems, linear and circular motions, special relativity, motion at speeds approaching the speed of light, basic physical principles applied to objects in the Universe, basics of radiation and observation phenomena.
- ThermodynamicsCore
Module details
Underpinning theories and concepts of thermodynamics with examples and applications including sustainable energy, governing the behaviour of the universe.
- Electronics, Solid State and Introduction to Quantum PhysicsCore
Module details
Mechanics of solids, Bohr atom, atomic electron states, elementary bonding, elasticity, Photoelectric effect, Compton scattering, De Broglie relation, Wave-particle duality, Crystal structure, X-ray diffraction, simple electric circuits, Boolean algebra and digital logic design.
- Vibrations, Waves and OpticsCore
Module details
Oscillators, energy and resonance, different types of waves, energy/power transfer, reflection and transmission, impedance, superposition and interference, wave-like behaviour of light, mirrors, lenses, nonlinear optics and lasers, 2nd order partial differential equations, complex numbers, Fourier series and introduction to Fourier transforms.
- Coding and Experimental PhysicsCore
Module details
Practical experimental, computational, communication and employability skills including laboratory tasks, programming using Python, teamwork and presentation skills, reflective practice.
- Artificial Intelligence for ScientistsCompulsory10 credits
Module details
Key concepts in artificial intelligence, differences between narrow AI and general AI, classes of AI systems such as expert systems, neural networks, and reinforcement learning models, AI applications in physics and chemistry, ethical considerations and limitations.
- Introduction to NanotechnologyOptional10 credits
Module details
Physics of nanomaterials on the nanometre length scale, unique physical properties of nanomaterials, physics of atoms and molecules, nanotechnological applications including nanomedicine.
- Planets and the Search for LifeOptional10 credits
Module details
Multitude of planets discovered around other stars, origin and evolution of the solar system, extra-solar planets, their detection and properties, conditions for life emergence, prospects and techniques for finding life elsewhere.
Year 2 6 modules
- Quantum MechanicsCore
Module details
Describing quantum systems using wavefunctions, operators and linear algebra, predicting outcomes of measurements, solving the Schrodinger equation, structure of atoms and molecules, exclusion principle and spin, structure of atomic nucleus, radioactive decay, nuclear reactions, scattering processes, Standard Model of particle physics.
- Statistical Mechanics and ComputationCore
Module details
Concepts and applications of statistical mechanics for understanding behaviour of small-particle systems, translating physical problems and data analysis processes into programs using a programming language.
- Condensed Matter PhysicsCore
Module details
Density of states to explain differences between metals, semiconductors and insulators, free-electron density of states, free-electron theory, periodic potential and free-electron dispersion relation, transport properties of semiconductors, magnetic properties of paramagnets and ferromagnets, communicating physics in preparation for projects and dissertations.
- ElectromagnetismCore
Module details
Integral versions of Maxwell's equations, calculate fields in cases of simple symmetric geometry, force and energy in electric and magnetic fields, Maxwell's equations in integral and differential form, AC circuits containing resistors, capacitors and inductors, logic principles in electronics and emerging technologies, future career planning.
- Foundation of AI: Machine Learning for ScientistsCompulsory20 credits
Module details
Basic techniques from statistical machine learning for classification and regression using Python, loss functions, optimisation, gradient descent, linear regression, logistic regression, support vector machines, decision trees, Bayesian learning, basic neural networks, error assessment, software packages for classification and regression, statistical model analysis.
- Physics with Artificial Intelligence LaboratoryCompulsory20 credits
Module details
Computational experimental and research skills, appropriate use of experimental and measuring equipment and computational techniques, drawing conclusions from results, understanding accuracy of results, critically analysing obtained data, presenting results for different audiences.
Year 4 1 modules
- Integrated Masters Research ProjectCompulsory60 credits
Module details
Apply knowledge of physics to conduct original research on a topic of choice, address significant research challenges, integrate advanced computational techniques with physical principles.
Source: provider course page. Modules can change; required/optional status, credits, descriptions and assessment are shown only when explicitly published.
Course in depth
What this course covers, who it suits and where it leads.
What you'll study
This course integrates core physics with artificial intelligence, reflecting the growing role of AI methods in research and industry. You'll usually start with foundations in programming, computer systems and discrete mathematics, then progress through algorithms, databases and software engineering. From Year 2 onwards, you'll engage directly with artificial intelligence and machine learning. In your final years, you'll specialise in areas such as cybersecurity, data science, software engineering, systems and networks, or human-computer interaction, culminating in a substantial individual project. Throughout, the course moves from conceptual principles to practical, supervised application.
Who it's for
This course suits graduates with strong A-level qualifications or equivalent. Recent entrants typically held UCAS tariffs between 144 and 159 points. You should be drawn to both theoretical physics and computational problem-solving, with genuine interest in how AI systems work and their real-world applications. The course demands sustained engagement with mathematics and programming across four years, so self-directed study and intellectual curiosity are essential.
Careers & job market
Nationally, 85% of Computer Science graduates are in work or further study within 15 months of graduating, with 75% of working graduates in highly skilled roles or pursuing further study. Starting salaries across the field typically range from £25,000 to £35,000 at 15 months; after five years, graduates earn between £29,750 and £42,000. Specialisations available include such as Software Engineering, Data Science, AI & Machine Learning, Cyber Security, Web & Mobile, Cloud & DevOps, Games, and HCI.
University & format
This is a 4-year full-time Integrated Master's degree (MPhys (Hons)) taught in English at the University of Leeds, a public research university in the Russell Group. The University is recognised as a UK degree-awarding body; its teaching quality has been rated Silver in the Office for Students' TEF 2023.
Student satisfaction
How students on this course answered the National Student Survey, by theme.
Share of students responding positively.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Applicant information
The next application dates for this course, followed by facts the provider publishes.
Application timelineWhat happens next
- 2027 entryCompleted applications can be submitted
Your application needs a reference before you can send it.
- 2026 entryFinal date for 2026 applications
Applications must reach UCAS by 18:00 UK time.
- 2026 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
- 2027 entryEqual-consideration deadline
18:00 UK time for most undergraduate courses.
Show 5 later dates
- 2027 entryUCAS Extra opens
Applicants who used all five choices and hold no offer may be able to add another choice.
- 2027 entryLast day applications go directly to providers
Applications received after 18:00 UK time are entered into Clearing.
- 2027 entryClearing opens
Eligible applicants can see vacancies and release themselves into Clearing.
- 2027 entryFinal date for 2027 applications
Applications must reach UCAS by 18:00 UK time.
- 2027 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
Published entryAAA typical offer · specific subject requirements
Provider-published requirement; check the linked course page before applying.
PlacementPublished placement option
Work placement year. Availability, selection and pay can vary.
Entry & how to get in
Typical offer (from the provider)The university’s course page lists a typical A-level offer of AAA specific subject requirements. Always check the provider for the current offer and subject requirements.
Most entrants held A-levels or equivalent100% of accepted students came in with A-levels or equivalent (entrants over recent years).
Typical UCAS tariff: 144 - 159 pointsThe most common UCAS tariff band among accepted students. This is what entrants had, not a stated requirement.
Entry requirements are set by the universityGrades, subjects and contextual offers vary. Check the University of Leeds's official course page for the current offer.
Who gets in
What recently admitted students actually held, official admissions data, not a stated requirement.
UCAS tariff of entrants
Grades are the A-level equivalent of each points band. Tap a band to check your own chances below.
Qualifications held on entry
| Qualification | Share |
|---|---|
| A-levels or equivalent | 100% |
Entry & your chances
An honest read from the official entry data, plus your personal match.
Competitive entry
Accepted students typically held strong UCAS tariffs. Check how your predicted grades compare and whether a contextual offer applies.
Will you get in? Plot your grades
Pick your predicted A-levels and watch your UCAS points land on the real spread of students admitted to this course.
Your UCAS points0
▾
Each bar is the share of admitted students in that UCAS-points band (lower → higher). Grades show the A-level equivalent.
Add your grades to see where you land
Based on the official admitted-student tariff distribution. Many universities make contextual (reduced-grade) offers, so a result below the range doesn’t rule you out.
How to apply
Undergraduate applications go through UCAS. Here’s what matters for this course, the right deadline, the grades to aim for, and the steps in order.
Apply by13 January 2027, 18:00 UK timefor this course
Typical gradesA*AAA-level equivalent admitted students held
UCAS codeF317quote this on your application
- 1Register on UCAS Hub
Create your UCAS application and add this course (code F317). One application covers up to five choices.
- 2Write your personal statement
A single statement covers all your choices, so keep it broad enough for similar courses while showing genuine interest in this subject.
- 3Submit by 13 January 2027, 18:00 UK time
UCAS equal-consideration deadline for most undergraduate courses. Source: UCAS 2027 dates.
- 4Reply to your offers
When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.
- 5Results day & confirmation
On results day (mid-August) your place is confirmed if you meet the offer. Just missed? Talk to the university, or find a place through Clearing.
💡 Many universities make a contextual (reduced-grade) offer, for example based on your school’s results, time in care, or where you live. Ask University of Leeds whether you’re eligible before you apply; it can lower the grades you need.
Fees & funding
What this course costs and how UK student finance covers it.
Tuition per year
Homeup to £9,790 / yr
Internationalset by the university
Standard capped home fee at English providers (2026/27); Scotland, Wales & NI differ.
Check fees at University of Leeds →For students who normally live in England
illustrative Maintenance Loan per year
£9,790tuition used per year, illustrative full-time England fee-cap scenario
illustrative borrowing over 4 years
2026/27 Student Finance England figures. Maintenance support is means-tested and this two-point view is not an entitlement calculator. The course total uses its published length and home fee where both are available; a missing full-time fee uses the clearly labelled England-cap scenario, while part-time fees and unknown lengths are never guessed. Use the official calculator. Scotland, Wales and Northern Ireland use separate systems: SAAS, Student Finance Wales, and Student Finance NI.
Starting on or after 1 January 2027?
The Lifelong Learning Entitlement is a separate system. A new learner’s tuition entitlement is currently stated as £39,160 (about 480 credits at 2026/27 fee levels), subject to prior study and eligibility. Check the official LLE guide.
Paying for it
- Tuition Fee Loan: can cover eligible tuition up to the applicable limit and is paid straight to the provider.
- Maintenance Loan: up to £10,830/yr away from home outside London (England, 2026/27), means-tested on household income.
- Repayment: 9% of income above £25,000, nothing below it; written off after 40 years.
- Earn alongside: most students work part-time in term, part-time roles on the StudySmarter job board.
England figures shown; Scotland, Wales & NI run their own schemes, check gov.uk.
Funding matched to this course
All University of Leeds funding →Scholarships & bursaries you could qualify for
Named awards published by the university. Compare the eligibility and application route before budgeting for one.
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Career quizApplication walkthroughSalary & CV check
Careers & earnings
What Computer Science graduates actually earn, from real outcome data, 15 months, 3 years and 5 years after graduating.
Graduate earnings: this course
| When | Median | Typical range | Graduates |
|---|---|---|---|
| 15 months after | £30,000 | £26,500 – £35,000 | 45 |
| 3 years after | £29,000 | £24,500 – £35,000 | 280 |
| 5 years after | £37,000 | £30,000 – £48,000 | 325 |
Nominal earnings for graduates of this course/subject at this provider. Moderate evidence. Published sample: 45; avoid reading small differences as meaningful. Cohort 2021-23.
Graduate outcomes, 15 months on: this course
82%
in work or further study 15 months on
79%
in highly skilled work or study
88%
continue past their first year
75%
find their work meaningful
70%
say work fits their future plans
- 1Graduate / Junior DeveloperFirst engineering role · 0–2 yrs
- 2Software EngineerShipping features end-to-end · 2–5 yrs
- 3Senior / Lead EngineerOwning systems and mentoring · 5–9 yrs
- 4Principal / Engineering ManagerArchitecture or leading teams · 9+ yrs
How pay grows: this course vs Computer Science nationally
Starting (15 months) HESA GO
£30,000
£25,000 – £35,000After 3 years LEO
£29,000
£23,375 – £33,000After 5 years LEO
£37,000
£29,750 – £42,000national rangethis course’s medianaxis £22,000 – £43,500
National figures for Computer Science graduates, HESA Graduate Outcomes (15 months) and the Longitudinal Education Outcomes (LEO) dataset (3 & 5 years). These are national, not university-specific; actual pay varies by employer, region, role and experience. Different cohorts, so the bars are not one group over time.
Work out your pay
Headline figures hide a lot. Calculate realistic take-home pay for this field by role, region and experience, then check your CV before you apply.
What happened to 100 students?
Choose an outcome to translate the published percentage into a simple 100-person view. Each dot represents one percentage point, not an individual tracked student.
82 of 100
were in work or further study
15 months after graduation
81% working9% working and studying4% in further study79% in highly skilled work or study
Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2021-23. Moderate evidence. Published sample: 45; avoid reading small differences as meaningful. Cohort 2021-23. Each tab is a separate published measure; categories can overlap and should not be added together.
Value compared with similar courses
How this course’s 5-year median earnings compare with Computer Science courses at the same study level.
This course £37,000Peer median £34,500Middle 50% £29,000–£43,000
60th percentile
Compared with 1,820 courses with compatible official earnings data. This is a course-value comparison, not a quality ranking.
UK occupations graduates enter
Published graduate destinations, joined conservatively to UK SOC 2020, ONS pay and Skills England demand.
- Information Technology ProfessionalsSOC 2020 213 · 11% of published destinations · ASHE median £55,357
- Business and public service associate professionalsSOC 2020 35 · 11% of published destinations · ASHE median £38,760
Discover Uni JOBLIST/JOBTYPE; ONS ASHE 2025 provisional, all employee jobs; Skills England Occupations in Demand 2025. SOC is shown only for an exact normalised label match; demand is shown only at exact four-digit SOC. Published sample: 95; response rate: 55%. Pay describes the occupation across workers, not a guaranteed graduate salary.
Job market & outlook
How Computer Science graduates fare in the labour market, and how AI is reshaping the work.
85%
in work or further study 15 months after graduating, across Computer Science courses nationally.
Graduate Outcomes75%
of working graduates are in highly skilled work or further study.
highly skilled85%
of students continue past their first year (still enrolled or completed).
continuationHow AI is changing the work
AI doesn't replace the profession, it shifts it: routine tasks get automated, while judgement, working with people and using AI well become more valuable.
What AI takes off your plate
- Boilerplate and scaffolding code
- First-pass tests and docs
- Routine debugging and refactors
- Standard data wrangling
More human than ever
- System design and architecture trade-offs
- Reviewing and owning correctness & security
- Translating fuzzy problems into software
- Leading delivery and mentoring
The strongest graduates pair subject depth with the ability to use AI tools critically.
Roles & employers
Where Computer Science graduates typically go, indicative destinations from graduate career data. Each role links to live openings on the StudySmarter job board.
Roles graduates go into
Where they work
- Tech companies
- Banks & fintech
- Consultancies
- Government (GDS) & startups
Jobs after this course
Current roles from the StudySmarter job board that suit Computer Science graduates.
Software Developer Placement Programme No experience neededIT Online LearningSoftware Developer - .NET & Azure for Green Energy ProjectsOfgemSoftware Developer Backend (SFIA5)ZaiziSoftware Developer (Mobile Apps) in Guildford - ECM Selection (Holdings) LimitedJava Script WorksSoftware Developer (Contract) – Higher Education Projects (UK)Burman RecruitmentSoftware Developer – Distributed Scheduling & Workload OrchestrationCGG Services (UK) LimitedLive from the StudySmarter job board · as of 2026-08-01.See all matching jobs
Is this course right for you?
The essentials UK applicants ask about: finance, outcomes, entry and quality.
💷
Student finance
For comparison, the standard full-time England tuition cap is up to £9,790 per year in 2026/27; the actual fee varies by course and provider. If you normally live in England, eligible students can apply for a Tuition Fee Loan, plus a Maintenance Loan for living costs. Under Plan 5 you repay 9% of income above £25,000, nothing below that, and the balance is written off after 40 years.
📈
Where graduates go
82% were in work or further study 15 months after graduating, with a median salary of £30,000. See the full breakdown in Careers & earnings above.
🎯
Your entry chances
Use the UCAS points calculator above to see how your predicted grades compare with admitted students, and whether a contextual offer could apply.
⭐
Official-data snapshot
Averaging the official measures published for it, this course scores 8.4 out of 10: NSS 83.4% · in work or study 82% · continued 88%.
Who studies here and in this subject?
Provider- and UK subject-level context.
The University of Leeds
All students34,580
International31.5%
Aged 25+13.6%
Computing across the UK
Students205,990
Aged 25+31.2%
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around The University of Leeds
3,846 street-level reports returned within roughly one mile across 2026-04 to 2026-06.
Violent Crime 1125Shoplifting 724Other Theft 322Public Order 319Anti Social Behaviour 305
Police.uk street-level API. Approximate locations, not confined to campus. England, Wales and Northern Ireland; not Scotland.
Is Computer Science right for you?
Tick what applies to you and see how good a fit it is.
International students
What applying to University of Leeds from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by University of Leeds; international fees are typically £12,000–£30,000/year for classroom subjects and higher for lab/clinical ones. You’re not eligible for UK Tuition Fee or Maintenance Loans, so plan for fees plus living costs upfront.
English language
Most UK undergraduate courses ask for around IELTS 6.0–6.5 (no band below 5.5–6.0), or an accepted equivalent. If you’re just short, most universities run a pre-sessional English course that counts towards the requirement.
Student visa
You’ll usually need a Student visa (Student Route). After you accept an offer the university issues a CAS; you then show funds for fees plus about £1,023–£1,334/month living costs and pay the Immigration Health Surcharge for NHS access.
Scholarships & funding
Many universities offer international/global scholarships (often £2,000–£6,000/yr), check University of Leeds’s funding pages.
Living costs
Budget roughly £1,100–£1,400/month outside London and £1,400–£1,800/month in London for rent, food and travel; the figure also matters for your visa.
Working while you study
A Student visa usually allows up to 20 hours/week in term time and full-time in holidays, useful alongside study, though not something to rely on for fees.
Visa rules and fees change. Always confirm the current requirements with University of Leeds and gov.uk before you apply.
Related courses
More at University of Leeds
Common questions
How competitive is entry?
Entry is competitive. Accepted students typically held strong UCAS tariffs. The most common tariff band among recent entrants was 144 - 159 UCAS points. Use the calculator on this page to see where your predicted grades would put you; many universities also make lower contextual offers.
What are the entry requirements?
Set by the University of Leeds. Most accepted students held A-levels or equivalent. Check the university's course page for the exact offer.
What do graduates go on to do?
For Physical sciences graduates from this provider, 82% were in work or further study 15 months after graduating, 79% in highly skilled roles, typical earnings around £30,000. (HESA Graduate Outcomes / LEO, via Discover Uni.)
What will it cost me?
For comparison, the standard full-time England tuition cap is up to £9,790 per year in 2026/27; the actual fee varies by course and provider. If you normally live in England, eligible students can apply for a Tuition Fee Loan, plus a Maintenance Loan for living costs. Under Plan 5 you repay 9% of income above £25,000, nothing below that, and the balance is written off after 40 years. See Fees & funding on this page to work out your numbers.
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