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Physics with Data Science

Entry Year: 2021

3 study options

Physics with Data Science BSc (Hons)


Key information

BSc (Hons)
3 years
September 2021
UCAS code
Institution code
Clearing entry requirements *
A-levels: BBB including at least two of the following: Physics, Mathematical Studies (IB) or Mathematics.
IB: HL 30 points / 555 at Higher Level including at least two of the following: HL Physics, HL Mathematical Studies (IB) or HL Mathematics.
BTECs may be accepted - call the Clearing hotline for further information.
* Clearing entry requirements are indicative only and subject to change. Please check this page regularly for updates.
UK fees
International fees
Funding information
Paying your fees
EU/EEA/Swiss students

Physics with Foundation BSc (Hons)


Key information

BSc (Hons)
4 years
September 2021
UCAS code
Institution code
Clearing entry requirements *
A-levels: CCC including C or above in Mathematics.
IB: HL 26 points / 444 at Higher Level including 4 or above in HL Mathematics.
* Clearing entry requirements are indicative only and subject to change. Please check this page regularly for updates.
UK fees
International fees
Funding information
Paying your fees
EU/EEA/Swiss students

Physics with Data Science MSci (Hons)


Key information

MSci (Hons)
4 years
September 2021
UCAS code
Institution code
Clearing entry requirements *
A-levels: BBB including at least two of the following: Mathematical Studies (IB), Mathematics or Physics.
IB: HL 30 points / 555 at Higher Level including at least two of the following: HL Mathematical Studies (IB), HL Mathematics or HL Physics.
BTECs are not accepted for this course
* Clearing entry requirements are indicative only and subject to change. Please check this page regularly for updates.
UK fees
International fees
Funding information
Paying your fees
EU/EEA/Swiss students


Combine the skills and knowledge of a Physics degree with the tools you need to solve real-world problems with data science techniques.

Physicists study the fundamental forces of nature and how materials behave and are much sought-after for their range of mathematical, analytical, and computer programming skills. As companies, governments, non-profits, and research organisations are starting to adjust to the massive amounts of data that are becoming available with the advent of new technologies, data science skills are increasingly in demand.

This programme covers all of the core topics of the BSc/MSci Physics degree, including quantum mechanics, gravitation, condensed matter physics, astronomy, and laboratory experiments.

You will have the opportunity to develop your Python programming skills, learn how to apply advanced machine learning and artificial intelligence techniques, and gain insight from any kind of data using a toolkit of practical data analysis methods.

Professional recognition

This programme is accredited by the Institute of Physics.Institute of Physics Logo

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You can complete your degree or three or four years.

Year 0


One Year-long double module allocated based on previous maths qualifications:

  • Mathematics A  or
  • Mathematics B

Semester 1


  • Physics - Mechanics and Materials
  • Essential Foundation Mathematics
  • Communication in Science and Technology

Semester 2


  • Physics - Fields and Waves
  • Physics - Electricity and Atomic Physics
  • Discrete Mathematics


Please note that all modules are subject to change.

Year 1


  • Introduction to Data Science
  • Professional Skills for Scientists
  • Mathematical Techniques 1
  • Classical Physics
  • Scientific Measurement
  • Modern Physics
  • Electric and Magnetic Fields
  • Mathematical Techniques 2
  • Basic Mathematical Techniques

Please note that all modules are subject to change.

Year 2


  • Thermodynamics
  • Quantum Mechanics A
  • Communication Skills for Scientists
  • Introduction to Scientific Computing
  • Physics Laboratory
  • Condensed Matter A
  • Electromagnetic Waves and Optics
  • Practical Techniques for Data Science

Choose one from

  • Stars
  • Nuclear Physics and Astrophysics
  • Mathematical Techniques 3



Please note that all modules are subject to change.

Year 3


  • Data Science Project Portfolio
  • Statistical Data Analysis
  • Machine Learning and Artificial Intelligence

Choose five from

  • Spacetime and Gravity
  • Fluid Dynamics
  • Mathematical Techniques 4
  • Quantum Mechanics B
  • Elementary Particle Physics
  • Physical Cosmology
  • Computational Condensed Matter Physics
  • Professional Skills for Data Science
  • The Physics of Galaxies
  • Radiation Detectors
  • Condensed Matter B
  • Quantum Mechanics and Symmetry
  • Statistical Physics
  • Group Project for Physicists

Please note that all modules are subject to change.

Year 4

MSci only


  • Physics Research Project
  • Practical Machine Learning

Choose six from

  • Introduction to Computer Vision
  • Computer Graphics
  • Astrophysical Computing (2 semesters)
  • Relativistic Waves & Quantum Fields
  • Relativity and Gravitation
  • Stellar Structure and Evolution
  • Solar System
  • Functional Methods in Quantum Field Theory
  • Differential Geometry in Theoretical Physics
  • Risk and Decision-Making for Data Science and AI
  • Machine Learning for Visual Data Analysis
  • Time Series
  • Applied Statistics
  • Astrophysical Computing
  • Extrasolar Planets and Astrophysical Discs
  • The Galaxy
  • Astrophysical Plasmas
  • Electromagnetic Radiation in Astrophysics
  • Advanced Quantum Field Theory
  • Electronic Structure Methods
  • Advanced Cosmology
  • Supersymmetric Methods in Theoretical Physics
  • An Introduction to Strings and Branes

Please note that all modules are subject to change.

Study options

Apply for this degree with any of the following options. Take care to use the correct UCAS code - it may not be possible to change your selection later.

Integrated foundation year

Students who do not have the required high school qualifications for admission to this degree, and students who do not meet their UCAS Conditional offer may be considered for the 4 year degree (foundation year plus the 3 year degree). 

International students with a completed international high school certificate qualify for the one year foundation programme commonly known as the ISEFP.

The foundation programme offers a range of transferable skills and an opportunity to improve on your knowledge content in relevant Maths and Science subjects.

You will enrol on the BSc Physics with Foundation programme which will offer progression to a range of degrees in the School of Physics and Astronomy including BSc Physics with Data Science.   At the end of the foundation programme, students will be required to meet the progression requirements for admission to BSc Physics with Data Science.


Specialise further by applying for our intercollegiate MSci Physics with Data Science, which shares fourth-year modules with other Schools within Queen Mary University of London such as the School of Electronic Engineering and Computer Science and the School of Mathematical Sciences.

student profile image

Studying physics gives you so many valuable skills. I recently got on to one of the placements organised by the School and my analysis and problem-solving skills came in really useful. I was working in a data science company, which was really interesting. The placement went so well I even got offered a job for when I graduate!

Sabrina Alam, Theoretical Physics (2017)


Teaching and learning

You’ll learn through a combination of lectures, laboratory sessions and tutorial classes. Your total teaching time will be around 20 hours per week, but you are expected to spend time on independent study and coursework or lab reports. Overall, you should be spending 30-40 hours on your studies each week.

The course is taught by leading researchers, who are involved in a range of "big data" projects and experiments such as the Large Hadron Collider, as well as working with commercial partners like IBM and the UK Atomic Energy Agency.


Assessment is carried out in a combinatin of methods depending on the nature of the work being carried out. If the module involves practical work only, the assessment will be based on laboratory reports. For non-practical modules you may be assessed by weekly coursework, termly assignments and an end-of-year examination.

Resources and facilities

The School offers excellent on-campus resources to aid your studies, including:

  • teaching laboratories
  • a rooftop observatory
  • a dedicated study space for physics students
  • professional research facilities for use in final-year projects.


Loans and grants

UK students accepted onto this course are eligible to apply for tuition fee and maintenance loans from Student Finance England or other government bodies.

Scholarships and bursaries

Queen Mary offers a generous package of scholarships and bursaries, which currently benefits around 50 per cent of our undergraduates.

Scholarships are available for home, EU and international students. Specific funding is also available for students from the local area. International students may be eligible for a fee reduction. We offer means-tested funding, as well as subject-specific funding for many degrees.

Find out what scholarships and bursaries are available to you.

Support from Queen Mary

We offer specialist support on all financial and welfare issues through our Advice and Counselling Service, which you can access as soon as you have applied for a place at Queen Mary.

Take a look at our Student Advice Guides which cover ways to finance your degree, including:

  • additional sources of funding
  • planning your budget and cutting costs
  • part-time and vacation work
  • money for lone parents.


Whether you plan to become a research physicist, master financial data, or apply your skills to big problems at NGOs or in industry, Physics with Data Science will equip you with the tools and knowledge you need to succeed.

Skills developed through studying physics – such as numeracy, data analysis, coding and problem solving – are also highly transferable into other sectors, including energy, business, marketing, engineering, technology, IT and finance.

Many graduates continue their studies with a MSc or PhD, often as a precursor to a career in research. The flexibility of the programme prepares you for careers even in specialist areas of physics – just pick modules in line with your preferred specialism.

Recent graduates of the school of Physics and Astronomy have been hired by:

  • UK Space Agency
  • JP Morgan Chase & Co. (financial services)
  • European Astronaut Centre
  • Airbus (aeronautical)
  • KPMG (financial services)
  • CGI (IT consultancy)
  • Toad A.I.
  • Goldman Sachs (investment banking)
  • IBM (technology)
  • Bank of England (banking)
  • Baclays Corporate (banking)
  • UK Government Department for Business Energy and Industrial Strategy
  • Tata Consultancy Services
  • Fidessa (financial services)
  • Jacobs (engineering and construction)
  • Kubick (data consultancy)
  • MediaCom (marketing)
  • Yobota (banking software)

Career support

The School organises specialist industrial placements for physics and astronomy students. Typically around 20 School of Physics and Astronomy students take advantage of such work placements. These placements are coordinated by the School’s own SEPnet placement coordinator, who also provides support to students in applying.

Participating companies include small-medium enterprises operating in industries such as technology, energy and defence. Larger companies operating in industries such as aerospace, engineering and research also offer internships as part of the scheme.

The careers team run dedicated advice sessions and events such as software bootcamps and careers focus sessions.

The Queen Mary careers team can also offer:

  • specialist advice on choosing a career path
  • support with finding work experience, internships and graduate jobs
  • feedback on CVs, cover letters and application forms
  • interview coaching
  • networking opportunities with alumni and those working in industry

Unistats data for these courses

Physics with Data Science - BSc (Hons)

Physics with Foundation - BSc (Hons)

Physics with Data Science - MSci (Hons)

About the School

The School of Physics and Astronomy combines the academic rigour of a Russell Group institution with a friendly and supportive atmosphere. We are highly rated in the National Student Survey (NSS), coming top in London for overall student satisfaction for the past four years.

We run a busy schedule of research seminars, and a successful peer mentoring scheme. The PsiStar physics society is extremely active and has around 200 members.

You’ll be taught by academics who work on high-profile international collaborations, including experiments at CERN and the recently completed NASA and European Space Agency Cassini mission to Saturn.

We’re proud to have played a role in some of the most exciting discoveries of the past 100 years, including Rutherford’s discovery of the atomic nucleus, discovery of the W, Z and Higgs bosons and the first ‘superstring revolution’.  Most recently, Queen Mary astronomer Dr Guillem Anglada-Escudé led a team of scientists to discover the closest exoplanet to Earth, Proxima b.


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