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Have further questions? How to apply | Entry requirements
*These fees are for the 2023-24 academic year and are provided as a guideline. Fees for 2024-25 have not yet been set.
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.
This programme is accredited by the Institute of Physics.
You can complete your Physics with Data Science degree in three or four years.
One Year-long double module allocated based on previous maths qualifications:
Semester 1
Semester 2
Please note that all modules are subject to change.
Students can take a maximum of two modules from those labelled with '*'
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.
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.
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!
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.
You will be assessed by various methods depending on the nature of the work being carried out. For example, if the module involves practical work only, the assessment will be based on laboratory reports. For non-practical modules you will be assessed by weekly coursework, termly assignments and an end-of-year examination.
The School offers excellent on-campus resources to aid your studies, including:
Alternative offers may be made to applicants taking the Extended Project Qualification.
For further information please visit: qmul.ac.uk/undergraduate/entry/epq
This programme requires ATAS clearance. Students who are not EEA or Swiss nationals may require ATAS clearance to undertake this course. The CAH3 code for this course is CAH07-01-01. Further information on ATAS can be found on our Advice and Counselling webpages.
We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. Please visit International Admissions for full details.
Find out more about our English language entry requirements, including the types of test we accept and the scores needed for entry to the programme.
You may also be able to meet the English language requirement for your programme by joining a summer pre-sessional programme before starting your degree.
See our general undergraduate entry requirements.
UK students accepted onto this course are eligible to apply for tuition fee and maintenance loans from Student Finance England or other government bodies.
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.
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:
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 can prepare you for careers in specialist areas of physics and science more widely, if you have a particular area of interest.
Recent graduates of the school of Physical and Chemical Sciences have been hired by:
The School organises specialist industrial placements for physics and astronomy students. Typically around 20 students take advantage of the exclusive work placements. These placements are coordinated by a 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.
We run dedicated weekly advice sessions and events such as software bootcamps and careers focus sessions.
The Queen Mary careers team can also offer:
Physics with Data Science - BSc (Hons)
Physics with Foundation - BSc (Hons)
Physics with Data Science - MSci (Hons)
The Discover Uni dataset (formerly Unistats)
The School of Physical and Chemical Sciences (SPCS) at Queen Mary combines the academic rigour of a Russell Group institution with a friendly and supportive atmosphere.
The Department of Physics and Astronomy’s teaching academics work on high-profile international collaborations, including experiments at CERN. Our researchers are searching for new planets around distant stars, developing and applying quantum technologies and theoretical concepts. Our PsiStar Physics and Astronomy Society is extremely active with around 200 members. Our academics use cutting edge experimental and theoretical techniques, alongside modern data science, to push the boundaries of their research areas.
The Department is proud to have played a role in some of the most exciting discoveries of the past 100 years, including the discovery of the W, Z, and Higgs bosons, the discovery of the closest Earth-like exoplanet to us, Proxima B, and the first ‘superstring revolution’.
We have recently recruited new staff in key areas such as particle physics, quantum technology, and space weather. We have state of the art laboratories, computing facilities, and a rooftop observatory, offering high-quality support for Physics and Astronomy teaching and research.
The Department of Chemistry enjoys an outstanding research and teaching quality reputation. We are a vibrant department, carrying out internationally leading research in fields such as Functional Materials and Nano Science, Synthesis, Catalysis, and Physical and Computational Chemistry. In the most recent Research Excellence Framework (REF) 2021, Chemistry ranked 8th in the United Kingdom for Research Impact and 9th in the UK for Research Output.
We have recently recruited new staff in key areas such as Carbon Nanotechnology, Organic Electronics, and Catalysis. The £5.2m refurbishment and modernisation of our Chemistry Lab facilities have secured the highest quality standard for Chemistry teaching and research.
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