Course summary
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.
Modules
Year 1 Compulsory Introduction to Data Science Professional Skills for Scientists Mathematical Techniques 1 Classical Physics Scientific Measurement Modern Physics Electric and Magnetic Fields Mathematical Techniques 2 Please note that all modules are subject to change.
Assessment method
Assessment is carried out in a combination 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 will may be assessed by weekly coursework, termly assignments and an end-of-year examination.
Professional bodies
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- Physics, Institute of
How to apply
You can no longer submit a new application for courses starting in 2023.
If you already have a 2023 application and are in Clearing, you can add this course as a Clearing choice – contact the university or college first to check they have places.
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- F30S
- Institution code:
- Q50
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - ABB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Access to HE Diploma - Not accepted
International Baccalaureate Diploma Programme - 32 points
GCSE/National 4/National 5
English language requirements
All applicants to Queen Mary must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student and will require Tier 4 immigration permission to enter the UK.
Queen Mary University of London: English Language Requirements
http://www.qmul.ac.uk/international/englishlanguagerequirements
Student Outcomes
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
England | £9250* | Year 1 |
Northern Ireland | £9250* | Year 1 |
Scotland | £9250* | Year 1 |
Wales | £9250* | Year 1 |
*This is a provisional fee and subject to change.
Additional fee information
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS