Physics with Data Science at Queen Mary University of London - UCAS

Course options

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.

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


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

Operated by the Office for Students

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

Our most recent information regarding tuition fees can be found at http://www.qmul.ac.uk/tuitionfees/
Physics with Data Science at Queen Mary University of London - UCAS