As well as studying the fundamental forces of nature and how materials behave, physicists 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, we are seeing the demand for graduates with "data science" skills skyrocket. The Physics with Data Science
programme is designed to provide you with all the skills and learning opportunities of a traditional BSc/MSci Physics degree,
combined with the tools and practical knowledge you need to solve real-world problems with data science techniques.
Physics with Data Science covers all of the core topics of the BSc/MSci Physics degree, including quantum mechanics, gravitation,
condensed matter physics, astronomy, and laboratory experiments. On top of this, there is a stream of modules that will help you
develop professional 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. The course will also prepare
you to be competitive on the job market, by connecting you with potential employers in technology, finance, healthcare, and
scientific research, and giving you opportunities to perform independent research projects and develop a portfolio of data
science techniques that you have mastered.
The course is taught by leading research physicists at Queen Mary, who are involved in a range of "big data" projects and
experiments like the Large Hadron Collider, the Square Kilometre Array, and the Large Synoptic Survey Telescope, as well as
working with commercial partners like IBM and the UK Atomic Energy Agency. 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.
Course Details - Modules
• 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
Course Details – 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.
Course Details – Professional Bodies
Physics, Institute of
How to Apply
26 January 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 for Advanced Entry (Year 2 and Beyond)
Entry Requirements for Advanced Entry are not listed for this Course.
International applicants
Standard Qualification Requirements
To include A level Maths and Physics with one being at grade A.
Excluded subject: General Studies
Please note:
You will also be excepted to achieve a Pass grade in the practical endorsement for any of the following A levels - Biology, Chemistry, Physics - if taken with one of the Awarding Bodies in England.
6,5,5 in HL subjects, to include HL Mathematics and Physics with one being at grade 6.
Queen Mary University of London welcomes applications from students currently studying Level 3 BTEC qualifications and will consider you for entry to the majority of our undergraduate courses. The typical entry requirements will vary according to the course you are applying for.
Some of our courses require specific subject knowledge which you may not be able to cover as part of a Level 3 BTEC qualification and we may therefore require additional Level 3 qualifications to ensure that you are suitably prepared for relevant courses. A small number of our courses do not accept BTEC qualifications for entry, either as a standalone qualification, or in combination with other qualifications at Level 3.
Information on our typical entry requirements and guidance for applying can be found at http://www.qmul.ac.uk/undergraduate/entry/btec/
If you are at all unsure about the acceptability of your BTEC qualification for entry, please contact the Admissions team for individual advice (admissions@qmul.ac.uk).
Please click the following link to find out more about qualification requirements for this course
Minimum Qualification Requirements
Minimum Further Information are not listed for this Course.
English language requirements
Test
Grade
AdditionalDetails
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
