Course summary
Physics with Data Science combines the study of the fundamental laws of nature, and how they apply to the real world, with innovative mathematical and computational methods to make the best use of data for science, business and government. Interested in developing both your scientific understanding and your technical skills, ready for the challenges of our data-driven society? Data Science combines mathematical and computation tools and technology to extract insight and predictions from data in science and industry. In this degree, you’ll cover a range of data science topics, alongside the fundamentals of physics and maths. As a Physics with Data Science student, you will acquire an appreciation of the scope and impact of modern physics and the use of mathematics, computing and experimentation to solve important real-world problems, and develop specialised knowledge in data science. All our Physics students study the same core of physics and maths, based on the Institute of Physics (IOP) `fundamental areas of physics’. This includes classical mechanics, waves and fields, electromagnetism, special relativity, thermodynamics, quantum and atomic physics. By choosing the Physics with Data Science degree you will study these alongside specialist data science options and take part in research projects applying modern data science techniques to novel problems in physics and applied science. The School of Physics and Astronomy hosts research groups in Earth Observation Science (EOS), Astrophysics and Planetary Science, all of whom make extensive use of sophisticated data analysis and computational modelling tools. We run data centres for international space missions (e.g. the NASA-Italy-UK Swift mission), and host one of the UK’s DiRAC high performance computing clusters (used for particle physics, astrophysics, space science and related fields). What's the difference?
- Our three-year BSc degrees provide an excellent route to a very wide range of careers in industry and business
- Our four-year MPhys degrees are aimed at students considering a career or further training in scientific research
How to apply
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:
- F3G6
- Institution code:
- L34
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
A level - ABB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDM
Access to HE Diploma
Scottish Higher - AABBBB
AS
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)
Scottish Advanced Higher - ABB
International Baccalaureate Diploma Programme - 30 points
Welsh Baccalaureate - Advanced Skills Challenge Certificate (last awarded Summer 2024)
Extended Project
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017) - H2, H2, H2, H2, H3
When considering your application, we will look for evidence that you will be able to fulfil the objectives of the programme of study and achieve the standards required. We will take into account a range of factors including previous examination results.
Student Outcomes
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of Leicester
University Road
Leicester
LE1 7RH