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From same-day deliveries to self-driving cars, today's global society is powered by AI and big data. This programme will give you a deeper understanding and the practical skills for a career with a significant impact in the modern world. Studying Physics, you will learn to apply mathematics and computing to formulate and solve a wide range of physical problems.
On this course, you will be trained from first principles in Computer Science and Mathematics. The two disciplines are blended seamlessly throughout your degree.
You will study fundamental mathematical and statistical techniques alongside modern software development methods. You will have the opportunity to apply your learning immediately using real-world datasets in our cutting-edge computing laboratories.
You will undertake significant development projects, including a final year data science dissertation led by academics with research specialities in artificial intelligence, big data and statistical modelling. You'll explore a range of topics that cover advanced technical topics which may include cloud computing, as well as academic research, industry-focused professional skills and practical problem-solving ensure you are fully equipped for an exciting and intellectually stimulating journey as a Data Scientist.
Physics is a fundamental, curiosity-driven science that has applications in many other areas of science and a vast range of industries from telecommunications through to medicine and power generation. You will gain an understanding of the subject fundamentals, including quantum mechanics, relativity and electromagnetism, and apply this knowledge to solve problems, plan investigations, analyse results and to report and present your work.
This course will be informed by the research interests of our current staff: primarily astrophysics and condensed matter physics, all of whom contribute to the teaching programme. Regular laboratory sessions enable you to investigate unfamiliar phenomena and develop valuable transferable skills such as scientific writing, programming and presentation. We are committed to supporting you throughout your studies, providing you with access to staff to gain advice and feedback.
Course Details - Modules
For a list of indicative and likely optional modules please visit the course website.
Course Details – Assessment Method
Assessment Methods are not listed for this Course.
Course Details – Professional Bodies
Professional Bodies are not listed for this Course.
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:
GF43
Institution code:
K12
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 Physics or Maths at grade B or above. If Maths is presented without A level Physics, please contact us for advice.
112 UCAS Tariff points including a minimum of 30 Level 3 credits at Distinction. To include sufficient Physics and/or Maths units. Please contact us for advice.
To include Higher Level Physics or Maths at 6 or above. If Maths is presented without Higher Level Physics, please contact us for advice.
You must have taken sufficient Physics and Mathematics units. Please contact us for advice.
Please click the following link to find out more about qualification requirements for this course
