Computer science is a dynamic and fast-moving area. It is vital to how we live in the digital age, and how we seek to evolve in every part of our lives. From commerce to healthcare, from agritech to government – innovators in artificial intelligence and virtual reality, cloud computing, robotics and all kinds of other developing specialisms are already creating the solutions of tomorrow. Successful computer scientists are not only skilled programmers, they are also highly creative thinkers and problem-solvers who are adept at handling complex information. Computing touches every industry, everywhere, so computer scientists are in demand in all sorts of sectors and are usually at the forefront of new technological developments. Studying computer science at Leeds will equip you with the core technical and problem-solving skills to tackle current and emerging challenges in this crucial and fast-changing field. You will develop your skills in software engineering and algorithm design, explore the challenges in mobile computing, robotics, and graphics shaping the future, and work with state-of-the-art technologies. As a computer science student, you’ll be taught in our brand new, purpose-built hub for students and academics - the Sir William Henry Bragg Building - which is home to world-leading research and specialist teaching facilities and laboratories right here on campus. The Bragg Centre is where scientists and engineers work collaboratively to develop solutions for economical, societal and technical challenges in the UK. Here at Leeds, we understand the importance computer science has in everyday life, which is why our courses are professionally accredited by the British Computer Society (BCS). The topics you’ll study reflect the latest developments in computer science, equipping you with the key knowledge, skills and experience you need to begin your career in this highly valued profession. Why study at Leeds:
- Graduate with a British Computer Society (BCS) accredited degree from a university ranked in the Top 100 in the world, QS World University Rankings 2022.
- Our courses are shaped by our world-leading research in areas such as artificial intelligence, computational science and engineering, computational medicine and distributed systems.
- Benefit from our partnership with the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.
- Study in the Sir William Henry Bragg building, a brand-new development providing excellent facilities and teaching spaces for an outstanding student experience.
- Develop your experience and boost your career prospects with our paid industrial placement opportunities or study abroad programmes.
How to apply
This course is not accepting applications at this time. Please contact the provider to find out more.
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.
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Points of entry
The following entry points are available for this course:
- Year 1
- Year 2
Entry requirements for advanced entry (i.e. into Year 2 and beyond)
Subject to places being available, you must achieve our published first year entry requirements and the relevant % average in your first year of study. Learning outcomes of year 1 of the degree programme you are applying to must also have been met.
This course may be available at alternative locations, please check if other course options are available
We typically receive a high number of applications for this course. To ensure we treat all applications fairly, we may put your application on hold until after the UCAS deadline before making a final decision. All applications received before the UCAS deadline are guaranteed equal consideration. For further information visit our course page. This course is not accepting applications for deferred entry.
English language requirements
|IELTS (Academic)||6||No less than 5.5 in each section.|
English Language at grade C (4) or above, or an appropriate English language qualification is also required.
The student satisfaction data is from students surveyed during the Covid-19 pandemic. The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
No fee information has been provided for this course