Artificial intelligence is one of the fastest developing areas of computer science. It is being used in exciting new ways to enhance and evolve computer games, web search, biometric systems and many other areas. Artificial intelligence is also being applied to important economic and societal issues in fields such as medicine, health, transport and smarter cities. Developments in artificial intelligence are radically changing the way that we interact with each other, process data and make decisions. From commerce to healthcare, from agritech to government – innovators in computer science and artificial intelligence and are often at the forefront of new technological developments and already creating the solutions of tomorrow. Successful computer scientists are not only skilled programmers, but they are also highly creative thinkers and problem-solvers who are adept at handling complex information. Computing touches every industry, everywhere, so computer scientists and artificial intelligence specialists are in demand in a variety of sectors. Studying a computer science with artificial intelligence degree at Leeds will equip you with the core technical and problem-solving skills to tackle current and emerging challenges in this fast-changing field. Alongside technical skills such as algorithm design, problem solving and practical programming, you'll develop a raft of vital workplace skills such as collaborative working and project management, as well as studying specialist artificial intelligence topics such as machine learning, deep learning, text analytics and their applications in areas from vision to automated reasoning. You’ll also be taught in our brand new, purpose-built hub for students and academics – the Sir William Henry Bragg Building – which is home to leading research and specialist teaching facilities here on campus. If you want to be challenged, to work in multidisciplinary teams, solve global and emerging challenges and have a portable and highly sought-after skill set then studying computer science is a great option. 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:
- Our globally-renowned research feeds directly into your course, shaping your learning with the latest thinking in areas such as algorithms and complexity, artificial intelligence, computational science and engineering, biomedicine & health and distributed systems and services.
- Experience expert teaching delivered by a programme team made up of academics and researchers who specialise in a variety of computing areas.
- Access excellent facilities including two custom-built teaching laboratories containing high-specification Linux machines and a range of collaborative and quiet study spaces.
- Enhance your career prospects and give your CV that competitive edge before you graduate with our industrial work placement opportunities. Our close industry links have given previous students the chance to work at — and build professional relationships with — organisations such as Apple, Microsoft and Amazon.
- Gain invaluable life experience and advance your personal development with our exciting study abroad programmes, spanning across universities worldwide.
- Make the most of your time at Leeds by joining CompSoc, where you can meet like-minded peers and enjoy a variety of social, professional and academic events including Hackathons, community outreach and professional networking. CompSoc also hosts sports teams and academic support groups.
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.
Please select a course option – you will then see the application code you need to use to apply for the course.
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.
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.
Please click the following link to find out more about qualification requirements for this course
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