Course summary
Artificial intelligence is rapidly transforming the way we live and work. From self-driving cars to medical diagnosis, AI and machine learning systems are helping people make better decisions, improve safety and even reduce our carbon footprint. Techniques like deep learning and the integration of big data are increasingly giving computers the ability to operate and make sensible decisions in our messy, unstructured world. Our AI-focussed programme will give you a solid grounding in Artificial Intelligence and Computer Science and equip you with the knowledge and skills you’ll need to be part of the AI future. Learn advanced Python programming skills and develop your own software using industry standard techniques and tools. Learn about essential areas such as databases and networks, operating systems and the cloud. Gain specialist knowledge and experience in the development of intelligent systems, including machine learning, algorithms and complexity and visual computing. And we don’t just focus on the technology - you’ll also study the increasing impact of AI on everyone in society. Our degree is designed with your future career in mind. In your first year, you’ll take a module on professional development, while in your final year there is the chance to develop your own project, which you can show to employers when you apply for jobs. There is also the option to spend a year in industry on a guaranteed paid placement. Taken between the second and third years, this forms a recognised part of your degree. (Foundation year students would need to transfer to a BSc or MEng programme to take this option). When you join us, you’ll get access to the latest industry-standard facilities, including high-performance workstations, gigabit networking, swarm and humanoid robots, VR headsets, a 3D immersive cube, motion capture, AR and MR. We are ranked sixth in the UK for learning resources in Computer Science. And it’s all here on our single-site campus for you to use. Our courses are shaped by our world-leading research in areas such as artificial intelligence and machine learning, intelligent and interactive systems, robotics, simulation, visualisation, and mobile and distributed computing. When you are not studying there are plenty of extra-curricular activities for you to get involved in, such as student societies, hackathons and networking events with employers. Official Team GB partners The University of Hull is the official University Partner of Team GB. Our united belief is that anyone, with the right opportunities ahead and a dedicated team behind, can achieve extraordinary things. This is what our partnership with Team GB is built on. Extraordinary is in you – and we’ll help you find it. What does this mean for you? It means that whether you’re studying sports science, or marketing, or logistics, or healthcare, or engineering, you’ll be able to gain invaluable experience through this unique partnership. We are working with Team GB to create opportunities for volunteering and work experience, to get involved with meet-and-greet sessions with Olympians, host on-campus talks from guest speakers and so much more. It’s an extraordinary partnership, and you won’t find it anywhere else. Find out more at hull.ac.uk/teamgb
Modules
First Year Compulsory Modules Computational Thinking Algorithms and Data Structures Programming Portfolio Architectures, Operating Systems and the Cloud Professional Development (Computer Science) Second Year Compulsory Modules Design, Develop, Deploy Databases and Networks Artificial Intelligence Applied Artificial Intelligence Optional Modules (choose 1) Advanced Programming User Interfaces and Experience Mixed Reality Development Third Year Optional Modules (choose 1) Honours Stage Project Communicating and Teaching Computing Compulsory Modules Data Analysis and Visualisation Machine Learning Computer Vision Computational Science All modules are subject to availability and this list may change at any time.
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:
- G702
- Institution code:
- H72
- Campus name:
- The University of Hull
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
Applicants must also have GCSE Mathematics at Grade C/4. Applicants with other qualifications are welcome to apply.
English language requirements
Test | Grade | Additional details |
---|---|---|
IELTS (Academic) | 6 | This course requires IELTS 6.0 overall, with at least 5.5 in each skill. For other English language proficiency qualifications accepted by the University please visit www.hull.ac.uk |
Institution's Own Test | 60% overall (with minimum 55% in each skill) |
Please click below for a list of the English language qualifications we accept.
https://www.hull.ac.uk/Choose-Hull/Study-at-Hull/Admissions/English-language-requirements.aspx
Unistats information
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
Republic of Ireland | £9250 | Year 1 |
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
Channel Islands | £9250 | Year 1 |
International | £18300 | Year 1 |
Additional fee information
Provider information
University of Hull
Admissions Office
Cottingham Road
Hull
HU6 7RX