Computer Science (Artificial Intelligence)
Entry requirements
Pass Access to HE Diploma overall with a minimum 118 UCAS tariff points
International Baccalaureate Diploma Programme
T Level
UCAS Tariff
Points can be from any qualification on the UCAS tariff, but must include at least 80 points from A levels BTEC Subsidiary Diploma, Diploma or Extended Diploma OCR Cambridge Technical Introductory Diploma, Diploma or Extended Diploma CACHE Diploma or Extended Diploma Irish Leaving Certificate Scottish Highers Welsh Baccalaureate Advanced Diploma or a combination of appropriate Level 3 qualifications
About this course
**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 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. We are now offering a guaranteed paid placement on all our Computer Science courses. 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**
Did you know that 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. Some of our students recently helped Team GB athletes get their kit ready to compete in preparation for the Minsk 2019 European Games. 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
**Masters Year**
Compulsory Modules
Compulsory modules
Commercial Development Practice
Real-time Dependable Systems
Advanced Artificial intelligence
Advanced Computational Science
Trustworthy Computing
All modules are subject to availability and this list may change at any time.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
The University of Hull
Faculty of Science and Engineering
What students say
How do students rate their degree experience?
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Artificial intelligence
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Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
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Artificial intelligence
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Artificial intelligence
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£23k
£30k
£35k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
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It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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