University of Hull
Admissions Office
Cottingham Road
Hull
HU6 7RX
Visit our website Visit our course page
Course contact details
Main Contact
Email:admissions@hull.ac.uk
Phone:01482 466100

Combine the fundamentals of computer science with the future thinking of robotics and AI.
Discover how robotics work and are programmed by using industry-standard facilities on campus such as our robotics lab complete with DJI Drones, Turtlebot3 mobile robots and humanoids like Baxter, Nao and Pepper.
Plus, develop advanced skills in Python, the language of AI, and study the ever-increasing impact of AI and robotics on society.
You’ll also broaden your horizons with a year of study at one of our partner universities across Europe, Asia, North America, or Australia. Gain new skills, build international contacts, and immerse yourself in a different culture and environment.
Why study at Hull?
• Industry-leading facilities: Learn and hone your craft in our specialist robotics lab, used for robot development and programming activities, and in the Hull Immersive Visualisation Environment (HIVE) with VR theatre, gigapixel wall facilities and wearable devices.
• Real-world experience: Build your network and your experience with a year studying abroad.
• Learn beyond the lectures: You’ll be exposed to a range of extra-curricular opportunities as well as international events to help you practice and hone your skills in real-life situations.
Where could this take me?
Whether you specialise in robotics, AI or a blend of the two, the experience and technical expertise you’ll gain will put you in high demand as you forge your career in this fast-paced and evolving industry.
You could follow many of our graduates into the world of corporate business in roles including robotics software developer, simulation engineer, in autonomous automobiles or as an embedded software engineer. Or follow your vision with a tech start-up to become an architect of future technologies.
Core modules include:
Fundamentals of Robotics
Computational Thinking
Programming Portfolio
Artificial Intelligence for Computer Science
Microcontrollers, Sensors and Communications
Embedded Systems Development
Optional modules include:
Communicating and Teaching Computing
Digital Disruption and Innovation
Machine Learning
Natural Language Processing
All modules are subject to availability and this list may change.
The following entry points are available for this course:
Applicants must also have GCSE Mathematics grade C/4.
Applicants with other qualifications are welcome to apply.
| 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
We’re helping more people to find their extraordinary.
Students often face barriers that make it more difficult for them to access higher education. That’s why we’ve introduced our contextual offers. By providing offers that take your background and experiences into account, we are helping to break down those barriers for all aspiring university students.
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
Students aged 17/18 who applied to this course were offered a place.
See how students with your grades have been accepted onto this course in the past.
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Employment after 15 months (Most common jobs)
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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.
| Location | Fee | Year |
|---|---|---|
| Republic of Ireland | £9535 | Year 1 |
| England | £9535 | Year 1 |
| Northern Ireland | £9535 | Year 1 |
| Scotland | £9535 | Year 1 |
| Wales | £9535 | Year 1 |
| Channel Islands | £9535 | Year 1 |
| International | £17500 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Admissions Office
Cottingham Road
Hull
HU6 7RX
Visit our website Visit our course page
Email:admissions@hull.ac.uk
Phone:01482 466100