Robotics and Artificial Intelligence
Entry requirements
Pass Access to HE Diploma overall with a minimum 118 UCAS tariff points
International Baccalaureate Diploma Programme
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
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
**Robots and Artificial Intelligence (AI) are transforming the way we live and work.**
Driverless vehicles and pilotless drones are appearing on our roads and in our skies. Amazon’s automated warehouses are revolutionising the way businesses operate. Robots are being used instead of humans in hazardous areas. The world is ever-changing. And it needs skilled, hands-on people to keep it turning.
This multi-disciplinary course is a blend of both robotics and AI. You’ll get a solid background in computer science and programming, together with experience of the AI tools that are needed to give robots the ability to autonomously operate in the real world.
You’ll become an expert in Python, an industry-standard language used in many fields and especially in AI. From the very start, you’ll be working with real robots, learning how they work and how to program them. We don’t just focus on technology - you’ll also study the increasing impact of AI and robotics on everyone in society and the ethical dilemmas that come with such rapid and life-changing advances in technology. Throughout your studies, you’ll develop your professional skills and build a portfolio of work to show employers.
Here at Hull, we offer students the option of a guaranteed paid year in industry. This is a great opportunity to apply your knowledge and skills in the workplace, learn industry skills and make yourself more employable after you graduate. Foundation year students would need to transfer to a BSc or MEng programme to take this option.
Hull is ranked in the top 5 universities in the country for research impact*. Our teaching is linked to our research in simulation, visualisation, dependable systems, robotics, 3D printing and mobile and distributed computing - meaning you’ll be at the forefront of developments in this rapidly growing field.
We provide a range of specialist facilities, including a dedicated robotics lab. Here you’ll get hands-on with DJI Drones, Turtlebot3 mobile robots and humanoids like Baxter, Nao and Pepper. And you’ll be able to digitally fabricate 3D models, prototypes and parts for your robotic systems in our FabLab. In addition to our robotics hardware, we also have motion capture environments for drones and VR/AR and MR facilities in the Hull Immersive Visualisation Environment (HIVE) and high performance computing labs.
There are also a number of active student-led societies and a host of extracurricular opportunities - from hackathons to networking events with employers to help you enjoy your time at university.
**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
**Year 1**
Compulsory Modules
Fundamentals of Robotics
Computational Thinking
Programming for Robotics
Architectures, Operating Systems and the Cloud
Professional Development
**Year 2**
Compulsory Modules
Robotic Systems and Simulation
Electronics and Control for Robotics
Artificial Intelligence
Microcontrollers, Sensors and Communications
Applied Artificial Intelligence
**Year 3**
Choose One
Honours Stage Project
Communicating and Teaching Computing
Choose One
Digital Disruption and Innovation
Machine Learning
Compulsory Modules
Embedded Systems Development
Robotics and Automation
Computer Vision
**Masters Year**
Core Modules
Robotics Group Project
Autonomous Robots
Real-time Dependable Systems
Robotic Systems and Artificial Intelligence
Advanced Robotics
All modules are subject to availability and this list may change at any time.
Tuition fees
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The Uni
The University of Hull
Faculty of Science and Engineering
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Production and manufacturing engineering
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Artificial intelligence
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Production and manufacturing engineering
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
Graduates are in significant demand, so unemployment rates are well below the national graduate average and starting salaries are well above average. Much the most common industries for these graduates are now vehicle manufacture - there are not enough people with these degrees to go round and so the big employers tend to take the lion's share at the moment. But pretty much anywhere there is manufacturing, there are production engineers. Bear in mind that a lot of courses are four years long, and lead to an MEng qualification — this is necessary if you want to become a Chartered Engineer.
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.
Production and manufacturing engineering
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£25k
£30k
£36k
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.
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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This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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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:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
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:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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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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