Artificial Intelligence and Robotics (With Foundation Year)
University of Bedfordshire
UCAS Code: I4FY | Bachelor of Science (with Honours) - BSc (Hons)
University of Bedfordshire
UCAS Code: I4FY | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
Successfully completed Access Diploma course
32 - 48 UCAS Tariff Points
UCAS Tariff
About this course
The idea that we can combine robotic systems with artificial intelligence to produce a new generation of machinery is no longer the stuff of science fiction – it’s science reality. This cutting-edge course puts you at the heart of one of today’s most innovative fields, with a focus on developing your hands-on skills right from the start. Through understanding of theory, a practice-based approach and real-life work projects, you gain a solid conceptual grounding, to-the-minute specialist knowledge and advanced technical skills.
**Foundation Year**
In the Foundation year you will study three days per week. The focus will be on academic writing skills and numeracy, plus subject-specific content to fully prepare you for entry to an Undergraduate degree. It provides a balance between content related to your chosen subject and the range of wider skills required for undergraduate study. This is an integrated four-year degree, with the foundation year as a key part of the course. You will be required to pass the foundation year in order to progress to the first year of your degree. This course is ideal for those who do not meet our standard entry requirements or those with a non-standard educational background. It will allow you to graduate with a full undergraduate degree in your chosen subject in four years.
**Course Accreditation/Industry Endorsement**
- This course is fully accredited by the British Computer Society (BSC), the Chartered Institute for IT, meaning you qualify for chartered IT professional status once you graduate.
**Facilities and Specialist Equipment**
- Dedicated computing labs and group study hubs in our modern, purpose-built STEM building.
- Cloud robotics and connected AI research laboratory with specialist equipment, including an industry-standard robot arm and mobile robots, programmable drones, integrated oscilloscope, and powerful AI computer.
- Cutting-edge technology such as Auto-CAD, MATLAB and ROS software, alongside a 3D printer and well-stocked hardware supply for robot construction.
- Access to Multisim, LabView and VMware Workstation.
**Your Student Experience**
- Our unique blend of theoretical and hands-on work keeps you up to date with state-of-the-art technologies and prepares you for an exciting future.
- Take on work-based projects in close collaboration with companies such as HAL Robotics and TWI.
- Showcase your work to invited industry professionals and get involved in up-to-the-minute research projects.
- Learn from the expertise of our highly qualified academic team, many of whom are leading researchers and active consultants in areas such as enhanced robot technology and nanorobotics in cancer cell exploration.
- Our academics organised the CROP workshop on the 2024 IEEE International Conference on Robotics and Automation (ICRA), one of the two top-tier conferences in robotics, meaning our course is kept up to date with the latest advancements in the field.
- Be guided by our dedicated academic success tutors, there to support you through your studies.
Modules
Areas of study include:
- Engineering Mathematics
- Mathematics and Concepts for Computational Thinking
- Principles of Programming and Data Structures
- Robot Principles and Design
- Desktop Applications Development and Software Engineering
- Mobile Application Development
- Operational Information Security Management
- Robot Intelligent Control
- Advanced Robotics
- Agile Project Management
- Ai and Mobile Robots
- Research Methodologies and Emerging Technologies
- Social and Professional Project Management
- Undergraduate Project in Artificial Intelligence and Robotics
Every effort is made to ensure this information is accurate at the point of publication on the UCAS website. For the most up-to-date information, please refer to our website.
The Uni
Luton Campus
School of Computer Science and Technology
What students say
We've crunched the numbers to see if the overall teaching satisfaction score 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
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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)
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
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.
Mechatronics and robotics
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.
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.
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.
£22k
£25k
£33k
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 information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
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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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
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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