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Artificial Intelligence and Robotics with Foundation Year

Entry requirements


A level

C-B

Successfully completed Access Diploma course

32 - 48 UCAS Tariff Points

UCAS Tariff

32-48

About this course


Course option

4years

Full-time | 2024

Subjects

Mechatronics and robotics

Artificial intelligence

Combining robotic systems with artificial intelligence to produce a new generation of workers and companions is no longer the stuff of science fiction – it’s science reality. This British Computer Society accredited course brings together these two areas, and offers conceptual grounding in intelligent systems, and the chance to apply theoretical knowledge in a practical setting. With access to humanoid robots, robotic arms, wheeled platforms and other hi-tech robotic equipment, you will develop the skills demanded by employers in this fast growing area.

**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. The course has been designed to develop your skills and to prepare you for entry onto the first year of your chosen course. 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 bachelor’s 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.

**Why choose this course?**
- Learn how artificial intelligence and robotics are playing vital roles in the world’s most advanced technological industries – from medicine to entertainment – and are found at the heart of much of today’s most innovative science

- Study on one of the few UK university courses that offers both areas of study together

- Develop a solid conceptual grounding and apply theoretical knowledge in a practical setting

- Gain the expertise you will need to target a number of industries, including advertising, engineering and computer science

- Explore the use of humanoid robots, robotic arms, wheeled platforms and other hi-tech robotic equipment

- Challenge your technical abilities by using the latest software to control robotic machines

- Benefit from the experience and knowledge of a highly committed team of teaching experts

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.

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
Northern Ireland
£9,250
per year
Republic of Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Luton Campus

Department:

School of Computer Science and Technology

Read full university profile

What students say


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

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?

46%
UK students
54%
International students
74%
Male students
26%
Female students
88%
2:1 or above
31%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

C
E
D

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?

45%
UK students
55%
International students
86%
Male students
14%
Female students
77%
2:1 or above
42%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
C
E

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.

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

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.

£23,000
med
Average annual salary
79%
low
Employed or in further education

Top job areas of graduates

33%
Information technology and telecommunications professionals
21%
Information technology technicians
7%
Sales assistants and retail cashiers

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.

£20k

£20k

£27k

£27k

£29k

£29k

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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