Robotics and Artificial intelligence
University of Hertfordshire
UCAS Code: H671 | Bachelor of Engineering - BEng
Entry requirements
A level
Maths and either physics or technology or engineering based subjects, excluding general studies/critical thinking
Engineering diploma with 30 Level 3 credits at distinction to include maths or science or principles units. the remaining 15 L3 credits must be at merit.
GCSE/National 4/National 5
English Language 4/C Maths 4/C
120-128 points from a minimum of 2 HL subjects at grade 4 or above to include HL Maths and Physics
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Extended diploma in engineering (DDM) to include Distinction in further maths
UCAS Tariff
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
BEng award in Robotics and Artificial Intelligence will provide for both the hardware and software, the knowledge and skills essential for developing and building intelligent robotic systems. This BEng course will primarily focus on developing the technical and professional engineering skills necessary for building intelligent robotic systems.There is the option of a Sandwich year or time spent studying abroad in order to further develop students' working experience.
Tuition fees
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The Uni
University of Hertfordshire
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
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)
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.
£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.
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.
£25k
£31k
£38k
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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Higher entry requirementsThis is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.
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Teaching Excellence Framework (TEF):
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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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