Artificial Intelligence with Foundation Year
Entry requirements
A level
Visit https://www.southampton.ac.uk/courses/foundation-years/engineering-physics-maths-geophysics.page#entry_requirements%0A____________________ for full details,
Access to HE Diploma
Visit https://www.southampton.ac.uk/courses/foundation-years/engineering-physics-maths-geophysics.page#entry_requirements%0A____________________ for full details.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Visit https://www.southampton.ac.uk/courses/foundation-years/engineering-physics-maths-geophysics.page#entry_requirements%0A____________________ for full details,
Visit https://www.southampton.ac.uk/courses/foundation-years/engineering-physics-maths-geophysics.page#entry_requirements%0A____________________ for full details.
UCAS Tariff
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About this course
This one-year full-time course is integrated with a further three-year undergraduate degree, and will equip you with the knowledge, skills and attributes needed to successfully meet the challenges of our BEng Artificial Intelligence degree.
It is aimed at students who are highly motivated but did not choose the A level subjects required for direct entry to their chosen degree, are studying a BTEC, are an international or a mature student. Successful completion of this Foundation Year guarantees progression to one of seventeen subject areas, including Artificial Intelligence.
You will study full time through a combination of lectures, workshops, tutorials, and independent study, with three hours of laboratory practical work each week.
You will learn the core principles of mathematics, mechanical and physical science, and electricity and electronics.
You will undertake laboratory work and a variety of assignments to develop your critical thinking and problem solving and will receive full support and feedback from subject tutors to progress your academic development.
Modules
Whichever degree you are aiming for you will take these modules: Electricity and Electronics, Engineering Principles, Coursework (including computer applications), Mathematics A and B, Mechanical Science, and Routes to Success. Specialist Science and Engineering English language module available.
Assessment methods
You will be assessed through a combination of examinations and coursework activities such as formal reports and laboratory reports – all of which you will encounter as typical assessment methods throughout your degree.
Tuition fees
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The Uni
Main Site - Highfield Campus
Foundation Year (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.
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.
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.
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.
£33k
£47k
£53k
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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Course location and department:
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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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