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Ulster University

Artificial Intelligence

UCAS Code: GA50

Bachelor of Engineering (with Honours) - BEng (Hon)

Entry requirements


A level

B,B,B

For those applicants offering desirable subjects at A level (Mathematics/Physics/Chemistry/Software Systems Development/Computing (not IT/ICT)) one grade reduction will be applied at the time of offer. The desirable subject must be achieved at a minimum grade B.

Successful completion of an Ulster University validated Access route with an overall mark of 70% to include 70% in NICATS Maths (level 2) or GCSE Mathematics grade C (or equivalent) for entry to year 1. Other Access courses considered individually.

GCSE/National 4/National 5

English Language and Mathematics at Grade C or above (or equivalent)

Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)

H3,H3,H3,H3,H3

Plus English and Mathematics at Grade H6 or above (HL) or Grade O4 or above (OL) if not sitting at Higher Level is also required.

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

DDM

to include a minimum of 9 unit distinctions.

Scottish Advanced Higher

C,C,C

Scottish Higher

B,B,B,C,C

UCAS Tariff

120-123

We've calculated how many Ucas points you'll need for this course.

About this course


Course option

4.0years

Sandwich | 2020

Subject

Artificial intelligence

The overall aim of the course is to provide a broadly-based education in Artificial Intelligence (AI) and its related technologies which will produce graduates equipped with the knowledge and skills to select and apply appropriate AI techniques to a particular domain.

In support of this, the course has the following aims:

• To provide a systematic study of the theory and principles of AI, which includes fundamental theoretical computer science, mathematics, programming and software engineering.
• To develop competence in the use of programming languages for the production of AI and Machine Learning software components.
• To develop an ability to analyse problems, reason a solution, and represent the knowledge using suitable AI methods and computational techniques.
• To provide opportunities for the development of practical and team-based skills in applying AI in an industrial context.
• To develop key skills and enterprise competencies to support the student's progression into a career in the AI industry or further academic study.

Tuition fees

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

England
£9,250
per year
EU
£4,275
per year
International
£14,060
per year
Northern Ireland
£4,275
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Magee, Londonderry

Department:

Magee Campus

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.

Computing

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?

95%
UK students
5%
International students
76%
Male students
24%
Female students
73%
2:1 or above
11%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
C

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.

Computing

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.

£21,000
med
Average annual salary
89%
med
Employed or in further education
96%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

51%
Information technology and telecommunications professionals
11%
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.

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This 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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This is the percentage of applicants to this course who received an offer last year, through Ucas.

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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the 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).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

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This information is from the Higher Education Statistics Agency (HESA).

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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