every UCAS course in one sortable table
entry year 2027

Applied Artificial Intelligence at Queen Mary University of London

Applied Artificial Intelligence (BSc (Hons), I401) at Queen Mary University of London asked for 136 UCAS points for 2026 entry; UCAS’s course data does not show the 2027 requirement yet. The middle entrant to the subject here had 144–159 UCAS points.

UCAS listing ↗ Course page on qmul.ac.uk ↗

UCAS tariff
Competitive
around ABB
Not the 2027 requirement. UCAS’s course search data does not include 2027 requirements yet, so this is the 2026 one and may have changed. Check qmul.ac.uk’s course page ↗ or the UCAS listing ↗.

Who actually got in

Entrants’ UCAS pointsWider subject at this uni
0%10%20%30%40%1%<96961%11229%12832%14413%1608%1766%1923%2081%2242%240+
Entrants hereUK, same subjectAsks 136

The middle entrant had 144–159 points. At least 2% had fewer than the 136 asked.

225 entrants · 2024-25 · HESA rounds to 5%

Came in with A-levels or Highers 81%, a foundation course 13%, an Access course 3%.

Course

Award
Bachelor of Science (with Honours)
Code
I401 · I4 artificial intelligence
Duration
3 years
Mode
Full-time
Starts
September 2027
Entry
Year 1
Year
2027

Student experience

After the first yearSubject at this uni
90%
still studying
UK 88%
0%
left higher education
UK 10%
5%
moved to a lower award
UK 0%
30 students · started 2023-24
National Student SurveySubject at this uni
% positiveHereUKTeaching on my course83%87%
Learning opportunities84%83%
Assessment and feedback79%80%
Academic support90%91%
Organisation and management83%85%
Learning resources87%88%
Student voice79%79%
40 final-year students · 77% responded · NSS 2025-26

After graduating

SalaryWider subject at this uni
15 months
£35k3 years
£40.5k5 years
£52k
£20k£30k£40k£50k£60k£70k£80k
middle halfmedianUK, same subject
15 months: survey of 75 graduates, 2023-24 · 3 and 5 years: tax records, 2016-18 graduates
15 months onWider subject at this uni
64% working12% working and studying4% studying14% unemployed6% other
UK, same subject: 85% in work or study
80%
in professional or managerial jobs
UK 70%
80%
say their work is meaningful
UK 75%
62%
use what they learned
UK 55%
  • Information Technology Professionals54%
  • Business and public service associate professionals7%
  • Elementary occupations6%
  • Sales occupations5%
  • Managers, directors and senior officials5%
Graduate Outcomes survey · 185 graduates · 65% responded · 2023-24
Source: Discover Uni dataset, HESA (CC BY 4.0), summarised for display.

Location

Campus
London, Greater London, England
Postcode
E1 4NS
View on map ↗

Subjects

applied computing computing
artificial intelligence computing
machine learning computing

Campus

Campus
Mile End Campus
Housing
Accommodation ↗
Union
Students' union ↗

Others in computing at other universities

The course at each university nearest this one in entry requirement. Middle entrant: the UCAS points of the middle student who started, from Discover Uni.

UniversityCourseEntryMiddle entrant
Manchester Metropolitan UniversityAI and Data Science BSc (Hons)120 - 144 points112–127
University of ExeterData Science BSc (Hons)AAA - AAB144–159
University of LeicesterCreative Computing BSc (Hons)120 - 144 points112–127
Queen Mary University of LondonApplied Artificial Intelligence this course136 points144–159
Glasgow School of Art3D Modelling BSc (Hons)114 - 128 points—
UCL (University College London)Art and Technology BA (Hons)ABB208–223
University of BuckinghamComputing BSc (Hons)120 - 128 points—
University of LiverpoolCommunication and Media and Game Design Studies BA (Hons)ABB112–127
Bath Spa UniversityCreative Computing BSc (Hons)BBB - BCC—
Keele UniversityEsports Business Management BA (Hons)120 points96–111
University of HertfordshireBSc Digital Technologies for Animation, Games and Immersion BSc (Hons)112 - 120 points128–143

See all 187 in one sortable table, entry requirements side by side

More computing at Queen Mary University of London