Applied Artificial Intelligence

BSc · Queen Mary University of London · 3 years

Applied Artificial Intelligence

62

Queen Mary University of London

AI IMPACT
MEDIAN PAY, 15 MOnot published
SATISFACTION84%
CONTINUATION95%
PROFESSIONAL JOBS85%
DESTINATION-WEIGHTEDAI is already used for about 62% of the work its graduates go into (Very High).

About this course

Artificial intelligence is no longer a specialised research field: it is reshaping every industry, from healthcare and finance to transport, education, and the creative sectors. Applied AI focuses not on AI as a theoretical discipline but on deploying it in real-world contexts, which requires a combination of technical understanding, critical awareness of how AI systems behave in practice, and the capacity to translate between technical possibility and genuine organisational need. This is a degree for people who want to build and use AI systems, not just study them. At Queen Mary, University of London, this programme is designed to ensure your skills keep you at the forefront of a rapidly evolving field. You will study the mathematical and computational foundations of machine learning and AI, including probability, linear algebra, and algorithms, alongside the practical skills of buildi

Where its graduates go

The 5 largest scored destinations, covering 82% of graduates; the headline also reflects the subject baseline.

  • 72 / 100Information Technology Professionals · 61% of graduatescards →
  • 60 / 100Business, Research and Administrative Professionals · 6% of graduatescards →
  • 55 / 100Administrative occupations · 2% of graduatescards →
  • 48 / 100Business and public service associate professionals · 5% of graduatescards →
  • 40 / 100Science, engineering and technology associate professionals · 8% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).

MORE ON THIS COURSEClassic profile (reviews, comparisons, open days, campus video) · this course as data. Measured August 2026; pay, satisfaction and continuation figures are the course's own published data (HESA GO / LEO / NSS).