TECHNOLOGY
Study artificial intelligence in London: degrees and conversion courses
London offers AI study across computer science, data science, robotics and applied disciplines. The right course has rigorous foundations, current modules and evidence of student outcomes.
- Decision points
- 5 useful sections
- Reading time
- 1 minutes
- Source checks
- 1 named checkpoint
- Last reviewed
- 2 SEPTEMBER 2026
Choose the academic route
Undergraduate AI degrees usually require mathematics and computing foundations. Specialist master’s courses may expect a quantitative or computing degree, while conversion courses are designed for graduates changing field. Read prerequisites rather than relying on the course title.
London institutions to search
Imperial, UCL, King’s, Queen Mary, City St George’s, Brunel and other London providers offer relevant programmes across AI, machine learning, data science and robotics. Availability and names change, so search the current provider catalogue and course page.
Inspect the modules
Look for probability, linear algebra, programming, algorithms, machine learning, evaluation, data engineering and responsible AI. A good course should explain assessment, project supervision, compute access and whether an industry placement is guaranteed, competitive or optional.
Check admissions precisely
International applicants need course-specific academic equivalence and English evidence. Portfolios rarely replace mathematical prerequisites for a technical degree. Application deadlines, deposits and scholarships differ by provider.
Test career value
Ask for graduate destinations, employer partners, project examples and the share of students who complete any advertised placement. Compare tuition and living costs with realistic entry-level roles; AI is not one job title.
