Bachelor of Science - Artificial Intelligence (Honours) (with placement year)

The sandwich Artificial Intelligence route adds a placement year between the taught levels — typically in data science teams, analytics functions or software groups deploying machine learning — and returns students to final-year AI specialisms with production data experience behind them. The syllabus follows the standard BSc from mathematical foundations through machine learning, NLP, vision and the ethics strand.

This sheet preserves a source anomaly worth flagging loudly: the export prices this placement variant at £14,250 against £17,300 for the standard route — an unusual discount recorded verbatim from the portal that agents should verify with DMU before quoting, since it makes the four-year plan cheaper per taught year than the three-year one.

Beyond the headline fee anomaly, timing mechanics favour early applicants to this variant: data-team placements screen on coursework evidence available only after the second year’s machine-learning modules begin, so students who bank a small public project portfolio during year one enter the placement season with material competitors assemble too late — preparation the school’s coordinators explicitly encourage.

Placement value in AI is disproportionate because the field’s junior bottleneck is precisely production experience: students return knowing how models behave against real pipelines, drift and stakeholders, and their final-year projects — frequently built on host data — read as professional work rather than coursework. January entry windows appear across all recorded cycles.

Counsel this variant as the higher-probability path into a fashionable but gate-kept field: the placement supplies the evidence junior AI hiring demands, and host conversion is established practice in data teams. Graduation around 2030 falls inside the 18-month Graduate Route settlement covering post-2026 applications, with dependants excluded on the taught route throughout the four years.