MSc in Artificial Intelligence
Course Overview
The MSc in Artificial Intelligence is a UK Level 7 postgraduate degree, one year full-time or two years part-time. The programme runs across 1 year full-time / 2 years part-time and is focused on applied artificial intelligence. The course equips practitioners in foundation models, machine learning engineering, MLOps and responsible AI governance, and it is designed for candidates who need a UK credential that carries clear weight with employers. The programme is aligned with Royal Statistical Society (RSS) and ISACA, and it draws on the wider LSCE partnership with UK professional bodies including Linux Foundation. Teaching is structured around a small research-adjacent postgraduate cohort, with weekly tutor visibility, structured critique of student work and a named programme tutor throughout your studies.
By the time you complete the MSc in Artificial Intelligence, you will have produced a Level 7 dissertation or sponsor consulting project on a real problem, backed by structured research methods training. Assessment across the MSc in Artificial Intelligence blends coursework, applied artefacts and a closing Level 7 dissertation or sponsor consulting project, so you leave with evidence you can put in front of a UK employer or a professional-registration panel. Marks are moderated to UK Level 7 standards, and the course sits inside the LSCE ladder so credit transfer and articulation are considered from your first tutorial. Where relevant, the MSc in Artificial Intelligence also builds portfolio evidence toward professional-body membership and the Engineering Council or BCS chartership routes, and the wraparound English-language, careers and study-skills provision on the MSc in Artificial Intelligence remains available throughout your registered study period.
Key Features
- Curriculum aligned with Royal Statistical Society (RSS) and ISACA competency frameworks for the MSc in Artificial Intelligence, reviewed each academic year against the latest professional-body guidance.
- Applied laboratory, project or portfolio work in foundation models embedded across every taught module of the MSc in Artificial Intelligence, so learning stays close to industry practice.
- Weekly named-tutor visibility on the MSc in Artificial Intelligence with structured written feedback on your Level 7 dissertation or sponsor consulting project and clear progression targets.
- A small research-adjacent postgraduate cohort with cross-cohort critique, employer-style project reviews and mentor pairings drawn from the LSCE alumni network.
- LSCE careers-service introductions to UK AI research centres, fintech, defence primes and the London AI cluster through the London employer contact book, plus at least one industry-careers day each academic year.
- Three parallel study modes on the MSc in Artificial Intelligence: on-campus in central London, fully online with provisioned lab or GPU access, or by distance learning with the same remote provisioning across the MSc in Artificial Intelligence.
- Rolling intakes and structured induction so working professionals on the MSc in Artificial Intelligence can start when the diary allows, plus wraparound English-language and study-skills support during induction.
What You Will Learn
- Design supervised, unsupervised and self-supervised learning pipelines for real datasets
- Fine-tune and evaluate foundation models against task-specific benchmarks
- Build production MLOps pipelines with monitoring, drift detection and reproducible training
- Apply the UK AI Safety Institute and Alan Turing Institute guidance on responsible AI
- Design experiments with statistical rigour and defendable evaluation baselines
- Deploy models on cloud GPU infrastructure with cost and carbon accounting
- Frame ethics, fairness and governance considerations across an AI product lifecycle
- Complete a Level 7 dissertation or sponsor consulting project on a live AI problem
Who This Course Is For
- Software engineers and data professionals moving into applied AI roles
- Graduates with a maths, statistics or computing background stepping into research-adjacent practice
- International postgraduates targeting UK AI employers and research centres
- Working professionals sponsored to embed an AI capability in their organisation
- Doctoral-track applicants using the MSc dissertation as a springboard into research
Career Pathways
- AI Engineer
- Machine Learning Engineer
- Applied AI Researcher
- MLOps Engineer
- NLP Engineer
- Computer Vision Engineer
- AI Governance Officer
- Data Scientist (senior)
The LSCE careers service maintains a working contact book across UK AI research centres, fintech, defence primes and the London AI cluster, and runs one-to-one application coaching during the final stage of the MSc in Artificial Intelligence. Structured application support covers CV, portfolio and interview preparation for UK employers, with warm introductions where cohort fit is close, plus alumni-network mentoring throughout your studies and after graduation.
Entry Requirements
- A UK Bachelor's degree at 2:2 or above, or an international equivalent, in a relevant discipline.
- Applicants with five or more years of senior professional experience are considered for admission by portfolio.
- IELTS 6.5 overall (no band below 6.0) for non-native English speakers.
- Two references , normally academic; senior professional accepted for experience-route applicants.
- A one-page personal statement setting out your dissertation or capstone interest.
Why Study at LSCE
The London School of Computing and Engineering is a specialist computing and engineering division of Harold International College of London. LSCE teaches in small tutor-visible cohorts, partners with UK professional bodies including Royal Statistical Society (RSS) and ISACA, and puts the AI Safety Institute, Alan Turing Institute, the NCSC, the ICE, IMechE and IET, and central London's engineering consultancies within a short tube ride of every classroom on the MSc in Artificial Intelligence. Alignment with UK AI Safety Institute further strengthens the standing of the MSc in Artificial Intelligence with employers.
Whether you study on-campus, fully online with provisioned lab or GPU access, or by distance learning, you join the same MSc in Artificial Intelligence intake with weekly tutor visibility and named programme-tutor support. LSCE students routinely attend BSides London, IET Young Professionals events, IMechE London Region evenings and BCS group meetings during their studies, and the careers service holds a working contact book with UK employers across UK AI research centres, fintech, defence primes and the London AI cluster. Students on the MSc in Artificial Intelligence also access the Harold International College shared library and elective-module catalogue subject to availability.
Apply for MSc in Artificial Intelligence
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