How long is the BSc in Artificial Intelligence at LSCE?

The BSc in Artificial Intelligence runs three years full-time, with part-time and accelerated routes available, including a year-two industry placement.

Can I study the BSc in Artificial Intelligence online?

Yes. LSCE delivers the BSc in Artificial Intelligence on-campus in central London, fully online with GPU credits, or by distance learning.

Is the BSc in Artificial Intelligence recognised in the UK?

The BSc in Artificial Intelligence is a UK Level 6 honours degree mapped to BCS and Institute of Analytics competencies and recognised by UK AI employers.

What are the entry requirements for the BSc in Artificial Intelligence?

You need at least 96 UCAS points including a science, maths or computing subject, GCSE English and Maths at 4/C. IELTS 6.0 is required for non-native English speakers.

How much does the BSc in Artificial Intelligence cost?

Fees are published each intake and vary by mode of study. LSCE admissions confirms current pricing and instalment options within one working day.

BSc in Artificial Intelligence | LSCE | Harold International College of London

Course Overview

The BSc in Artificial Intelligence is a UK Level 6 honours degree, three years full-time (part-time and accelerated routes available). The programme runs across 3 years and is focused on artificial intelligence. The course delivers practitioners in machine learning foundations, neural networks, applied AI, ethics and responsible AI practice, and it is designed for candidates who need a UK credential that carries clear weight with employers. The programme is aligned with ISACA and BCS (The Chartered Institute for IT), and it draws on the wider LSCE partnership with UK professional bodies including Royal Statistical Society (RSS). Teaching is structured around a full three-year honours cohort, with weekly tutor visibility, structured critique of student work and a named programme tutor throughout your studies.

By the time you complete the BSc in Artificial Intelligence, you will have produced a substantial final-year project, a professional portfolio and a defendable independent study. Assessment across the BSc in Artificial Intelligence blends coursework, laboratory work, examinations and a final-year individual 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 6 standards, and the course sits inside the LSCE ladder so credit transfer and articulation are considered from your first tutorial. Where relevant, the BSc 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 BSc in Artificial Intelligence remains available throughout your registered study period.

Key Features

Curriculum aligned with ISACA and BCS (The Chartered Institute for IT) competency frameworks for the BSc in Artificial Intelligence, reviewed each academic year against the latest professional-body guidance.
Applied laboratory, project or portfolio work in machine learning foundations embedded across every taught module of the BSc in Artificial Intelligence, so learning stays close to industry practice.
Weekly named-tutor visibility on the BSc in Artificial Intelligence with structured written feedback on your Level 6 individual project and clear progression targets.
A full three-year honours 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 startups, research labs, fintech and public-sector AI programmes through the London employer contact book, plus at least one industry-careers day each academic year.
Three parallel study modes on the BSc 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 BSc in Artificial Intelligence.
Rolling intakes and structured induction so working professionals on the BSc in Artificial Intelligence can start when the diary allows, plus wraparound English-language and study-skills support during induction.

What You Will Learn

Apply linear algebra, probability and calculus to AI problems
Build supervised and unsupervised machine learning pipelines
Design and train neural networks for vision, language and tabular data
Deploy AI models with responsible MLOps practice
Frame ethics, fairness and governance across an AI product lifecycle
Apply UK AI Safety Institute and Alan Turing Institute guidance
Communicate AI results to non-technical stakeholders
Deliver a Level 6 individual project on an applied AI problem

Who This Course Is For

A-level, BTEC and international foundation graduates entering AI degree study
Career changers with a numerate or computing background
International undergraduates targeting UK AI employment
Working professionals seeking a Level 6 AI credential
Applicants planning a placement year with a London AI employer

Career Pathways

AI Engineer (junior)
Machine Learning Engineer
Data Scientist
Applied AI Researcher
NLP Engineer
Computer Vision Engineer
Data Analyst
MLOps Engineer

The LSCE careers service maintains a working contact book across UK AI startups, research labs, fintech and public-sector AI programmes, and runs one-to-one application coaching during the final stage of the BSc 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-levels totalling at least 96 UCAS points (or international equivalent), including one science, maths or computing subject.
GCSE English at grade 4/C and Mathematics at grade 4/C (or equivalent).
Applicants with a Level 3 BTEC or a completed LSCE Certificate/Diploma progress on articulation.
IELTS 6.0 overall (no band below 5.5) for non-native English speakers.
Two references , normally one academic and one personal.

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 ISACA and BCS (The Chartered Institute for IT), 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 BSc in Artificial Intelligence. Alignment with AWS / Google Cloud / Azure certification frameworks further strengthens the standing of the BSc 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 BSc 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 startups, research labs, fintech and public-sector AI programmes. Students on the BSc in Artificial Intelligence also access the Harold International College shared library and elective-module catalogue subject to availability.

Apply for BSc in Artificial Intelligence

Begin your honours degree with the BSc in Artificial Intelligence at LSCE. Click Enrol Now, and admissions will respond within one working day with UCAS guidance, placement information and scholarship review for the BSc in Artificial Intelligence. Enrol Now