How long is the Higher Diploma in Machine Learning?

The Higher Diploma in Machine Learning runs for 15 to 18 months on-campus with GPU lab access, or up to 24 months part-time through online and distance-learning routes with remote GPU provisioning.

Can I study the Higher Diploma in Machine Learning fully online?

Yes. The Higher Diploma in Machine Learning is delivered on-campus, fully online with provisioned GPU compute, and by distance learning, all assessed against the same end-to-end ML capstone.

Is the Higher Diploma in Machine Learning recognised in the UK?

Yes. The Higher Diploma in Machine Learning is a UK Level 6 qualification aligned with BCS standards and mapped to Linux Foundation and Google Cloud ML certification frameworks.

What are the entry requirements for the Higher Diploma in Machine Learning?

An Advanced Diploma, HND, Foundation Degree, or three years' Python or SQL production experience. IELTS 6.0 for non-native English speakers. The Higher Diploma in Machine Learning values numerate prior study.

What does the Higher Diploma in Machine Learning cost and is funding available?

Tuition for the Higher Diploma in Machine Learning varies by route. Means-tested bursaries and employer-sponsored places are offered each intake — contact LSCT admissions for the current fee schedule.

Higher Diploma in Machine Learning in London | LSCT | Harold International College of London

Course Overview

The Higher Diploma in Machine Learning at the London School of Commerce and Technology (LSCT) is a Level 6 qualification for working data and software professionals ready to step into ML-engineering roles. The syllabus is BCS-aligned and shaped by the way UK regulated firms actually ship ML — PyTorch and JAX for modelling, MLflow and Weights & Biases for experiment tracking, the FCA model-risk expectations under SS1/23 and the AI assurance frameworks taking shape at the UK government's AI Safety Institute.

You will train, tune and deploy a real model end-to-end as your capstone, document its model card to the standard UK regulated firms expect and present it to a panel that includes a working senior MLE. By graduation you can build, ship and govern a model in production, not just in a notebook.

You will study in small, tutor-visible cohorts; meet visiting professionals fortnightly; and work to deadlines that mirror professional practice in the information technology sector. The UK technology economy has shifted decisively towards regulated, cloud-native and AI-aware engineering since the FCA tightened operational-resilience expectations in 2022; the programme is structured around those new realities rather than the textbook conventions of a decade ago.

Key Features

BCS-aligned syllabus, with content mapped to Linux Foundation and Google Cloud ML certification frameworks.
Three study modes — on-campus in London with GPU lab access, fully online with provisioned GPU compute, or distance learning with the same remote provisioning.
End-to-end ML capstone — students train, tune, deploy and monitor a real model with a documented model card.
Model-risk and SS1/23 module — taught with current FCA-regulated firm material.
MLOps module — MLflow, Weights & Biases, feature stores and online evaluation.
Top-up route to our BSc in Computer Science with credit transfer.
Engineering peer review — fortnightly code-review and architecture-review rounds with cohort and a named tutor.

What You Will Learn

The Higher Diploma combines modelling rigour with engineering discipline. You will graduate able to train a useful model, deploy it behind an API, monitor it in production and explain its behaviour to an FCA-grade audit.

Statistical foundations — probability, regression, inference.
Classical machine learning — trees, boosting, kernels.
Deep learning with PyTorch and JAX.
NLP and modern LLM-engineering basics.
MLOps — pipelines, registries, monitoring.
Model evaluation — offline metrics and online tests.
Model risk and AI governance in UK practice.
Capstone end-to-end model.
Code review and pair-programming as a daily working practice with structured rituals.
Production debugging and incident-response habits taught against real outage scenarios.

Across every module you keep a structured working portfolio of shipped code, design documents and post-incident notes — a single source of truth you can show at interview and continue to maintain after graduation. Programme assessment combines coursework, in-class exercises and a substantial practice-led piece of work assessed by a working senior engineer.

Who This Course Is For

The Higher Diploma suits data and software professionals moving into ML.

Working data scientists and analysts stepping into ML-engineering roles.
Software engineers pivoting into applied ML.
International professionals seeking a UK-aligned ML credential.
HND or Advanced Diploma holders looking for a Bachelor's top-up route.
Returners to work re-entering UK tech after a career break or family leave looking for an assessed credential.

Career Pathways

LSCT machine learning Higher Diploma graduates move into ML-engineering, applied-AI and platform roles across UK financial services, healthcare, retail, public sector and the consulting market. Typical destinations include:

Machine Learning Engineer
Applied AI Engineer
MLOps Engineer
Data Scientist (production-focused)
Research Engineer (junior)
AI Governance Officer
Technical Account Manager or Sales Engineer at a UK technology vendor

The Higher Diploma in Machine Learning is a recognised step into our BSc in Computer Science and onto postgraduate study in AI, statistics or applied ML.

LSCT careers service maintains a working contact book of UK technology employers, hosts at least one industry-careers day per academic year and offers structured one-to-one application support during your final stage. Many graduates also build long-term professional networks through the BCS, ISACA and (ISC)² London engagement events that LSCT students are encouraged to attend throughout their study.

Entry Requirements

An Advanced Diploma (Level 5), HND, Foundation Degree, or equivalent prior study in computing, mathematics, statistics or a numerate discipline.
Three years' relevant work experience considered in lieu of academic prerequisites — production Python or SQL experience is particularly valued for the Higher Diploma in Machine Learning.
English language: IELTS 6.0 overall (no band below 5.5) for non-native English speakers.
A personal statement and one academic or professional reference.
Applicants with a public GitHub portfolio, certifications or working production experience are particularly encouraged to mention these on the application form for the programme.

Why Study at LSCT

The London School of Commerce and Technology (LSCT) is a specialist higher-education provider based in central London and part of Harold International College. We teach in small cohorts so every student is visible to their tutor, run a single intake schedule that students can rely on, and partner with UK professional bodies so qualifications carry weight with employers. London puts Whitehall, the City, Silicon Roundabout, the Royal Courts of Justice, the West End and the NHS estate within a short tube ride of every classroom. For machine-learning students the AI Safety Institute, the Alan Turing Institute and the major financial-services ML teams in the City form a deep graduate hiring network within tube distance.

Our IT students often join London-based meetup groups in their first term — BSides London, the London Cloud meetup, the London React community and others — building a working professional network alongside their studies. Students also benefit from our partnership with Harold International College of London, with shared library access, careers-service connections and the option to take a small number of elective modules across the wider Harold International programme catalogue subject to availability.

Whichever study mode you select, you will join a single, intake-aligned cohort with weekly tutor visibility, a named programme tutor for the duration of your studies, an institutional access plan offering peer support and structured careers advice, and the full library and online-resource subscription package of Harold International College of London. Many students travel to London for two short on-campus residentials per academic year — these are optional for online learners but supported by LSCT for students who can attend.

Apply for Higher Diploma in Machine Learning

Close the gap to a Bachelor's degree with the Higher Diploma in Machine Learning. Click Enrol Now to apply; admissions confirm your credit-transfer route within one working day and arrange a short conversation with an ML tutor to confirm your start point.