How long is the Advanced Diploma in Machine Learning?

The Advanced Diploma in Machine Learning runs twelve to fifteen months at UK Level 5, with full-time and part-time paths in the same cohort.

Can I study the Advanced Diploma online?

Yes. The Advanced Diploma in Machine Learning is delivered on-campus, fully online with GPU access and by distance learning, sharing the same cohort and named tutor.

Is the Advanced Diploma recognised in the UK?

The Advanced Diploma in Machine Learning is UK Level 5 and aligned with the Institute of Analytics, BCS and Alan Turing Institute practice, and carries credit into an LSCE Bachelor's top-up.

What are the entry requirements?

You need a relevant Diploma, Foundation Year, or two years of relevant experience, plus GCSE English and Mathematics at grade 4/C. Non-native English speakers need IELTS 6.0 overall.

Fees for the Advanced Diploma in Machine Learning are on the LSCE course page and vary by mode. Admissions can walk you through instalments and current scholarship review.

Adv Diploma in Machine Learning | LSCE | Harold International College of London

Course Overview

The Advanced Diploma in Machine Learning is a UK Level 5 qualification running twelve to fifteen months, aligned with Royal Statistical Society professional standards and Institute of Analytics practitioner competencies. It develops the applied machine-learning, model-lifecycle and deployment skills UK teams look for in senior ML practitioners across product, consulting and research-adjacent settings, and the curriculum is refreshed each year against UK sector expectations and the London data and AI ecosystem. Every module is written and marked to UK senior practitioner standards, and the same intake cohort covers on-campus, fully online and distance-learning routes with weekly tutor visibility across every mode. Assessment briefings, taught sessions and tutor clinics run to a single teaching rhythm, and the Advanced Diploma in Machine Learning schedule is published at the start of each intake so learners can plan around work, family and travel commitments.

By the closing weeks of the Advanced Diploma in Machine Learning you will design, train, evaluate and deploy machine-learning systems with production-representative discipline and defend model choices to a UK peer, and be ready to take on a lead role or bridge into an LSCE Bachelor top-up. The programme sits alongside the Alan Turing Institute, the UK AI Safety Institute and the fintech, medtech and public-service data teams that recruit heavily from London-based programmes, so the professional-body scene you are studying sits inside a short tube ride of the central London campus. Assessment blends applied assignments, technical dossiers and a closing capstone moderated to UK senior practitioner standards, with a named programme tutor from induction through the closing submission. Every learner receives structured milestone feedback, one-to-one review sessions and an evidence-based portfolio review that maps directly onto UK employer expectations for the Advanced Diploma in Machine Learning subject area.

Key Features

Named articulation route into the LSCE Higher Diploma and Bachelor top-up.
Regular engagement with PyData London and Alan Turing Institute community.
Modules mapped to BCS and Institute of Analytics senior-practitioner competencies.
Applied projects using PyTorch, scikit-learn and cloud managed ML services.
Structured coverage of MLOps, monitoring, drift detection and responsible AI.
Coaching from working UK machine-learning engineers.
Assessment focused on model artefacts, deployment dossiers and executive briefings.

What You Will Learn

Design MLOps pipelines with reproducibility and lineage tracking.
Instrument deployed models for drift, fairness and reliability monitoring.
Compare classical ML, deep learning and foundation-model approaches.
Apply responsible-AI principles and UK regulatory considerations.
Present a senior-track ML dossier for portfolio review.
Design supervised, unsupervised and reinforcement-learning workflows.
Apply feature engineering and pipeline discipline at production scale.
Evaluate models with statistical rigour and business framing.

Who This Course Is For

Career changers with numerate degrees stepping into UK ML teams.
International applicants seeking a UK-aligned Level 5 ML credential.
Working professionals combining sponsored employment with senior-track study.
Data analysts and scientists moving into applied ML roles.
Software engineers formalising ML engineering practice.

Career Pathways

MLOps Engineer
Data Scientist (senior)
NLP Engineer
Computer Vision Engineer
AI Solutions Consultant
Machine Learning Engineer
Applied AI Researcher

The LSCE careers service maintains a working contact book across UK ML product, consulting and research-adjacent teams, and runs one-to-one senior-track application support during the final stage. Alumni support continues after graduation through the LSCE careers network, so the Advanced Diploma in Machine Learning remains a live credential in your career progression conversations for years after you finish.

Entry Requirements

Applicants to the Advanced Diploma in Machine Learning are assessed on the balance of academic preparation, professional experience and stated intent to work in applied machine learning and model lifecycle. The requirements below are the standard published entry criteria, and admissions will confirm any credit-transfer, English-language or portfolio route in the first response.

A relevant Diploma (including an LSCE Diploma in a machine learning-adjacent field) (Level 4), Foundation Year, or at least two years of relevant professional experience.
GCSE English at grade 4/C and Mathematics at grade 4/C (or equivalent).
IELTS 6.0 overall (no band below 5.5) for non-native English speakers.
One academic or professional reference.
Applicants with a portfolio, GitHub repositories or working project experience in applied machine learning and model lifecycle are encouraged to include these.

Why Study at LSCE

LSCE is the specialist computing and engineering division of Harold International College of London, teaching in small tutor-visible cohorts across every level of the ladder. The central London campus places the Alan Turing Institute at the British Library, the UK AI Safety Institute and the fintech and medtech data teams of the City within a short tube ride, so students learning on the Advanced Diploma in Machine Learning can attend the same industry evenings, guest lectures and continuing professional development sessions that working practitioners attend. Partnerships with UK professional bodies, including the ones woven through the Advanced Diploma in Machine Learning curriculum, mean the qualification carries weight with employers, and the syllabus is refreshed each year against professional-body guidance and the latest UK sector needs.

On-campus, fully online and distance-learning routes join the same intake cohort with weekly tutor visibility, so the senior practitioner experience of the Advanced Diploma in Machine Learning does not depend on which route you pick. Students routinely attend PyData London, London AI meetups, the Royal Statistical Society local groups and the BCS Data Management Specialist Group during their studies, and the LSCE careers service maintains a working contact book across UK employers, hosts industry-careers days and offers one-to-one application support during your final stage. Postgraduate learners on the LSCE ladder also access shared library, elective-module and student-society facilities through the wider Harold International College network subject to availability.

Apply for Advanced Diploma in Machine Learning

Step up into the Level 5 senior track with LSCE. Click Enrol Now for the Advanced Diploma in Machine Learning, admissions will respond within one working day with intake dates and credit-transfer guidance. Enrol Now.