How long does the BSc in Machine Learning take?

The BSc in Machine Learning runs for three years full-time, with part-time and accelerated routes available. The BSc in Machine Learning includes a year-two industry placement.

How is the BSc in Machine Learning delivered?

The BSc in Machine Learning is delivered on-campus in London, fully online with GPU access, or by distance learning. All three routes share the same seminar cohort.

Is this BSc recognised in the UK?

Yes. The BSc in Machine Learning is a UK Level 6 honours degree aligned with BCS Practitioner topics and Institute of Analytics themes.

What are the entry requirements for the BSc in Machine Learning?

Applicants need 96 UCAS points including maths, or an equivalent articulation route. IELTS 6.0 overall is required for non-native English speakers.

What are the fees and funding options?

Fees for the BSc in Machine Learning are quoted per intake and include instalment plans. LSCE admissions reviews scholarships and articulation discounts at application.

BSc in Machine Learning | LSCE | Harold International College of London

Course Overview

The BSc in Machine Learning is a UK Level 6 honours degree, normally three years full-time with part-time and accelerated routes covering the honours-level study of statistical learning, deep learning and applied ML engineering. The programme concentrates on Python, scikit-learn, PyTorch, TensorFlow, feature stores, MLOps pipelines and responsible-AI evaluation, and the syllabus is aligned with BCS (The Chartered Institute for IT) guidance and reference materials from Institute of Analytics (IoA). Delivery is available on-campus in central London, fully online with the same lab and tooling provisioning, or by distance learning, and every route joins the same intake cohort with weekly tutor visibility and named programme-tutor support.

By graduation from the BSc in Machine Learning you will be a machine learning graduate ready for a supported UK graduate role, with full honours-level breadth with a research-informed final year and industry placement demonstrated through a portfolio of coursework, applied labs and, at the closing stage, coursework, technical examinations, group project work and an individual final-year project. Every learner leaves the BSc in Machine Learning with a documented body of work suitable for UK employer conversations across product ML teams, analytics consultancies, research-adjacent groups and public-sector data science offices, and with a clear progression route into the next step of the LSCE ladder. Coursework is scheduled around working professionals so that part-time and full-time routes share the same weekly seminar, the same assessment rubric and the same tutor group.

Key Features

Cohort teaching in small tutor-visible groups at the LSCE central London campus, online, or by distance learning.
Curriculum aligned with BCS (The Chartered Institute for IT) guidance and referenced against Institute of Analytics (IoA) and Royal Statistical Society (RSS) materials.
Applied labs covering Python, scikit-learn, PyTorch, TensorFlow, feature stores, MLOps pipelines and responsible-AI evaluation.
Weekly clinic sessions where tutors work through problem sets, code review or design critique with you on your own coursework.
Assessment structured as coursework, technical examinations, group project work and an individual final-year project rather than a single high-stakes final paper, so progress is visible throughout the BSc in Machine Learning.
Careers-service introductions to London employers active in product ML teams, analytics consultancies, research-adjacent groups and public-sector data science offices, with dedicated CV and portfolio review sessions.
Structured articulation route within the LSCE ladder from a UK Level 6 honours degree into the next level of study or straight into employment.

What You Will Learn

Analyse statistical learning theory and applied ML algorithms.
Build and evaluate deep learning models with PyTorch and TensorFlow.
Engineer features from tabular, text and image data at production quality.
Deploy ML pipelines through MLOps tooling with reproducibility.
Apply responsible-AI checks including bias, fairness and explainability.
Evaluate models with appropriate metrics and error analysis.
Complete a placement in a UK product or consulting ML team.
Lead a final-year project on a live machine learning problem.

Who This Course Is For

A-level entrants with a science, maths or computing subject applying directly.
LSCE Certificate, Diploma or Higher Diploma progressors on articulation.
BTEC Level 3 holders and access-course graduates in a relevant subject.
International applicants seeking a UK honours degree in machine learning.
Career changers combining paid work with an accelerated or part-time route.

Career Pathways

Data Analyst
MLOps Engineer
Applied AI Researcher
Computer Vision Engineer
NLP Engineer
Data Engineer
BI Analyst
Blockchain Developer

The LSCE careers service supports BSc in Machine Learning graduates with structured CV clinics, portfolio and mock-interview sessions and named introductions to hiring managers across product ML teams, analytics consultancies, research-adjacent groups and public-sector data science offices. Every student meets a named careers adviser in the final stage, and alumni continue to receive careers coaching, job-alert access and application review after graduation. Where the BSc in Machine Learning offers a placement or capstone with an employer sponsor, the careers team helps you shape that engagement into a portfolio entry recruiters can validate.

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 division of Harold International College of London teaching in small, tutor-visible cohorts. LSCE partners with UK professional bodies including BCS (The Chartered Institute for IT), and central London places the Alan Turing Institute, the NCSC, the ICE, IMechE and IET, and the City's engineering and technology employers within a short tube ride of every classroom.

Every intake, on-campus or remote, joins the same weekly seminar structure with named programme-tutor support. Three parallel study modes let A-level entrants, articulation progressors and international applicants complete the BSc in Machine Learning without leaving employment, and the LSCE careers service runs at least one industry-careers day each academic year to connect students with employers active in product ML teams, analytics consultancies, research-adjacent groups and public-sector data science offices. Curriculum alignment is refreshed each year against BCS (The Chartered Institute for IT) and Institute of Analytics (IoA) guidance so that graduates leave with a syllabus that reflects current UK sector expectations.

Apply for BSc in Machine Learning

Begin your honours degree with LSCE. Click Enrol Now, admissions will respond within one working day with UCAS guidance, placement information and scholarship review. Rolling intake dates mean early applications receive the widest choice of tutors, elective modules and supporting information, and international applicants are supported through visa, accommodation and English-language guidance in the same first response. Enrol Now