How long is the BSc in Cloud Computing Systems?

The BSc in Cloud Computing Systems is a three-year full-time UK honours degree with part-time and accelerated routes. Every study mode of the BSc in Cloud Computing Systems shares one intake calendar.

How is the BSc in Cloud Computing Systems delivered?

The BSc in Cloud Computing Systems is offered on-campus in London, online with remote provisioning, and by distance learning. Cohorts are unified across every route.

Is the BSc in Cloud Computing Systems UK recognised?

Yes. The BSc in Cloud Computing Systems is a Level 6 UK honours degree with a curriculum aligned to BCS and the Cloud Native Computing Foundation.

What are the entry requirements for the BSc in Cloud Computing Systems?

Applicants need 96 UCAS points including a science, maths or computing subject. LSCE Certificate or Diploma holders can articulate onto the BSc in Cloud Computing Systems.

What does the BSc in Cloud Computing Systems cost?

Fees for the BSc in Cloud Computing Systems vary by mode and residency. Admissions publishes the current schedule with scholarships and instalment options during application.

BSc in Cloud Computing Systems | LSCE | Harold International College of London

Course Overview

The BSc in Cloud Computing Systems at the London School of Computing and Engineering is a three-year Level 6 UK honours degree delivered from the AI, Data Science and Emerging Technologies department. The programme develops multi-cloud engineering, data and applied AI practice for UK enterprise, public-sector and product employers.

By graduation you will have completed an industry placement, a final-year capstone and portfolio evidence suitable for cloud-engineering interviews across UK employers.

The BSc in Cloud Computing Systems runs across three years of study. Year one builds foundational subject modules and academic-skills discipline; year two combines advanced modules with a supported industry placement; year three completes elective specialisation modules alongside a substantial capstone or dissertation. Assessment blends coursework, technical reports, applied laboratory work and the final-year project, so graduates leave with a portfolio that reads as evidence for UK graduate employers rather than a transcript alone.

Study support on the BSc in Cloud Computing Systems includes weekly tutorials, module-level coaching, dedicated placement preparation, a named programme tutor throughout, and access to a shared study platform. The industry placement is supported end-to-end by the LSCE careers service, from applications through to on-placement mentoring, and the final-year capstone is scoped in conversation with a supervisor to match each student career direction.

Key Features

Curriculum informed by BCS (The Chartered Institute for IT), the Cloud Native Computing Foundation (CNCF) and cloud-provider certification frameworks.
Year-two industry placement supported by the LSCE careers service.
Applied modules across cloud engineering, data platforms, applied ML and security.
Three delivery modes with the same weekly tutor visibility and identical London-based intake calendar.
Final-year capstone or dissertation tied to a UK cloud-engineering problem.
Structured one-to-one careers coaching in the final year.
GPU-enabled lab access for online and distance students so data and ML modules run without local hardware constraints.
Reading-week clinics that cover UK responsible-AI, ethics and privacy expectations at a working level.

What You Will Learn

Design and operate cloud-native systems across the main providers.
Build data platforms and pipelines using cloud services.
Structure secure identity and access architectures.
Adopt observability, tracing and reliability practice.
Deploy applied ML services on cloud platforms.
Manage cost, sustainability and capacity across the stack.
Contribute to cloud-native standards and open source.
Communicate cloud-engineering decisions to business stakeholders.
Document data lineage and model provenance to a standard UK reviewers accept.
Communicate quantitative results and their uncertainty to non-technical UK audiences.

Who This Course Is For

School leavers targeting a full UK honours degree in cloud engineering.
Career changers with strong technical foundations.
International applicants aiming for UK cloud-engineering roles.
Technicians progressing from HND to full honours.
Working professionals seeking a UK-recognised Bachelor's credential.

This cohort mix matters. LSCE deliberately blends first-time UK study applicants with mid-career professionals, so peer learning inside the BSc in Cloud Computing Systems carries real weight. Applicants unsure about the fit are encouraged to speak with admissions, who can walk through the reality of study alongside employment and international commitments before any decision.

Career Pathways

Data Engineer
MLOps Engineer
AI Engineer
Data Scientist
Applied AI Researcher
Predictive Analytics Consultant
IoT Solutions Engineer

The LSCE careers service maintains a working contact book across UK cloud, data and product teams and gives every honours cohort structured application support in the final year. Careers coaching also covers the UK data, AI and product market, portfolio-review expectations at senior interviews, and the technical-communication skills that hiring managers use to distinguish practitioners from paper-only candidates.

Employer engagement is grounded in the London data and AI ecosystem, from Silicon Roundabout product firms and City data teams through to public-sector data groups and applied-research organisations. Careers coaching is deliberately practical, focusing on portfolio artefacts and technical narratives that hiring panels actually read. Bachelor cohorts receive priority information on LSCE postgraduate intakes so the route from honours into Master level study is transparent from the outset.

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

LSCE is a specialist division of Harold International College of London teaching in small tutor-visible cohorts. Central London remains the UK's largest technology employment centre and puts BCS, the Alan Turing Institute and major cloud teams within a short tube ride of the classroom.

Whether you study on-campus, online or by distance learning, you join the same intake cohort with weekly tutor visibility. BSc students routinely attend London Node meetups and Cloud Native London events during their programme.

Beyond the classroom, LSCE runs regular alumni panels, applied-AI seminars and reading groups drawn from the department's connection into UK data-science practice. Students on the BSc in Cloud Computing Systems are encouraged to attend at least one industry event per term, and the careers service publishes a monthly digest of UK AI and data hiring, funded studentships and applied-research opportunities across the London ecosystem. The digest surfaces internships and applied-research placements alongside permanent positions, and highlights UK employers actively recruiting graduates who can demonstrate practitioner artefacts rather than theoretical familiarity alone.

Apply for BSc in Cloud Computing Systems

Begin your honours degree with LSCE. Click Enrol Now and admissions will respond within one working day with UCAS guidance, placement information, scholarship review and current UK employers sponsoring BSc in Cloud Computing Systems placements. Enrol Now.