How long is the Advanced Diploma in Big Data Technologies?

The Advanced Diploma in Big Data Technologies runs 12 to 15 months on-campus, online or by distance learning.

Can I study the Advanced Diploma in Big Data Technologies online?

Yes. LSCE delivers the Advanced Diploma in Big Data Technologies on-campus in central London, fully online with cloud credits, or by distance learning.

Is the Advanced Diploma in Big Data Technologies recognised in the UK?

The Advanced Diploma in Big Data Technologies is a UK Level 5 qualification aligned with Institute of Analytics and BCS competencies, recognised by UK data employers.

What are the entry requirements for the Advanced Diploma in Big Data Technologies?

You need a relevant Level 4 Diploma, Foundation Year or two years of relevant data experience, plus GCSE English and Maths at 4/C. IELTS 6.0 is required for non-native English speakers.

How much does the Advanced Diploma in Big Data Technologies cost?

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

Adv Diploma in Big Data Technologies | LSCE | Harold International College of London

Course Overview

The Advanced Diploma in Big Data Technologies is a UK Level 5 qualification, 12-15 months. The programme runs across 12-15 months and is focused on big data technologies. The course develops practitioners in distributed platforms, Spark, streaming pipelines, lakehouse architecture and cloud data engineering, and it is designed for candidates who need a UK credential that carries clear weight with employers. The programme is aligned with Royal Statistical Society (RSS) and ISACA, and it draws on the wider LSCE partnership with UK professional bodies including Linux Foundation. Teaching is structured around a senior-track Level 5 cohort, with weekly tutor visibility, structured critique of student work and a named programme tutor throughout your studies.

By the time you complete the Advanced Diploma in Big Data Technologies, you will have produced a substantial applied project, a technical portfolio and evidence of independent problem-solving. Assessment across the Advanced Diploma in Big Data Technologies blends coursework, laboratory or lab-book work and a larger applied 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 5 standards, and the course sits inside the LSCE ladder so credit transfer and articulation are considered from your first tutorial. Where relevant, the Advanced Diploma in Big Data Technologies 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 Advanced Diploma in Big Data Technologies remains available throughout your registered study period.

Key Features

Curriculum aligned with Royal Statistical Society (RSS) and ISACA competency frameworks for the Advanced Diploma in Big Data Technologies, reviewed each academic year against the latest professional-body guidance.
Applied laboratory, project or portfolio work in distributed platforms embedded across every taught module of the Advanced Diploma in Big Data Technologies, so learning stays close to industry practice.
Weekly named-tutor visibility on the Advanced Diploma in Big Data Technologies with structured written feedback on your applied Level 5 project or portfolio submission and clear progression targets.
A senior-track Level 5 cohort with cross-cohort critique, employer-style project reviews and mentor pairings drawn from the LSCE alumni network.
LSCE careers-service introductions to UK banks, retailers, streaming platforms and public-sector data teams through the London employer contact book, plus at least one industry-careers day each academic year.
Three parallel study modes on the Advanced Diploma in Big Data Technologies: on-campus in central London, fully online with provisioned lab or GPU access, or by distance learning with the same remote provisioning across the Advanced Diploma in Big Data Technologies.
Rolling intakes and structured induction so working professionals on the Advanced Diploma in Big Data Technologies can start when the diary allows, plus wraparound English-language and study-skills support during induction.

What You Will Learn

Design distributed data platforms using Spark, Kafka and modern lakehouse stacks
Model streaming pipelines for real-time analytics
Apply cloud data engineering across AWS, Azure and Google Cloud
Frame data governance, PII and UK GDPR at platform level
Model whole-life cost and cloud economics of big-data platforms
Deploy pipelines with reproducible orchestration and testing
Apply BCS and Linux Foundation practitioner discipline
Deliver a Level 5 senior-track project on a live big-data build

Who This Course Is For

Working developers and analysts moving into data engineering
Cloud engineers extending into data platforms
Career changers with a technical background
International applicants targeting UK big-data teams
Consultants building a senior big-data credential

Career Pathways

Data Engineer
Big Data Engineer
Analytics Engineer
Cloud Data Engineer
Streaming Analytics Engineer
Data Platform Engineer
Data Architect (junior)
Predictive Analytics Consultant

The LSCE careers service maintains a working contact book across UK banks, retailers, streaming platforms and public-sector data teams, and runs one-to-one application coaching during the final stage of the Advanced Diploma in Big Data Technologies. 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 relevant Diploma (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 are encouraged to include these.

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 Royal Statistical Society (RSS) and ISACA, 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 Advanced Diploma in Big Data Technologies. Alignment with UK AI Safety Institute further strengthens the standing of the Advanced Diploma in Big Data Technologies with employers.

Whether you study on-campus, fully online with provisioned lab or GPU access, or by distance learning, you join the same Advanced Diploma in Big Data Technologies 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 banks, retailers, streaming platforms and public-sector data teams. Students on the Advanced Diploma in Big Data Technologies also access the Harold International College shared library and elective-module catalogue subject to availability.

Apply for Advanced Diploma in Big Data Technologies

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